xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

d8965469242d4e72828c54c19635f40c52cf043e

850

py

Python

douyu/douyu/spiders/spider.py

smujm/ScrapyProjects

04e9eb42c64805475893be595db4f3b6530ba597

[ "MIT" ]

null

douyu/douyu/spiders/spider.py

smujm/ScrapyProjects

04e9eb42c64805475893be595db4f3b6530ba597

[ "MIT" ]

null

douyu/douyu/spiders/spider.py

smujm/ScrapyProjects

04e9eb42c64805475893be595db4f3b6530ba597

[ "MIT" ]

null

import scrapy import json from douyu.items import DouyuItem class SpiderSpider(scrapy.Spider): name = 'douyu' allowed_domains = ['https://www.douyu.com'] base_url = 'http://capi.douyucdn.cn/api/v1/getVerticalRoom?limit=20&offset=' offset = 0 start_urls = [base_url + str(offset)] def parse(sel...

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d897d34629e02e537f13d11f12451d99e9ab865b

521

py

Python

synonym.py

amber5634/Synonym-Generator-using-Word-Net

5ce0f71d4639bbae39ee0d279103e576065c094a

[ "MIT" ]

null

synonym.py

amber5634/Synonym-Generator-using-Word-Net

5ce0f71d4639bbae39ee0d279103e576065c094a

[ "MIT" ]

null

synonym.py

amber5634/Synonym-Generator-using-Word-Net

5ce0f71d4639bbae39ee0d279103e576065c094a

[ "MIT" ]

null

import nltk from nltk.corpus import wordnet class Keyword: def synonymn_generator(self): synonyms = [] antonyms = [] word = input("enter the word : ") for syn in wordnet.synsets(word): for l in syn.lemmas(): synonyms.append(l.name()) ...

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d89df34e44c6bfd5607bac84838a10b568961067

3,846

py

Python

scripts/src/__main__.py

9999years/dotfiles

763c2ca5f8aeb3b64eb28262e6708135e6cd2005

[ "MIT" ]

1

2020-09-09T15:06:43.000Z

scripts/src/__main__.py

9999years/dotfiles

763c2ca5f8aeb3b64eb28262e6708135e6cd2005

[ "MIT" ]

2

2020-09-09T14:16:21.000Z

2020-09-29T17:31:15.000Z

scripts/src/__main__.py

9999years/dotfiles

763c2ca5f8aeb3b64eb28262e6708135e6cd2005

[ "MIT" ]

2

2020-09-04T14:55:57.000Z

2020-10-30T19:08:58.000Z

"""Entry point for linking dotfiles. """ from __future__ import annotations import argparse import os import subprocess import sys from dataclasses import dataclass from pathlib import Path from typing import Optional from . import log from .link import Linker from .resolver import Resolver from .scan import Scanner...

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null

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0

d89ebf9a6b581abb7634d793d29dd4afbd5a6f07

3,778

py

Python

verified.py

tophersmith/veracode-verified-checker

f2f85dbb4b8039c9ccd9848367a37b9caab0c9aa

[ "MIT" ]

null

verified.py

tophersmith/veracode-verified-checker

f2f85dbb4b8039c9ccd9848367a37b9caab0c9aa

[ "MIT" ]

null

verified.py

tophersmith/veracode-verified-checker

f2f85dbb4b8039c9ccd9848367a37b9caab0c9aa

[ "MIT" ]

null

import sys import json import requests from veracode_api_signing.plugin_requests import RequestsAuthPluginVeracodeHMAC from pprint import pprint from datetime import datetime from app_definition import AppDefinition from verified_check import VerifiedStandard, VerifiedTeam, VerifiedContinuous from verified_report impor...

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null

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d8a4ffb4de362b2f4a2070e30f28d8fd00e06627

206

py

Python

try-except.py

arhue/python-learning

058c93315fd5aa76584e32432e7c80cb3972478e

[ "MIT" ]

null

try-except.py

arhue/python-learning

058c93315fd5aa76584e32432e7c80cb3972478e

[ "MIT" ]

null

try-except.py

arhue/python-learning

058c93315fd5aa76584e32432e7c80cb3972478e

[ "MIT" ]

null

x=input("Enter a no. I will convert to integer") z=1 try: y=int(float(x)) z="float" except: z="wrong" if z=="wrong": print("fix your input") else: print("int of your input is:", y)

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0

null

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0

d8a7d33720089c11a74552c8c79ff625254ee85a

769

py

Python

cuhk03/init_env.py

cwpeng-cn/TorchReID

e6cf1d38bfc3100ea19e3e92aa4306b79fd3517b

[ "MIT" ]

null

cuhk03/init_env.py

cwpeng-cn/TorchReID

e6cf1d38bfc3100ea19e3e92aa4306b79fd3517b

[ "MIT" ]

null

cuhk03/init_env.py

cwpeng-cn/TorchReID

e6cf1d38bfc3100ea19e3e92aa4306b79fd3517b

[ "MIT" ]

null

import zipfile import os def download_and_prepare(): reid_path = "/content/drive/My Drive/Colab/datasets/reid.zip" file_zip = zipfile.ZipFile(reid_path, 'r') for file in file_zip.namelist(): file_zip.extract(file, r'.') with open("/content/drive/My Drive/Colab/ReID works/CVPR fintuning/resnet...

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d8a907f41af888797cb8bfb82d2555a46654432c

2,109

py

Python

myutils/dictionaries.py

joeledwardson/betfair-browser

b641f134e60307250a0e51bafa849422ecf5264b

[ "MIT" ]

3

2021-11-23T19:03:02.000Z

2021-11-24T08:44:23.000Z

myutils/dictionaries.py

joeledwardson/betfair-browser

b641f134e60307250a0e51bafa849422ecf5264b

[ "MIT" ]

2

2021-11-23T18:47:31.000Z

2021-12-08T15:36:11.000Z

myutils/dictionaries.py

joeledwardson/betfair-browser

b641f134e60307250a0e51bafa849422ecf5264b

[ "MIT" ]

null

from typing import Iterable, Dict import copy from collections.abc import Mapping from .exceptions import DictException def validate_config(cfg: Dict, cfg_spec: Dict): _cfg = copy.deepcopy(cfg) for k, spec in cfg_spec.items(): exist = k in _cfg val = _cfg.pop(k, None) if not spec.get('...

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d8aa39d9d29606bfc3d0bf3b107305b6d1c667aa

3,406

py

Python

metallic/metalearners/mbml/base.py

Renovamen/metallic

c3992e4b322f9d41d9b7997c472baf99c843046c

[ "MIT" ]

5

2021-04-14T07:31:06.000Z

2021-12-11T08:12:10.000Z

metallic/metalearners/mbml/base.py

Renovamen/metallic

c3992e4b322f9d41d9b7997c472baf99c843046c

[ "MIT" ]

1

2021-04-14T07:44:36.000Z

2021-04-15T14:01:52.000Z

metallic/metalearners/mbml/base.py

Renovamen/metallic

c3992e4b322f9d41d9b7997c472baf99c843046c

[ "MIT" ]

null

import os from abc import ABC, abstractmethod from typing import Callable, Optional, Tuple import torch from torch import nn, optim from ..base import MetaLearner class MBML(MetaLearner, ABC): """ A base class for metric-based meta-learning algorithms. Parameters ---------- model : torch.nn.Modul...

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0

d8aadfacb7f4de5abfc2dccb19ef5736e4d36538

593

py

Python

python/sorting/group_0s_1s.py

amitsaha/playground

82cb5ac02ac90d3fa858a5153b0a5705187c14ce

[ "Unlicense" ]

4

2018-04-14T16:28:39.000Z

2021-11-14T12:08:02.000Z

python/sorting/group_0s_1s.py

amitsaha/playground

82cb5ac02ac90d3fa858a5153b0a5705187c14ce

[ "Unlicense" ]

3

2022-02-14T10:38:51.000Z

2022-02-27T16:01:16.000Z

python/sorting/group_0s_1s.py

amitsaha/playground

82cb5ac02ac90d3fa858a5153b0a5705187c14ce

[ "Unlicense" ]

4

2015-07-07T01:01:27.000Z

2019-04-12T05:38:26.000Z

''' Groups the 0s and 1s together from a random array Reference: http://www.geeksforgeeks.org/segregate-0s-and-1s-in-an-array-by-traversing-array-once/ ''' from __future__ import print_function def rearrange(arr): p1 = 0 p2 = len(arr) - 1 while p1 < p2: if arr[p1] == 0: p1 += 1 ...

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null

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1

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d8ad33478b60fc223af35de65ba50412bd1bf355

3,039

py

Python

GABClient/GAB.Client/wwwroot/ml/pipeline1/mu.py

intelequia/GAB2019ScienceLab.Client

982bcfacc31c25201755eb2353aef2204923261b

[ "MIT" ]

null

GABClient/GAB.Client/wwwroot/ml/pipeline1/mu.py

intelequia/GAB2019ScienceLab.Client

982bcfacc31c25201755eb2353aef2204923261b

[ "MIT" ]

null

GABClient/GAB.Client/wwwroot/ml/pipeline1/mu.py

intelequia/GAB2019ScienceLab.Client

982bcfacc31c25201755eb2353aef2204923261b

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np from scipy.signal import savgol_filter import sys def Interpolate(time, mask, y): yy = np.array(y) t_ = np.delete(time, mask) y_ = np.delete(y, mask, axis = 0) if len(yy.shape) == 1: yy[mask] = np.interp(time[mask], t_, y_) e...

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null

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d8ad658c4df19c485095900714b12cbc63dc40bd

544

py

Python

setup.py

farouk-muha/pav_bsc

f12e2365e97146d05a1e60f1a6112bb3e08295dd

[ "MIT" ]

null

setup.py

farouk-muha/pav_bsc

f12e2365e97146d05a1e60f1a6112bb3e08295dd

[ "MIT" ]

null

setup.py

farouk-muha/pav_bsc

f12e2365e97146d05a1e60f1a6112bb3e08295dd

[ "MIT" ]

null

# -*- coding: utf-8 -*- from setuptools import setup, find_packages with open('requirements.txt') as f: install_requires = f.read().strip().split('\n') # get version from __version__ variable in pav_bsc/__init__.py from pav_bsc import __version__ as version setup( name='pav_bsc', version=version, description='Pa...

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d8adc735050a0fd5a61d2b42aa76a945a006c221

2,957

py

Python

components/resnet-cmle/resnet/deploy.py

cbreuel/pipelines

22a85b4af642b896b57293c0d15d0f20c995be99

[ "Apache-2.0" ]

9

2019-03-28T02:20:45.000Z

2021-12-01T22:43:36.000Z

components/resnet-cmle/resnet/deploy.py

cbreuel/pipelines

22a85b4af642b896b57293c0d15d0f20c995be99

[ "Apache-2.0" ]

2

2019-10-17T16:51:43.000Z

2019-10-18T01:18:35.000Z

components/resnet-cmle/resnet/deploy.py

cbreuel/pipelines

22a85b4af642b896b57293c0d15d0f20c995be99

[ "Apache-2.0" ]

4

2019-04-11T12:09:59.000Z

2020-10-11T15:53:53.000Z

# Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

41.069444

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d8adf264910375ea507ebd88b7147dd9829ca904

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py

Python

tests/test_quickbooks_payroll.py

fulfilio/trytond-quickbooks-payroll

18148e6f366025268b4335a89f07d2506ad5f446

[ "BSD-3-Clause" ]

null

tests/test_quickbooks_payroll.py

fulfilio/trytond-quickbooks-payroll

18148e6f366025268b4335a89f07d2506ad5f446

[ "BSD-3-Clause" ]

null

tests/test_quickbooks_payroll.py

fulfilio/trytond-quickbooks-payroll

18148e6f366025268b4335a89f07d2506ad5f446

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ tests/test_quickbooks_payroll.py """ import csv import tempfile class TestQuickBooksPayroll: def test_views(self, install_module): "Test all tryton views" from trytond.tests.test_tryton import test_view test_view('quickbooks_payroll') def test_depend...

31.303571

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d8aed52f5f4d4d6a14a346f71946749b037d0d84

4,284

py

Python

general/cc12m.py

robvanvolt/DALLE-datasets

527e54aeac879bc4da669fa5c5b64c9354890728

[ "MIT" ]

60

2021-05-09T02:51:10.000Z

2022-03-27T06:36:04.000Z

general/cc12m.py

robvanvolt/DALLE-datasets

527e54aeac879bc4da669fa5c5b64c9354890728

[ "MIT" ]

4

2021-07-07T21:24:33.000Z

2021-11-17T21:54:17.000Z

general/cc12m.py

robvanvolt/DALLE-datasets

527e54aeac879bc4da669fa5c5b64c9354890728

[ "MIT" ]

9

2021-05-20T14:38:59.000Z

2022-02-18T11:51:20.000Z

import pandas as pd import os import requests from pathlib import Path from PIL import Image from tqdm import tqdm from multiprocessing import Pool import gc import glob cc_url = 'https://storage.googleapis.com/conceptual_12m/cc12m.tsv' root_folder = './' total = 12423374 maxwidth = 256 maxheight = 256 thread_count = ...

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d8b00b965eee02af4b8f3676c77e8a154d98eecb

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py

Python

src/itint/widget.py

ColorsWind/iTint

48d18ed42d9ca44caa2c71104cf4f489fe54d98d

[ "MIT" ]

1

2022-01-15T07:01:41.000Z

src/itint/widget.py

ColorsWind/iTint

48d18ed42d9ca44caa2c71104cf4f489fe54d98d

[ "MIT" ]

null

src/itint/widget.py

ColorsWind/iTint

48d18ed42d9ca44caa2c71104cf4f489fe54d98d

[ "MIT" ]

null

import numpy as np from PySide2.QtCore import Qt, QUrl, QSize, QEventLoop from PySide2.QtGui import QPixmap, QDropEvent, QDragEnterEvent, QMouseEvent, QResizeEvent, QHideEvent from PySide2.QtWidgets import QApplication, QWidget, QHBoxLayout, QFileDialog, QWidgetItem from itint.octree import Octree from itint.ui_widge...

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d8b41261c2c681fcdb62fde84ac5266ed078c65f

816

py

Python

hwtLib/examples/statements/constDriver_test.py

optical-o/hwtLib

edad621f5ad4cdbea20a5751ff4468979afe2f77

[ "MIT" ]

null

hwtLib/examples/statements/constDriver_test.py

optical-o/hwtLib

edad621f5ad4cdbea20a5751ff4468979afe2f77

[ "MIT" ]

null

hwtLib/examples/statements/constDriver_test.py

optical-o/hwtLib

edad621f5ad4cdbea20a5751ff4468979afe2f77

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from hwt.hdl.constants import Time from hwt.simulator.simTestCase import SingleUnitSimTestCase from hwtLib.examples.statements.constDriver import ConstDriverUnit class ConstDriverTC(SingleUnitSimTestCase): @classmethod def getUnit(cls): cls.u = ConstDri...

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0

null

0

null

0

1

0

d8b44009ab655e1119911f81cd812061c34aa19f

491

py

Python

tutorial_web_scraper.py

mariusciurea/webscraping-tutorials

9fb53252c4cc08d5e2b8b0d46e67c2374e7c84c5

[ "Unlicense" ]

null

tutorial_web_scraper.py

mariusciurea/webscraping-tutorials

9fb53252c4cc08d5e2b8b0d46e67c2374e7c84c5

[ "Unlicense" ]

null

tutorial_web_scraper.py

mariusciurea/webscraping-tutorials

9fb53252c4cc08d5e2b8b0d46e67c2374e7c84c5

[ "Unlicense" ]

null

import requests from bs4 import BeautifulSoup # with open('index.html', 'rb') as hf: # soup = BeautifulSoup(hf, 'html.parser') # print(soup.prettify()) # print(soup.head.title.text) # print(soup.li.a.h2.text) # print(soup.li.a.p.text) source_code = requests.get('https://mariusciurea.github.io/links/') ...

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null

0

null

0

1

0

d8ba6e17bc85f2ea591e7b78c0b6ba596ae2eb60

2,866

py

Python

google_assist.py

eholic/dash-assistant

97204e1402fbb742fb7838e995110a22ea814ab5

[ "MIT" ]

null

google_assist.py

eholic/dash-assistant

97204e1402fbb742fb7838e995110a22ea814ab5

[ "MIT" ]

null

google_assist.py

eholic/dash-assistant

97204e1402fbb742fb7838e995110a22ea814ab5

[ "MIT" ]

null

import os import sys import requests import logging import json import google.auth.transport.grpc import google.auth.transport.requests import google.oauth2.credentials from google.assistant.embedded.v1alpha2 import ( embedded_assistant_pb2, embedded_assistant_pb2_grpc ) from config import Config # Ref: htt...

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0.0127

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2,866

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0.230769

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0

null

0

null

0

1

0

d8bd67134893a262683665a0dbc9878a51447c79

15,809

py

Python

menu.py

Jasonlmx/Touhou-Star-Salvation

a8804450625957af7b81d0075873a68708374db8

[ "MIT" ]

4

2021-10-15T13:18:43.000Z

2022-03-05T10:49:47.000Z

menu.py

Jasonlmx/Touhou-Star-Salvation

a8804450625957af7b81d0075873a68708374db8

[ "MIT" ]

null

menu.py

Jasonlmx/Touhou-Star-Salvation

a8804450625957af7b81d0075873a68708374db8

[ "MIT" ]

1

2021-11-29T04:17:32.000Z

import pygame,sys import random import math from pygame.locals import * from pygame.sprite import Group import gF import Bullet import DADcharacter import Slave import global_var import Effect import Item import gameRule class titleStar(pygame.sprite.Sprite): def __init__(self): super(titleStar,self).__in...

42.727027

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15,809

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0.427439

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0.106936

0

null

0

null

0

1

0

d8c1279c1f035fd1c0ca93502531ba20b1cf610a

2,323

py

Python

app/product/tests/test_product_api.py

RamzeyXD/varanus-ecommerce-api

4688fc393b73d70a4923d471006caee2ec624f68

[ "MIT" ]

null

app/product/tests/test_product_api.py

RamzeyXD/varanus-ecommerce-api

4688fc393b73d70a4923d471006caee2ec624f68

[ "MIT" ]

5

2021-03-19T04:52:44.000Z

2021-09-22T19:12:07.000Z

app/product/tests/test_product_api.py

RamzeyXD/varanus-ecommerce-api

4688fc393b73d70a4923d471006caee2ec624f68

[ "MIT" ]

null

from django.contrib.auth import get_user_model from django.urls import reverse from django.test import TestCase from rest_framework import status from rest_framework.test import APIClient from core.models import Product from product.serializers import ProductSerializer PRODUCTS_URL = reverse('product:product-list'...

28.679012

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2,323

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0.007795

0.226862

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0.137255

0

0.352941

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null

0

null

0

1

0

d8c141a49a479e74699dc9b65661ce60383e9e67

4,686

py

Python

src/face_feature.py

ryota0051/facial_expressions

763f1108fc56f5360fbd6603e0dc3e40c27a3d1b

[ "MIT" ]

null

src/face_feature.py

ryota0051/facial_expressions

763f1108fc56f5360fbd6603e0dc3e40c27a3d1b

[ "MIT" ]

null

src/face_feature.py

ryota0051/facial_expressions

763f1108fc56f5360fbd6603e0dc3e40c27a3d1b

[ "MIT" ]

null

import os from typing import Dict, Tuple, List import json import time import tensorflow as tf import numpy as np from type_def import BOUNDARY_BOX_TYPE, PERSONAL_INFO_TYPE class FaceFeatureExtractor(): def __init__(self, base_model_path: str, nationality_model_path: str, label_path: str) -> None: '''必要な...

28.573171

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0

0.434783

0

null

0

null

0

1

0

d8c15c388c58bbae49aac02c97bdee96b885e94e

3,234

py

Python

app/main/routes.py

Tsolmon1/company

270d88e40e0c709247a7338cd41942b0ceb67c5e

[ "MIT" ]

null

app/main/routes.py

Tsolmon1/company

270d88e40e0c709247a7338cd41942b0ceb67c5e

[ "MIT" ]

null

app/main/routes.py

Tsolmon1/company

270d88e40e0c709247a7338cd41942b0ceb67c5e

[ "MIT" ]

null

from datetime import datetime from flask import render_template, flash, redirect, url_for, request, g, \ jsonify, current_app from flask_login import current_user, login_required from flask_babel import _, get_locale #from guess_language import guess_language from app import db from app.main.forms import CompanyFor...

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0.023518

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0.419567

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0.194732

0.11524

0.057385

0

0.002728

0.206555

3,234

101

142

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0.825799

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1

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0

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0.305085

0

null

0

null

0

1

0

d8c4609c13c1b5b024cb78f178101d21b07a60ae

31,034

py

Python

opentisim/containers/container_defaults.py

TUDelft-CITG/OpenTISim

443b20572eb2aae2f1909a8a01e95e31be53b675

[ "MIT" ]

7

2020-02-15T01:34:29.000Z

2022-02-28T01:24:05.000Z

opentisim/containers/container_defaults.py

TUDelft-CITG/OpenTISim

443b20572eb2aae2f1909a8a01e95e31be53b675

[ "MIT" ]

2

2020-02-14T18:44:31.000Z

2020-04-06T15:39:17.000Z

opentisim/containers/container_defaults.py

TUDelft-CITG/OpenTISim

443b20572eb2aae2f1909a8a01e95e31be53b675

[ "MIT" ]

2

2019-07-19T08:50:31.000Z

2020-02-05T11:14:07.000Z

""" Main generic object classes: - 1. Quay_wall - 2. Berth - 3. Cyclic_Unloader - STS crane - 4. Horizontal transport - Tractor trailer - 5. Commodity - TEU - 6. Containers - Laden - Reefer - Empty - OOG - 7. Laden and reefer stack - 8. Stack equipment - 9. Empty stack - 10. OOG stack - 11. ...

43.343575

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0.031448

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0.481403

0.442849

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31,034

715

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0.001704

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null

0

null

0

1

0

d8c9e071e19e41968b2a38fb82cb08379e2983f3

12,413

py

Python

pyoogle/preprocessing/crawl/crawler.py

DanDits/Pyoogle

f860dffb574f8629d3e894074450fdcb76547a03

[ "Apache-2.0" ]

null

pyoogle/preprocessing/crawl/crawler.py

DanDits/Pyoogle

f860dffb574f8629d3e894074450fdcb76547a03

[ "Apache-2.0" ]

null

pyoogle/preprocessing/crawl/crawler.py

DanDits/Pyoogle

f860dffb574f8629d3e894074450fdcb76547a03

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Feb 6 12:49:02 2016 @author: daniel """ import logging import threading # For main processing thread import urllib # For downloading websites import urllib.error import urllib.request from concurrent.futures import ThreadPoolExecutor # each downloads a website from http....

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0.234783

0

null

0

null

0

1

0

d8caaf44d7f053ff6f28f609749087b123ec4b34

2,965

py

Python

13.part2.py

elp2/advent_of_code_2018

0d359422dd04b0849481796005e97d05c30e9eb4

[ "Apache-2.0" ]

1

2021-12-02T15:19:36.000Z

13.part2.py

elp2/advent_of_code_2018

0d359422dd04b0849481796005e97d05c30e9eb4

[ "Apache-2.0" ]

null

13.part2.py

elp2/advent_of_code_2018

0d359422dd04b0849481796005e97d05c30e9eb4

[ "Apache-2.0" ]

null

from collections import defaultdict def return_default(): return 0 REAL=open("13.txt").readlines() SAMPLE=open("13.sample2").readlines() def parse_lines(lines): return list(map(list, lines)) CARTS = "^>v<" DIRS = [(0, -1), (1, 0), (0, 1), (-1, 0)] def cart_positions(start, facing, board): poses = [] ...

27.201835

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0.033175

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2,965

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78

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0.043956

0

null

0

null

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0

d8cb54d17428f4a861ab1eb4f8524561f2936c44

844

py

Python

docs/_downloads/485d1a22616717976d2f85cbaf046db3/plot__jitterdodge_position.py

IKupriyanov-HORIS/lets-plot-docs

30fd31cb03dc649a03518b0c9348639ebfe09d53

[ "MIT" ]

null

docs/_downloads/485d1a22616717976d2f85cbaf046db3/plot__jitterdodge_position.py

IKupriyanov-HORIS/lets-plot-docs

30fd31cb03dc649a03518b0c9348639ebfe09d53

[ "MIT" ]

null

docs/_downloads/485d1a22616717976d2f85cbaf046db3/plot__jitterdodge_position.py

IKupriyanov-HORIS/lets-plot-docs

30fd31cb03dc649a03518b0c9348639ebfe09d53

[ "MIT" ]

null

""" Jitterdodge Position ==================== Position adjustments determine how to arrange geoms that would otherwise occupy the same space. Simultaneously dodge and jitter in one function: ``position_jitterdodge()``. See `position_jitterdodge() <https://jetbrains.github.io/lets-plot-docs/pages...

27.225806

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null

0

null

0

1

0

d8ceaa47207dcd451d3a6b75d0d1b483e1ba9218

2,537

py

Python

mask_example/classification_vars.py

ami-a/MaskDetection

9df329a24a987e63331c17db154319b3ebcaad74

[ "MIT" ]

1

2021-04-09T09:08:33.000Z

mask_example/classification_vars.py

ami-a/MaskDetection

9df329a24a987e63331c17db154319b3ebcaad74

[ "MIT" ]

null

mask_example/classification_vars.py

ami-a/MaskDetection

9df329a24a987e63331c17db154319b3ebcaad74

[ "MIT" ]

null

"""loading the classification model variables for the detector object""" import numpy as np import cv2 from TrackEverything.tool_box import ClassificationVars def get_class_vars(class_model_path): """loading the classification model variables for the detector object We define here the model interpolation functi...

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0

0.023433

0.276705

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98

42.283333

0.870845

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1

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0

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0.318182

0

null

0

null

0

1

0

d8d26259abf1d70bfe1abffb2493230cee42b319

668

py

Python

detector/urls.py

SPIN-RD/data_analysis

b2ec9ca008781f3015ec3780a858de0dac4549b9

[ "MIT" ]

null

detector/urls.py

SPIN-RD/data_analysis

b2ec9ca008781f3015ec3780a858de0dac4549b9

[ "MIT" ]

null

detector/urls.py

SPIN-RD/data_analysis

b2ec9ca008781f3015ec3780a858de0dac4549b9

[ "MIT" ]

null

from django.urls import path from .views import ( MeasurementCreateView, MeasurementRetrieveView, energy_spectrum_analysis, half_life_analysis, index, ) urlpatterns = [ path("api/measurements/", MeasurementCreateView.as_view()), path( "api/measurements/<str:device_id>/<str:mode>", ...

23.857143

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0.4

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1

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false

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0.08

0

0.08

0

null

0

null

0

1

0

d8d586caec5e48f58983b527adfdcf89eb123054

6,604

py

Python

bin/pylint_runner.py

PickBas/meta-social

f6fb0a50c30e240086a75917b705dfdc71dbebf9

[ "MIT" ]

null

bin/pylint_runner.py

PickBas/meta-social

f6fb0a50c30e240086a75917b705dfdc71dbebf9

[ "MIT" ]

15

2020-06-07T07:58:05.000Z

2022-01-19T16:53:47.000Z

bin/pylint_runner.py

PickBas/meta-social

f6fb0a50c30e240086a75917b705dfdc71dbebf9

[ "MIT" ]

null

''' The MIT License (MIT) Copyright (c) 2015 Matthew Peveler Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, mer...

36.087432

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0.629164

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6,604

4.789786

0.30285

0.024795

0.016861

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0.062485

0.0243

0

0.003151

0.279073

6,604

182

140

36.285714

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false

0

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0.045872

0

null

0

null

0

1

0

d8d6b4d53e13b0fd18dcd2609163a130f5b31c93

1,311

py

Python

mysite/polls/migrations/0007_auto_20150314_0332.py

aaronkrolik/rule46

20d3e384768caced5b76f37e8fdefc2e9fb129d6

[ "Apache-2.0" ]

null

mysite/polls/migrations/0007_auto_20150314_0332.py

aaronkrolik/rule46

20d3e384768caced5b76f37e8fdefc2e9fb129d6

[ "Apache-2.0" ]

null

mysite/polls/migrations/0007_auto_20150314_0332.py

aaronkrolik/rule46

20d3e384768caced5b76f37e8fdefc2e9fb129d6

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('polls', '0006_auto_20150314_0320'), ] operations = [ migrations.CreateModel( name='Accolade', fields...

29.133333

114

0.536995

115

1,311

5.93913

0.495652

0.065886

0.052709

0.118594

0.338214

0.175695

0

0.030928

0.334096

1,311

44

115

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0.016018

0

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0

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0

1

0

false

0

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0

0.131579

0

null

0

null

0

1

0

d8d80406f757e14704187e04f0b5d07b32575e58

1,071

py

Python

core/objs/zona.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

null

core/objs/zona.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

null

core/objs/zona.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

2

2017-12-04T14:59:22.000Z

2018-12-06T18:50:29.000Z

# !/usr/bin/env python3 # -*- encoding: utf-8 -*- """ ERP+ """ __author__ = 'António Anacleto' __credits__ = [] __version__ = "1.0" __maintainer__ = "António Anacleto" __status__ = "Development" __model_name__ = 'zona.Zona' import auth, base_models from orm import * from form import * class Zona(Model, View): def ...

29.75

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0.605042

119

1,071

4.773109

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0.06338

0.045775

0

0.009804

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1,071

35

165

30.6

0.686275

0.047619

0

0.20099

0

1

0.037037

false

0

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0

0.185185

0

null

0

null

0

1

0

d8d85cecefde2c0134f937fbe84f1d254b9a273b

4,383

py

Python

biothings/hub/upgrade.py

sirloon/biothings.api

8a981fa2151e368d0ca76aaf226eb565d794d4fb

[ "Apache-2.0" ]

null

biothings/hub/upgrade.py

sirloon/biothings.api

8a981fa2151e368d0ca76aaf226eb565d794d4fb

[ "Apache-2.0" ]

null

biothings/hub/upgrade.py

sirloon/biothings.api

8a981fa2151e368d0ca76aaf226eb565d794d4fb

[ "Apache-2.0" ]

null

import sys from biothings.utils.hub_db import get_src_dump, get_data_plugin, get_hub_db_conn, backup, restore from biothings import config logging = config.logger def migrate_0dot1_to_0dot2(): """ mongodb src_dump/data_plugin changed: 1. "data_folder" and "release" under "download" 2. "data_fo...

44.72449

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null

0

null

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1

0

d8d8d4bab6bca93fe7ec5b879bc940d20a949497

22,052

py

Python

capirca/lib/gce.py

supertylerc/capirca

31235e964c9893f3f3432d84604fbaa727384047

[ "Apache-2.0" ]

null

capirca/lib/gce.py

supertylerc/capirca

31235e964c9893f3f3432d84604fbaa727384047

[ "Apache-2.0" ]

null

capirca/lib/gce.py

supertylerc/capirca

31235e964c9893f3f3432d84604fbaa727384047

[ "Apache-2.0" ]

null

# Copyright 2015 Google 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 required by applicable law or a...

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null

0

null

0

1

0

d8dab0f4aacf85ce7a8eb87b58a351fa764a3691

134,339

py

Python

myhabitatagent.py

karkuspeter/habitat-challenge

4b61be2b24b43d03246c94435febc691b6172ab6

[ "MIT" ]

null

myhabitatagent.py

karkuspeter/habitat-challenge

4b61be2b24b43d03246c94435febc691b6172ab6

[ "MIT" ]

null

myhabitatagent.py

karkuspeter/habitat-challenge

4b61be2b24b43d03246c94435febc691b6172ab6

[ "MIT" ]

null

import argparse import habitat import random import numpy as np import scipy import os import cv2 import time from habitat.tasks.nav.shortest_path_follower import ShortestPathFollower from habitat.utils.visualizations import maps from gibsonagents.expert import Expert from gibsonagents.pathplanners import Dstar_planner...

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0.545975

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0.328279

0.298354

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0.775732

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0.024155

0

null

0

null

0

1

0

d8db1da409aa926ae0d4a1dd1326712356ef588d

2,890

py

Python

examples/nightlight/nightlight.py

pimoroni/breakout-garden

15f6886a1d011363cc660df1a350fd23d6cf4b78

[ "MIT" ]

68

2018-08-20T21:45:01.000Z

2022-03-17T20:45:47.000Z

examples/nightlight/nightlight.py

pimoroni/breakout-garden

15f6886a1d011363cc660df1a350fd23d6cf4b78

[ "MIT" ]

24

2018-08-20T14:04:13.000Z

2022-03-09T12:26:24.000Z

examples/nightlight/nightlight.py

pimoroni/breakout-garden

15f6886a1d011363cc660df1a350fd23d6cf4b78

[ "MIT" ]

14

2018-08-25T13:33:49.000Z

2021-12-09T09:02:35.000Z

#!/usr/bin/env python3 import time from ltr559 import LTR559 from rgbmatrix5x5 import RGBMatrix5x5 print("""This Pimoroni Breakout Garden example requires an LTR-559 Light and Proximity Breakout and a 5x5 RGB Matrix Breakout. This example creates a little nightlight that can be toggled on or off by tapping the proxi...

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0.039548

0.036158

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0.167232

0.062147

0

0.041667

0.310727

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0.074627

0

null

0

null

0

1

0

d8de1a0557c16a820290ec65f2861645cf8269e4

6,595

py

Python

leaguedirector/sequence/sequenceTrackView.py

santutu/league-director

631ab416e31a0391ab207f9b657638c8e350a48c

[ "Apache-2.0" ]

null

leaguedirector/sequence/sequenceTrackView.py

santutu/league-director

631ab416e31a0391ab207f9b657638c8e350a48c

[ "Apache-2.0" ]

null

leaguedirector/sequence/sequenceTrackView.py

santutu/league-director

631ab416e31a0391ab207f9b657638c8e350a48c

[ "Apache-2.0" ]

null

import copy import statistics from operator import attrgetter from PySide2.QtCore import Signal, Qt, QEvent from PySide2.QtGui import QPen, QMouseEvent from PySide2.QtWidgets import QGraphicsView, QGraphicsScene, QAbstractScrollArea, QApplication, QGraphicsItem from leaguedirector.libs.memoryCache import MemoryCache ...

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0.186406

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0

null

0

null

0

1

0

d8de56f1954539d2d33e25fa9d9007b69553e370

23,746

py

Python

annealed_flow_transport/flows.py

LaudateCorpus1/annealed_flow_transport

28f348bb41e3acec5bc925355063d476f2e2aea2

[ "Apache-2.0" ]

23

2021-08-13T14:00:10.000Z

2022-02-15T12:44:20.000Z

annealed_flow_transport/flows.py

deepmind/annealed_flow_transport

28f348bb41e3acec5bc925355063d476f2e2aea2

[ "Apache-2.0" ]

1

2021-10-05T16:19:25.000Z

annealed_flow_transport/flows.py

LaudateCorpus1/annealed_flow_transport

28f348bb41e3acec5bc925355063d476f2e2aea2

[ "Apache-2.0" ]

4

2021-10-05T16:14:58.000Z

2022-01-03T15:17:36.000Z

# Copyright 2020 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...

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d8df2a64ed17e68830f228cf62337f3dea5df521

7,373

py

Python

2.ReinforcementLearning/CartPole/CartPole-PPO/cartpole_ppo.py

link-kut/deeplink_public

688c379bfeb63156e865d78d0428f97d7d203cc1

[ "MIT" ]

null

2.ReinforcementLearning/CartPole/CartPole-PPO/cartpole_ppo.py

link-kut/deeplink_public

688c379bfeb63156e865d78d0428f97d7d203cc1

[ "MIT" ]

11

2020-01-28T22:33:49.000Z

2022-03-11T23:41:08.000Z

2.ReinforcementLearning/CartPole/CartPole-PPO/cartpole_ppo.py

link-kut/deeplink_public

688c379bfeb63156e865d78d0428f97d7d203cc1

[ "MIT" ]

2

2019-06-01T04:14:52.000Z

2020-05-31T08:13:23.000Z

# Initial framework taken from https://github.com/OctThe16th/PPO-Keras/blob/master/Main.py import numpy as np import gym from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Dense from tensorflow.keras import backend as K from tensorflow.keras.optimizers import Adam import tensorflow as...

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0

null

0

null

0

1

0

d8df48a2c6778c32363c444430a9dcd1859230a7

8,721

py

Python

models/san_lowrank.py

LegionChang/CoTNet

b1bc456c0b13b282b807d1082a1598b71014b4fe

[ "Apache-2.0" ]

360

2021-07-26T07:23:29.000Z

2022-03-16T03:03:25.000Z

python_developer_tools/cv/bases/conv/CoTNet/CoTNet-master/models/san_lowrank.py

HonestyBrave/python_developer_tools

fc0dcf5c4ef088e2e535206dc82f09bbfd01f280

[ "Apache-2.0" ]

22

2021-07-29T15:05:00.000Z

2022-03-17T04:28:14.000Z

python_developer_tools/cv/bases/conv/CoTNet/CoTNet-master/models/san_lowrank.py

HonestyBrave/python_developer_tools

fc0dcf5c4ef088e2e535206dc82f09bbfd01f280

[ "Apache-2.0" ]

47

2021-07-27T02:14:21.000Z

2022-02-25T09:15:12.000Z

import math import numpy as np import torch from torch import nn as nn from config import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD from .helpers import build_model_with_cfg from .layers import SelectiveKernelConv, ConvBnAct, create_attn from .registry import register_model from .resnet import ResNet from .layers im...

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0.235669

0

null

0

null

0

1

0

d8e1107cf7ccb8c88d2d79f53d1ffccc5940049b

1,262

py

Python

qa/admin.py

thebenwaters/openclickio

c5e08d89b37c5f415810dca088803dba25af5e1a

[ "MIT" ]

null

qa/admin.py

thebenwaters/openclickio

c5e08d89b37c5f415810dca088803dba25af5e1a

[ "MIT" ]

1

2017-10-21T19:29:18.000Z

qa/admin.py

thebenwaters/openclickio

c5e08d89b37c5f415810dca088803dba25af5e1a

[ "MIT" ]

null

from django.contrib import admin from .models import Answer, AnswerOption, AnswerInstance, Question,\ OpenEndedResponse, ClosedEndedQuestion # Register your models here. @admin.register(AnswerOption) class AnswerOptionAdmin(admin.ModelAdmin): list_display = ('id', 'text') @admin.register(Answer) class AnswerAdmin(a...

29.348837

88

0.759113

142

1,262

6.65493

0.359155

0.068783

0.100529

0.137566

0.275132

0.245503

0.171429

0.093122

0

0.108558

1,262

43

89

29.348837

0.84

0.020602

0

0.129032

0

0.098785

0

1

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0

0.064516

0

0.612903

0

null

0

null

0

1

0

d8e180bf8b4b157c9e27b0c8c553c612b8e2d1ec

6,212

py

Python

Bot/Cogs/jisho.py

No767/Rin-Bot

b4c64e0ebccc9465100006ec2cb023eecb425570

[ "Apache-2.0" ]

null

Bot/Cogs/jisho.py

No767/Rin-Bot

b4c64e0ebccc9465100006ec2cb023eecb425570

[ "Apache-2.0" ]

null

Bot/Cogs/jisho.py

No767/Rin-Bot

b4c64e0ebccc9465100006ec2cb023eecb425570

[ "Apache-2.0" ]

null

import re import discord import requests import ujson from discord.ext import commands from dotenv import load_dotenv from jamdict import Jamdict load_dotenv() jam = Jamdict() # Use Array Loop Instead def kanjiv2(search): res = jam.lookup(search.replace("\n", " ")) for c in res.chars: return str(c)...

33.042553

195

0.56246

732

6,212

4.702186

0.209016

0.085415

0.067112

0.034863

0.556944

0.531958

0.438408

0.377978

0.311737

0

0.010327

0.251771

6,212

187

196

33.219251

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0.012878

0

0.386667

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0.040463

0

1

0.1

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0

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0

0.233333

0

null

0

null

0

1

0

d8e67ae78b6e8735abac8eb28c78858b399f444d

1,207

py

Python

scripts/executor_action.py

rezhajulio/azkaban

974e2e45f4e2f1cd14a3e160f9326aa067b606c2

[ "Apache-2.0" ]

3

2019-12-19T00:04:36.000Z

2020-05-07T02:54:56.000Z

scripts/executor_action.py

rezhajulio/azkaban

974e2e45f4e2f1cd14a3e160f9326aa067b606c2

[ "Apache-2.0" ]

null

scripts/executor_action.py

rezhajulio/azkaban

974e2e45f4e2f1cd14a3e160f9326aa067b606c2

[ "Apache-2.0" ]

3

2018-03-15T04:54:50.000Z

2019-07-15T06:33:58.000Z

#!/usr/bin/python3 import requests import sys import time from wait_for_port_ready import wait_for_port_ready import traceback import json action = sys.argv[1] assert action in ('activate', 'deactivate', 'getStatus', 'shutdown') url = 'http://localhost:12321/executor?action={action}'.format(action=action) if actio...

24.632653

77

0.591549

145

1,207

4.827586

0.462069

0.03

0.047143

0.068571

0.254286

0.191429

0.122857

0

0.029308

0.293289

1,207

48

78

25.145833

0.791325

0.014085

0

0.114286

0

0.163162

0

0.085714

1

0

false

0

0.171429

0

0.171429

0.114286

0

null

0

null

0

1

0

d8e8a2245da2f5f3c3aaee9fd554b9ee96a551e9

22,494

py

Python

axonius_api_client/http.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

axonius_api_client/http.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

axonius_api_client/http.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """HTTP client.""" import logging import warnings from urllib.parse import urlparse, urlunparse import requests from .constants import ( LOG_LEVEL_HTTP, MAX_BODY_LEN, REQUEST_ATTR_MAP, RESPONSE_ATTR_MAP, TIMEOUT_CONNECT, TIMEOUT_RESPONSE, ) from .exceptions import HttpE...

35.479495

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0.563973

2,584

22,494

4.744582

0.117647

0.017618

0.020147

0.013703

0.38385

0.296982

0.24739

0.179038

0.143638

0.129201

0

0.001963

0.32053

22,494

633

89

35.535545

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0

1

0.088968

false

0.007117

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0.202847

0

null

0

null

0

1

0

d8edf7cbcf7cedddc71ad9cf461c4f588b745f8c

427

py

Python

tests/test.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

tests/test.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

tests/test.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

from fpdf import FPDF import os pdf = FPDF() pdf.add_page() #pdf.add_font('CMUSerif-UprightItalic', fname=os.path.abspath('./src/Fonts/Computer Modern/cmunui.ttf'), uni=True) #pdf.set_font('CMUSerif-UprightItalic', size=16) pdf.add_font('BerlinSansFB-Bold', fname='C:\\Windows\\Fonts\\VINERITC.TTF', uni=True) pdf.set_f...

35.583333

114

0.735363

69

427

4.478261

0.608696

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0.064725

0.084142

0.12945

0

0.015152

0.0726

427

11

115

38.818182

0.765152

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0

0.422642

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0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

d8f564b8365eed4a07a4dd31237eb8da98838a5f

3,064

py

Python

docs/talks/xdc2016/compare_cairo.py

juhapekka/ezbench_work

ac0cb9ccbc205746d4790a9e33e598fbd5732741

[ "BSD-3-Clause" ]

3

2019-06-25T16:49:25.000Z

2021-04-30T06:36:54.000Z

docs/talks/xdc2016/compare_cairo.py

juhapekka/ezbench_work

ac0cb9ccbc205746d4790a9e33e598fbd5732741

[ "BSD-3-Clause" ]

4

2019-12-10T00:50:49.000Z

2022-03-10T06:18:42.000Z

docs/talks/xdc2016/compare_cairo.py

juhapekka/ezbench_work

ac0cb9ccbc205746d4790a9e33e598fbd5732741

[ "BSD-3-Clause" ]

1

2021-04-30T06:36:36.000Z

#!/usr/bin/env python3 """ Copyright (c) 2015, Intel Corporation Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions an...

41.972603

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0.72748

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0.165213

0.133089

0

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0

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0.1

0

null

0

null

0

1

0

d8f89ca57ebf1d8154f7f2629edeea9594a44b41

9,541

py

Python

generator/blocks/write_back/base/memory_block_base.py

biarmic/OpenCache

bb9e110e434deb83900de328cc76b63901ba582f

[ "BSD-3-Clause" ]

null

generator/blocks/write_back/base/memory_block_base.py

biarmic/OpenCache

bb9e110e434deb83900de328cc76b63901ba582f

[ "BSD-3-Clause" ]

null

generator/blocks/write_back/base/memory_block_base.py

biarmic/OpenCache

bb9e110e434deb83900de328cc76b63901ba582f

[ "BSD-3-Clause" ]

null

# See LICENSE for licensing information. # # Copyright (c) 2021 Regents of the University of California and The Board # of Regents for the Oklahoma Agricultural and Mechanical College # (acting for and on behalf of Oklahoma State University) # All rights reserved. # from block_base import block_base from amaranth impor...

42.977477

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null

0

null

0

1

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d8fb835e064c6068c174aaab9d60c797f66b3c26

319

py

Python

combinatorics/p11069.py

sajjadt/competitive-programming

fb0844afba95383441f0c4c0c3b1a38078d24ec9

[ "MIT" ]

10

2019-03-29T08:37:10.000Z

2021-12-29T14:06:57.000Z

combinatorics/p11069.py

sajjadt/competitive-programming

fb0844afba95383441f0c4c0c3b1a38078d24ec9

[ "MIT" ]

1

2020-07-03T08:25:38.000Z

combinatorics/p11069.py

sajjadt/competitive-programming

fb0844afba95383441f0c4c0c3b1a38078d24ec9

[ "MIT" ]

4

2019-05-30T16:04:48.000Z

2020-10-22T21:42:25.000Z

# f(n) = number of valid sequencess with n items # f(n) = {"attaching n to"} f(n-2) + {"attaching n-1 to "} f(n-3) LIMIT = 76 + 1 f_table = [0, 1, 2, 2] for i in range(LIMIT): f_table.append(f_table[-2] + f_table[-3]) while True: try: n = int(input()) print(f_table[n]) except(EOFError): break

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d8fee123a93215beee41ff7185b11c6c92c2b7c1

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py

Python

aita/api/course.py

ze-lin/AITA

0f2fe4e630c37fcc566a54621880b78ec67eefa6

[ "MIT" ]

null

aita/api/course.py

ze-lin/AITA

0f2fe4e630c37fcc566a54621880b78ec67eefa6

[ "MIT" ]

null

aita/api/course.py

ze-lin/AITA

0f2fe4e630c37fcc566a54621880b78ec67eefa6

[ "MIT" ]

1

2020-12-29T19:45:28.000Z

import datetime, time, os from flask import Blueprint, jsonify, request, g from aita.auth import login_required from aita.db import get_collection from werkzeug.utils import secure_filename bp = Blueprint('course', __name__, url_prefix='/course') @bp.route('/getall', methods=['GET']) def get_all_course(): COURS...

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0.185897

0

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0

null

0

null

0

1

0

2b078da4ba018d0ed23b38cf26025965f628a808

3,658

py

Python

main.py

AuroraBTH/minecraft-modpack-randomizer

797fb6a438a3365da69fbcbc22d856668a90ed27

[ "MIT" ]

null

main.py

AuroraBTH/minecraft-modpack-randomizer

797fb6a438a3365da69fbcbc22d856668a90ed27

[ "MIT" ]

null

main.py

AuroraBTH/minecraft-modpack-randomizer

797fb6a438a3365da69fbcbc22d856668a90ed27

[ "MIT" ]

null

from bs4 import BeautifulSoup from requests import get import json def get_amount_of_pages(minecraft_version): initial_site_response = get("https://www.curseforge.com/minecraft/mc-mods?filter-game-version=" + minecraft_version + "&filter-sort=5&") soup = BeautifulSoup(initial_site_response.text, "html....

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null

0

null

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1

0

2b09394715e3c0dcf590faefc51ab0a74f18287b

540

py

Python

product/views/brand_details.py

Rafeen/Inventory-Management-and-POS

c6b93fd83e76d8cdee1bdbe1042a29b23bfc36ac

[ "MIT" ]

null

product/views/brand_details.py

Rafeen/Inventory-Management-and-POS

c6b93fd83e76d8cdee1bdbe1042a29b23bfc36ac

[ "MIT" ]

10

2019-07-03T21:28:41.000Z

2022-01-13T01:13:35.000Z

product/views/brand_details.py

Rafeen/Inventory-Management-and-POS

c6b93fd83e76d8cdee1bdbe1042a29b23bfc36ac

[ "MIT" ]

null

from django.shortcuts import render, redirect, get_object_or_404 from product.models.brand_model import Brand from django.contrib.auth.decorators import login_required @login_required(login_url='/login/') def brand_detail_view(request, id): """ This view renders User Detail page with a details of selecte...

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0

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null

0

null

0

1

0

2b0a6f1bbc8afafe4db77b3247308ff00dd67a64

1,264

py

Python

1-100q/40.py

rampup01/Leetcode

8450a95a966ef83b24ffe6450f06ce8de92b3efb

[ "MIT" ]

990

2018-06-05T11:49:22.000Z

2022-03-31T08:59:17.000Z

1-100q/40.py

rampup01/Leetcode

8450a95a966ef83b24ffe6450f06ce8de92b3efb

[ "MIT" ]

1

2021-11-01T01:29:38.000Z

1-100q/40.py

rampup01/Leetcode

8450a95a966ef83b24ffe6450f06ce8de92b3efb

[ "MIT" ]

482

2018-06-12T22:16:53.000Z

2022-03-29T00:23:29.000Z

''' Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target. Each number in candidates may only be used once in the combination. Note: All numbers (including target) will be positive integers. The so...

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0

null

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1

0

2b0caaaf1b41e4b4941d55d16c265dd9df819b1f

8,651

py

Python

src/clustar_project/clustarray.py

jz5jx/Test_Repo

8796f45021943984ed02232fd34ff02e17123d71

[ "MIT" ]

1

2021-04-24T21:52:53.000Z

src/clustar_project/clustarray.py

jz5jx/Test_Repo

8796f45021943984ed02232fd34ff02e17123d71

[ "MIT" ]

null

src/clustar_project/clustarray.py

jz5jx/Test_Repo

8796f45021943984ed02232fd34ff02e17123d71

[ "MIT" ]

null

import warnings import numpy as np import itertools class ClustArray: ''' Class for working with data from FITS images Initialized from a numpy array from an image Methods for denoising images ''' def __init__(self, np_array): self.im_array = np_array self.noise_est = None ...

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null

0

null

0

1

0

2b0d1ad6e91ffdcea74efa0272a18d860ad0c2ae

7,151

py

Python

rpa_logger/task.py

kangasta/rpa_logger

63fb9d2472cc8039b6d794c5a09f4fbb77f5ac23

[ "MIT" ]

null

rpa_logger/task.py

kangasta/rpa_logger

63fb9d2472cc8039b6d794c5a09f4fbb77f5ac23

[ "MIT" ]

null

rpa_logger/task.py

kangasta/rpa_logger

63fb9d2472cc8039b6d794c5a09f4fbb77f5ac23

[ "MIT" ]

null

'''Constants and helpers for describing RPA tasks and their status. ''' from collections import Counter from dataclasses import dataclass from typing import Any, Dict, Hashable, List, Union from uuid import uuid4 from .utils import timestamp from .utils.output import OutputText STARTED = 'STARTED' SUCCESS = 'SUCCESS'...

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2b0d8b35ff7e943b202f21481e50e5769f2ff2f4

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py

Python

src/graph_construction.py

chrisdxie/rice

c3e42822226af9ac28d95d434cd582386122b679

[ "MIT" ]

16

2021-07-01T16:18:26.000Z

2022-02-21T05:19:39.000Z

src/graph_construction.py

chrisdxie/rice

c3e42822226af9ac28d95d434cd582386122b679

[ "MIT" ]

1

2022-02-22T22:46:37.000Z

src/graph_construction.py

chrisdxie/rice

c3e42822226af9ac28d95d434cd582386122b679

[ "MIT" ]

1

2021-11-08T19:52:40.000Z

import sys, os import numpy as np import cv2 import torch import torch.nn.functional as F from torch_geometric.data import Data, Batch import torchvision.transforms as transforms from . import constants from .util import utilities as util_ def get_resnet50_fpn_model(pretrained=True, trainable_layer_names=[]): "...

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13,760

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0.098793

0.066272

0

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0

0.170103

0

null

0

null

0

1

0

2b12bcc09d43893147348ccc3696625e690b010c

3,817

py

Python

src/views/botones/informacion/boton_informacion.py

julianVelandia/UI_RETEDECON

87b707f5c1553446fc92265db9da50f292e2f2d1

[ "MIT" ]

3

2022-02-27T02:15:52.000Z

2022-02-28T15:16:40.000Z

src/views/botones/informacion/boton_informacion.py

julianVelandia/UI_RETEDECON

87b707f5c1553446fc92265db9da50f292e2f2d1

[ "MIT" ]

null

src/views/botones/informacion/boton_informacion.py

julianVelandia/UI_RETEDECON

87b707f5c1553446fc92265db9da50f292e2f2d1

[ "MIT" ]

null

from PyQt5.QtWidgets import * from PyQt5.QtCore import * from PyQt5.QtGui import * #locals from .funciones_informacion import Funcion_informacion from src.views.botones.inicio.funciones import * class Boton_informacion(Funcion_informacion): def boton_informacion_manual(self, widget): self.informacion_manu...

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0.164626

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null

0

null

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1

0

2b13c9bdd22e18cff242d5292bbf3eb9e6c0efa1

263

py

Python

1030 Brick Layout.py

ansabgillani/binarysearchcomproblems

12fe8632f8cbb5058c91a55bae53afa813a3247e

[ "MIT" ]

null

1030 Brick Layout.py

ansabgillani/binarysearchcomproblems

12fe8632f8cbb5058c91a55bae53afa813a3247e

[ "MIT" ]

null

1030 Brick Layout.py

ansabgillani/binarysearchcomproblems

12fe8632f8cbb5058c91a55bae53afa813a3247e

[ "MIT" ]

null

class Solution: def solve(self, bricks, width, height): dp = [0]*(width+1) dp[0] = 1 for i in range(len(dp)): for brick in bricks: dp[i] += dp[i-brick] if i-brick >= 0 else 0 return dp[-1]**height

23.909091

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263

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0

1

0.125

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0

0.375

0

null

0

null

0

1

0

2b15e166bdadb8379f269e4e1a5eb613b13e1d82

3,173

py

Python

src/feature_creation.py

aswain571/m5_forecasting

3b7fccd56a4c14c38bbcff6b11f82cd440132730

[ "MIT" ]

null

src/feature_creation.py

aswain571/m5_forecasting

3b7fccd56a4c14c38bbcff6b11f82cd440132730

[ "MIT" ]

null

src/feature_creation.py

aswain571/m5_forecasting

3b7fccd56a4c14c38bbcff6b11f82cd440132730

[ "MIT" ]

null

import pandas as pd import numpy as np import pickle from preprocess import process_ds from sklearn.preprocessing import LabelEncoder def transform_cat_feats(df): """makes null columns into unknown and cat columns are label encoded Args: df (pd.DataFrame): Dataframe with the sales data. Returns: ...

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0.211076

0.163009

0

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0.196721

0.016393

0

null

0

null

0

1

0

2b178eeae032ec25548f56cb6c96df9b289d22b5

6,545

py

Python

cosmosis/output/fits_output.py

annis/cosmosis

55efc1bc2260ca39298c584ae809fa2a8e72a38e

[ "BSD-2-Clause" ]

2

2021-06-18T14:11:59.000Z

2022-02-23T19:19:36.000Z

cosmosis/output/fits_output.py

annis/cosmosis

55efc1bc2260ca39298c584ae809fa2a8e72a38e

[ "BSD-2-Clause" ]

2

2021-11-02T12:44:24.000Z

2022-03-30T15:09:48.000Z

cosmosis/output/fits_output.py

annis/cosmosis

55efc1bc2260ca39298c584ae809fa2a8e72a38e

[ "BSD-2-Clause" ]

2

2022-03-25T21:26:27.000Z

2022-03-29T06:37:46.000Z

from .output_base import OutputBase from . import utils import numpy as np import os from glob import glob from collections import OrderedDict try: import fitsio except ImportError: fitsio = None comment_indicator = "_cosmosis_comment_indicator_" final_metadata_indicator = "FINALMETA" unreserve_indicator = "UN...

33.055556

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0.195946

0.006757

0

null

0

null

0

1

0

2b1c1953cad2c24ae38087460d540f5ab88ef710

278

py

Python

app.py

M3nin0/selectToTex

423cfdafdd0bd391c30cbbf70386f74e93844c2f

[ "BSD-2-Clause" ]

4

2018-06-06T15:35:51.000Z

2020-01-19T15:47:23.000Z

app.py

M3nin0/selectToTex

423cfdafdd0bd391c30cbbf70386f74e93844c2f

[ "BSD-2-Clause" ]

null

app.py

M3nin0/selectToTex

423cfdafdd0bd391c30cbbf70386f74e93844c2f

[ "BSD-2-Clause" ]

null

from selecttotex.totex import Totex # Criando instância do SelectToTex tt = Totex() # Comandos que serão utilizados commands = ['SELECT * FROM aluno;', 'SELECT * FROM materia;', 'SELECT * FROM matricula;'] # Chama a função para a conversão tt.to_tex(commands, 'tabelas.txt')

25.272727

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null

0

null

0

1

0

2b1da2d3ed1a52018f6ec06f4c582bd00a0d9184

6,682

py

Python

python/vtool/maya_lib/ui.py

louisVottero/vtool

4e2592df5841829e790251dc6923e45c8d013091

[ "MIT" ]

3

2022-02-22T01:00:59.000Z

2022-03-07T16:19:27.000Z

python/vtool/maya_lib/ui.py

louisVottero/vtool

4e2592df5841829e790251dc6923e45c8d013091

[ "MIT" ]

4

2022-03-04T05:25:44.000Z

2022-03-11T04:51:35.000Z

python/vtool/maya_lib/ui.py

louisVottero/vtool

4e2592df5841829e790251dc6923e45c8d013091

[ "MIT" ]

1

2022-03-31T23:07:09.000Z

# Copyright (C) 2022 Louis Vottero louis.vot@gmail.com All rights reserved. from __future__ import absolute_import import maya.cmds as cmds import maya.utils import maya.mel as mel from maya.app.general.mayaMixin import MayaQWidgetBaseMixin, MayaQWidgetDockableMixin from maya import OpenMayaUI as omui ...

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0.333333

0

null

0

null

0

1

0

2b1e286ea315966366a86b5a9f5142b3ebdb896b

4,748

py

Python

xtbservice/models.py

cheminfo-py/xtbservice

d9227ea9e4647fe302cc3c1e9d57838fff938cd4

[ "MIT" ]

2

2022-01-28T02:59:28.000Z

2022-01-31T15:47:30.000Z

xtbservice/models.py

cheminfo-py/xtbservice

d9227ea9e4647fe302cc3c1e9d57838fff938cd4

[ "MIT" ]

17

2021-09-13T12:26:57.000Z

2022-01-31T22:35:49.000Z

xtbservice/models.py

cheminfo-py/xtbservice

d9227ea9e4647fe302cc3c1e9d57838fff938cd4

[ "MIT" ]

1

2022-01-26T08:17:50.000Z

# -*- coding: utf-8 -*- from dataclasses import dataclass from typing import Dict, List, Optional import numpy as np from ase import Atoms from pydantic import BaseModel, Field, validator ALLOWED_METHODS = ("GFNFF", "GFN2xTB", "GFN1xTB") ALLOWED_FF = ("uff", "mmff94", "mmff94s") @dataclass class OptimizationResult:...

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null

0

null

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1

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2b219b5d2c6acf165fc3fb183df871cbdfc2a9e9

3,068

py

Python

Aprior.py

zhangmingming-chb/Aprior

69bea22f34d20bdc9984faf1fa021fac6e60ef38

[ "MIT" ]

null

Aprior.py

zhangmingming-chb/Aprior

69bea22f34d20bdc9984faf1fa021fac6e60ef38

[ "MIT" ]

null

Aprior.py

zhangmingming-chb/Aprior

69bea22f34d20bdc9984faf1fa021fac6e60ef38

[ "MIT" ]

null

#-*-coding:utf-8-*- from typing import List from itertools import chain class Aprior(): def __init__(self, support, confidence): self.support = support self.confidence = confidence def set_transactions(self, transactions: List[List[str]]) -> None: self.transactions = transactions ...

29.5

81

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3.872063

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0.047202

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0.030344

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103

82

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0

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1

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0

0.027778

0.222222

0.013889

0

null

0

null

0

1

0

2b23c62c9bf29b77cf256e932af29e6d9da15c7b

686

py

Python

dlex/tf/models/base_v2.py

dvtrung/dl-torch

b49e57d10d32bb223e2d7643f2579ccc32c63a9a

[ "MIT" ]

null

dlex/tf/models/base_v2.py

dvtrung/dl-torch

b49e57d10d32bb223e2d7643f2579ccc32c63a9a

[ "MIT" ]

null

dlex/tf/models/base_v2.py

dvtrung/dl-torch

b49e57d10d32bb223e2d7643f2579ccc32c63a9a

[ "MIT" ]

null

import tensorflow as tf from dlex import Params from dlex.datasets.tf import Dataset class BaseModel(tf.keras.Model): def __init__(self, params: Params, dataset: Dataset): super().__init__() self.params = params self.dataset = dataset self._optimizer = None self....

25.407407

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0.603499

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686

5.302632

0.421053

0.039702

0.069479

0.099256

0

0.006342

0.310496

686

27

59

25.407407

0.845666

0

0.090909

0

1

0.181818

false

0

0.136364

0.045455

0.454545

0

null

0

null

0

1

0

2b2476addfb055d48f5d5ac598a8041fdc9fee29

1,259

py

Python

pi/commands/token/reset.py

pan-net-security/pi-bundle

1819caede77357331465216e0355eb2499d09cb4

[ "MIT" ]

2

2017-12-15T20:50:58.000Z

2020-10-21T15:48:48.000Z

pi/commands/token/reset.py

pan-net-security/pi-bundle

1819caede77357331465216e0355eb2499d09cb4

[ "MIT" ]

1

2017-10-26T09:28:30.000Z

2017-10-26T10:33:41.000Z

pi/commands/token/reset.py

pan-net-security/pi-bundle

1819caede77357331465216e0355eb2499d09cb4

[ "MIT" ]

null

from pi.commands.token.base import TokenBase import json import re class Reset(TokenBase): def __init__(self): super().__init__() def run(self): handler = self.parse_subcommand_ handler() def reset(self): results = [] # currently supporting just one argument ...

26.787234

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5.076389

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0.002286

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1,259

47

85

26.787234

0.833143

0.17077

0

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1

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false

0.034483

0.103448

0

0.310345

0

null

0

null

0

1

0

2b25709c41a264855b79fbdf3a37d395af6fdc3b

4,500

py

Python

canaries/canaries.py

wyatt-howe/canaries

0bd0783e388dcee21fd3addd09a9299940627536

[ "MIT" ]

null

canaries/canaries.py

wyatt-howe/canaries

0bd0783e388dcee21fd3addd09a9299940627536

[ "MIT" ]

null

canaries/canaries.py

wyatt-howe/canaries

0bd0783e388dcee21fd3addd09a9299940627536

[ "MIT" ]

null

"""Library for loading dynamic library files. Python library for choosing and loading dynamic library files compatible with the operating environment. """ import doctest import sys import os.path import platform from ctypes import cdll, create_string_buffer from multiprocessing import Pool class canaries(): """ ...

29.220779

79

0.543778

496

4,500

4.866935

0.340726

0.024855

0.02237

0.021127

0.110605

0.083679

0

0.002829

0.371556

4,500

153

80

29.411765

0.850778

0.241778

0

0.255556

0

0.042373

0

1

0.077778

false

0

0.077778

0

0.233333

0

null

0

null

0

1

0

2b28b58e2579cbe5e2ab26c5528edcabd5571c91

1,074

py

Python

docs/end-to-end/library/GeocontribOnCoordinatesLibrary.py

hcharp/geocontrib

87ee241c737aae23eff358d2550bddba714f9c7b

[ "Apache-2.0" ]

3

2020-12-02T09:44:41.000Z

2021-04-17T13:05:30.000Z

docs/end-to-end/library/GeocontribOnCoordinatesLibrary.py

hcharp/geocontrib

87ee241c737aae23eff358d2550bddba714f9c7b

[ "Apache-2.0" ]

14

2020-01-27T09:49:33.000Z

2021-06-14T08:04:10.000Z

docs/end-to-end/library/GeocontribOnCoordinatesLibrary.py

hcharp/geocontrib

87ee241c737aae23eff358d2550bddba714f9c7b

[ "Apache-2.0" ]

9

2020-01-16T12:37:39.000Z

2021-04-22T09:57:59.000Z

# Copyright (c) 2017-2021 Neogeo-Technologies. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...

42.96

113

0.76257

168

1,074

4.732143

0.630952

0.075472

0.032704

0.040252

0.067925

0

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0.133147

1,074

24

114

44.75

0.837809

0.546555

0

0.142857

0.182203

0

1

0.142857

false

0

0.285714

0

0.428571

0

null

0

null

0

1

0

2b2938cdd0a73902522794999f575e5ff3fb8b89

3,341

py

Python

torch/quantization/fx/qconfig_utils.py

deltabravozulu/pytorch

c6eef589971e45bbedacc7f65533d1b8f80a6895

[ "Intel" ]

1

2021-06-17T13:02:45.000Z

torch/quantization/fx/qconfig_utils.py

deltabravozulu/pytorch

c6eef589971e45bbedacc7f65533d1b8f80a6895

[ "Intel" ]

1

2022-01-18T12:17:29.000Z

torch/quantization/fx/qconfig_utils.py

deltabravozulu/pytorch

c6eef589971e45bbedacc7f65533d1b8f80a6895

[ "Intel" ]

2

2021-07-02T10:18:21.000Z

2021-08-18T10:10:28.000Z

import torch from collections import OrderedDict from typing import Union, Callable, Any, Dict import re from .utils import _parent_name QConfigAny = Union[torch.quantization.QConfig, torch.quantization.QConfigDynamic, None] def get_flattened_qconfig_dict(qconfig_dict): """ flatten the global,...

33.41

81

0.701287

427

3,341

5.128806

0.192037

0.141553

0.057534

0.067123

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0.210959

0.130594

0.116895

0.042009

0

0.001148

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3,341

99

82

33.747475

0.836649

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0

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0

1

0.150943

false

0

0.09434

0.018868

0.415094

0

null

0

null

0

1

0

2b2a9c9a4b580fa5f2d5bbe38b2d93f37f8e19c1

3,062

py

Python

researchmap/wrapper.py

RTa-technology/researchmap.py

6aa427e1564644b20ba2001dfecf63457ef40463

[ "MIT" ]

null

researchmap/wrapper.py

RTa-technology/researchmap.py

6aa427e1564644b20ba2001dfecf63457ef40463

[ "MIT" ]

null

researchmap/wrapper.py

RTa-technology/researchmap.py

6aa427e1564644b20ba2001dfecf63457ef40463

[ "MIT" ]

null

from typing import List import urllib.parse from .adapter import Adapter __all__ = ['Wrapper'] class Wrapper: """Wrapper class for the Adapter class. This class is used to wrap the Adapter class and provide a more convenient interface for the user. """ def __init__(self, adapter: Adapter)...

26.17094

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0.612998

387

3,062

4.726098

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0.045927

0.039366

0.06561

0.588846

0.562603

0.551668

0.49754

0

0.000448

0.270738

3,062

116

96

26.396552

0.81863

0.423253

0

0.153846

0

0.023125

0

1

0.179487

false

0

0.076923

0.025641

0.435897

0.102564

0

null

0

null

0

1

0

2b2dc91a67e56678c390a41ec58ff7af3ed3237a

2,888

py

Python

demo/MagicMind/python/calibrator_custom_data.py

huismiling/YOLOX

d9d1c1e8c6362c71703d34e25765a2dfe8618e4a

[ "Apache-2.0" ]

null

demo/MagicMind/python/calibrator_custom_data.py

huismiling/YOLOX

d9d1c1e8c6362c71703d34e25765a2dfe8618e4a

[ "Apache-2.0" ]

null

demo/MagicMind/python/calibrator_custom_data.py

huismiling/YOLOX

d9d1c1e8c6362c71703d34e25765a2dfe8618e4a

[ "Apache-2.0" ]

null

from typing import List import cv2 import numpy import magicmind.python.runtime as mm from magicmind.python.common.types import get_numpy_dtype_by_datatype import os import sys def preprocess(img, input_size, swap=(2, 0, 1)): if len(img.shape) == 3: padded_img = numpy.ones((input_size[0], input_size[1], ...

35.219512

132

0.655125

400

2,888

4.465

0.28

0.040314

0.050392

0.06439

0.182531

0.113102

0.050392

0

0.017671

0.235803

2,888

81

133

35.654321

0.791572

0.020429

0

0.096774

0

0.003891

0

1

0.129032

false

0

0.112903

0.048387

0.387097

0

null

0

null

0

1

0

2b2eb592acc995c4132c3288aeaefe49afa5e490

66,478

py

Python

probreg/main.py

albertvisser/probreg

5f685616221e3261afe0d8ae8506cad9a719fa82

[ "MIT" ]

null

probreg/main.py

albertvisser/probreg

5f685616221e3261afe0d8ae8506cad9a719fa82

[ "MIT" ]

null

probreg/main.py

albertvisser/probreg

5f685616221e3261afe0d8ae8506cad9a719fa82

[ "MIT" ]

null

#! usr/bin/env python """Actie (was: problemen) Registratie, GUI toolkit onafhankelijke code """ import os # import sys import pathlib import functools import probreg.gui as gui import probreg.shared as shared # import DataError, et_projnames import probreg.dml_django as dmls import probreg.dml_xml as dmlx LIN = True...

45.346521

101

0.55295

7,727

66,478

4.651352

0.116863

0.068167

0.047077

0.018697

0.468128

0.38118

0.320804

0.259036

0.218664

0.186945

0

0.007514

0.335344

66,478

1,465

102

45.377474

0.805907

0.123665

0

0.307882

0

0.12979

0.002902

0

1

0.067323

false

0.003284

0.005747

0

0.10509

0.01642

0

null

0

null

0

1

0

2b30462f4e15d1e7277002cce72ced8525343755

982

py

Python

dailyblink/media.py

ptrstn/dailyblink

16fe482552b101d83412bfbb662b8754682ba7d2

[ "MIT" ]

25

2020-05-01T16:34:11.000Z

2022-02-19T09:39:20.000Z

dailyblink/media.py

ptrstn/dailyblink

16fe482552b101d83412bfbb662b8754682ba7d2

[ "MIT" ]

24

2020-12-07T21:07:11.000Z

2022-03-15T18:18:00.000Z

dailyblink/media.py

ptrstn/dailyblink

16fe482552b101d83412bfbb662b8754682ba7d2

[ "MIT" ]

6

2021-03-05T09:19:37.000Z

2022-01-01T08:25:14.000Z

import pathlib from mutagen.mp4 import MP4 def create_file(content, path, mode): pathlib.Path(path).parent.mkdir(parents=True, exist_ok=True) with open(path, mode) as file: file.write(content) def save_media(media, file_path): create_file(content=media, path=file_path, mode="wb") def save_te...

20.458333

64

0.647658

137

982

4.445255

0.357664

0.108374

0.083744

0.059113

0.082102

0

0.015915

0.232179

982

47

65

20.893617

0.791777

0

0.03666

0

1

0.117647

false

0

0.058824

0

0.176471

0

null

0

null

0

1

0

2b307d66d8ef01ec6b560b96a1fec0c928cc9a2d

22,878

py

Python

src/server/server.py

HanseMerkur/cassh

947023ad7971a0922d56aaaee5afcdf9294334e3

[ "Apache-2.0" ]

null

src/server/server.py

HanseMerkur/cassh

947023ad7971a0922d56aaaee5afcdf9294334e3

[ "Apache-2.0" ]

null

src/server/server.py

HanseMerkur/cassh

947023ad7971a0922d56aaaee5afcdf9294334e3

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ Sign a user's SSH public key. """ from argparse import ArgumentParser from json import dumps from os import remove from re import compile as re_compile, IGNORECASE from tempfile import NamedTemporaryFile from urllib.parse import unquote_plus # Third party library imports from configparser im...

33.447368

110

0.563992

2,549

22,878

4.910553

0.137309

0.053687

0.075098

0.033954

0.526244

0.468483

0.44835

0.439722

0.430375

0.405928

0

0.01281

0.314145

22,878

683

111

33.49634

0.784909

0.085978

0

0.528421

0

0.006316

0.188702

0.014493

0

1

0.031579

false

0.014737

0.025263

0

0.197895

0.029474

0

null

0

null

0

1

0

2b349e7b7c259815a84ae590fa15ba7d1700f32b

2,339

py

Python

app/api/inventory_routes.py

jon-wehner/MyPantry

01f833b99d4318b4676abd542272dce61d0b8c61

[ "MIT" ]

9

2021-03-02T16:52:40.000Z

2021-03-03T16:51:46.000Z

app/api/inventory_routes.py

jon-wehner/PantryStock

01f833b99d4318b4676abd542272dce61d0b8c61

[ "MIT" ]

50

2021-03-12T16:04:49.000Z

2022-03-17T20:47:00.000Z

app/api/inventory_routes.py

jon-wehner/PantryStock

01f833b99d4318b4676abd542272dce61d0b8c61

[ "MIT" ]

null

from flask import Blueprint, request from app.models import UserItem, User, db from app.forms import InventoryItemForm from flask_login import login_required from app.utils import validation_errors_to_error_messages inventory_routes = Blueprint('inventory', __name__) # Get all of a user's Items @inventory_routes.rou...

33.898551

75

0.655408

296

2,339

4.952703

0.216216

0.04502

0.034106

0.047067

0.579809

0.558663

0.366985

0.350614

0.257844

0

0.218469

2,339

68

76

34.397059

0.801969

0.024369

0

0.491525

0

0.129443

0.012286

0

1

0.050847

false

0

0.084746

0

0.237288

0.050847

0

null

0

null

0

1

0

2b37b39bc7440eb3efd9fb78397787d52e20da21

760

py

Python

src/doremi/__init__.py

jpivarski/doremi

0f8fb1fc8e9664b2e4b61fffc5382e41d8d624d6

[ "BSD-3-Clause" ]

1

2022-01-09T00:32:44.000Z

src/doremi/__init__.py

jpivarski/doremi

0f8fb1fc8e9664b2e4b61fffc5382e41d8d624d6

[ "BSD-3-Clause" ]

null

src/doremi/__init__.py

jpivarski/doremi

0f8fb1fc8e9664b2e4b61fffc5382e41d8d624d6

[ "BSD-3-Clause" ]

null

# BSD 3-Clause License; see https://github.com/jpivarski/doremi/blob/main/LICENSE from ._version import version as __version__ from typing import Optional import doremi.parsing import doremi.abstract import doremi.concrete def compose( source: str, scale: doremi.concrete.AnyScale = "C major", bpm: floa...

26.206897

81

0.743421

92

760

5.913043

0.48913

0.128676

0.069853

0.110294

0

0.0078

0.156579

760

28

82

27.142857

0.840874

0.103947

0

0.036819

0

1

0.055556

false

0

0.277778

0

0.388889

0

null

0

null

0

1

0

2b3e41b019fe6b2d3864d763d679862e197cea39

7,447

py

Python

Lib/glyphsLib/interpolation.py

anthrotype/glyphsLib

ab98c4ae3981aec72ae70a053c3efb0ca2dd6b93

[ "Apache-2.0" ]

null

Lib/glyphsLib/interpolation.py

anthrotype/glyphsLib

ab98c4ae3981aec72ae70a053c3efb0ca2dd6b93

[ "Apache-2.0" ]

null

Lib/glyphsLib/interpolation.py

anthrotype/glyphsLib

ab98c4ae3981aec72ae70a053c3efb0ca2dd6b93

[ "Apache-2.0" ]

null

# Copyright 2015 Google 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 required by applicable law or a...

35.293839

79

0.674903

970

7,447

5.004124

0.257732

0.046972

0.00618

0.009271

0.152452

0.112279

0.082818

0.057684

0.041203

0

0.003903

0.243051

7,447

210

80

35.461905

0.857194

0.291795

0

0.132231

0

0.055966

0

0.008264

1

0.041322

false

0

0.066116

0

0.157025

0.008264

0

null

0

null

0

1

0

2b3fd90b08b658e73198cb9b547400cb33e29f70

10,934

py

Python

code/analysis/plot_group_statistics.py

INM-6/reproducing-polychronization

fbce7040450a92996ef64bb081558ea02f6a72da

[ "MIT" ]

2

2019-09-05T13:26:55.000Z

2019-11-27T17:23:13.000Z

code/analysis/plot_group_statistics.py

INM-6/reproducing-polychronization

fbce7040450a92996ef64bb081558ea02f6a72da

[ "MIT" ]

null

code/analysis/plot_group_statistics.py

INM-6/reproducing-polychronization

fbce7040450a92996ef64bb081558ea02f6a72da

[ "MIT" ]

3

2018-09-20T13:03:05.000Z

2021-12-09T09:31:07.000Z

import argparse import numpy as np import os import sys import matplotlib matplotlib.use('Agg') import json import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec import mpl_toolkits.axes_grid.inset_locator import helper as hf import plot_helper as phf import seaborn as sns import scipy.stats as stat fr...

36.691275

247

0.587525

1,479

10,934

4.161596

0.194726

0.033144

0.040942

0.020471

0.549472

0.48026

0.438993

0.426645

0.380829

0.347035

0

0.03156

0.252332

10,934

298

248

36.691275

0.721346

0.110664

0

0.190045

0

0.206313

0.028987

0

1

0.00905

false

0

0.067873

0.004525

0.085973

0.027149

0

null

0

null

0

1

0

2b3fdcb67a067b54f957d1bd2d0f7f8ff8e0d97e

4,306

py

Python

api-back/extract_resume.py

Bitseat/demo

e5a12d975ef8162e89eaa3e67aaa0967e4c24d75

[ "MIT" ]

null

api-back/extract_resume.py

Bitseat/demo

e5a12d975ef8162e89eaa3e67aaa0967e4c24d75

[ "MIT" ]

1

2020-08-11T15:40:02.000Z

api-back/extract_resume.py

Bitseat/demo

e5a12d975ef8162e89eaa3e67aaa0967e4c24d75

[ "MIT" ]

null

# importing all required libraries import os import traceback # importing libraries for computer vision import numpy as np import cv2 import imutils from imutils import contours from imutils.perspective import four_point_transform from skimage.filters import threshold_local # importing libraries to read text from im...

30.323944

114

0.594055

537

4,306

4.571695

0.22905

0.068432

0.044807

0.039919

0.446029

0.39389

0.343788

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0

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null

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null

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1

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2b421ace835f65630586818249ab3197ef13ff58

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py

Python

week12_telegram_bots/Peter Sergeev Homework/mysubstratedb.py

pserg1/msai-python

57908933d0af0614a9c7f5c6dcdcc1b46abb2184

[ "MIT" ]

null

week12_telegram_bots/Peter Sergeev Homework/mysubstratedb.py

pserg1/msai-python

57908933d0af0614a9c7f5c6dcdcc1b46abb2184

[ "MIT" ]

null

week12_telegram_bots/Peter Sergeev Homework/mysubstratedb.py

pserg1/msai-python

57908933d0af0614a9c7f5c6dcdcc1b46abb2184

[ "MIT" ]

null

import sqlalchemy import pyodbc from sqlalchemy import create_engine from sqlalchemy import Column, Integer, String, DateTime, Float from sqlalchemy.sql import func from sqlalchemy.ext.declarative import declarative_base from sqlalchemy_utils import database_exists, create_database from sqlalchemy.orm import sessionmak...

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0

null

0

null

0

1

0

2b452016fd5d89254447c86f05dc5c9a851e0645

7,251

py

Python

figuras/Pycharm_Papoulis_Probability_Report/buffon_needle_long.py

bor9/estudiando_el_papoulis

ef40ac18d7aece3415cd9ce72d1f9684c762d6df

[ "MIT" ]

null

figuras/Pycharm_Papoulis_Probability_Report/buffon_needle_long.py

bor9/estudiando_el_papoulis

ef40ac18d7aece3415cd9ce72d1f9684c762d6df

[ "MIT" ]

null

figuras/Pycharm_Papoulis_Probability_Report/buffon_needle_long.py

bor9/estudiando_el_papoulis

ef40ac18d7aece3415cd9ce72d1f9684c762d6df

[ "MIT" ]

null

import matplotlib.pyplot as plt import numpy as np import math from matplotlib import patches from matplotlib import transforms import matplotlib.colors as colors from matplotlib import cm from matplotlib import rc __author__ = 'ernesto' # if use latex or mathtext rc('text', usetex=False) rc('mathtext', fontset='cm...

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0

null

0

null

0

1

0

2b46780622ca167e59a3a3ad6cc2146cc6ba62f4

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py

Python

app.py

chrisvoncsefalvay/dash-sir-interactive-model

97d854774fb5395452127b5627efab39bddcdbdf

[ "BSD-3-Clause" ]

3

2020-11-29T06:36:23.000Z

2021-11-28T13:10:46.000Z

app.py

chrisvoncsefalvay/dash-sir-interactive-model

97d854774fb5395452127b5627efab39bddcdbdf

[ "BSD-3-Clause" ]

null

app.py

chrisvoncsefalvay/dash-sir-interactive-model

97d854774fb5395452127b5627efab39bddcdbdf

[ "BSD-3-Clause" ]

null

import os import flask import dash import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import plotly.graph_objects as go import dash_defer_js_import as dji import numpy as np from components import solve external_sty...

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null

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2b489fbcfce2c4d5dd4a28fb019c7e2eb148afb0

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py

Python

autoesk_main/anual_defis.py

SilasPDJ/autoesk_project_v2

249730307ad350a1aaacfd5abe08b0781253854e

[ "MIT" ]

1

2021-03-12T00:40:13.000Z

autoesk_main/anual_defis.py

SilasPDJ/autoesk_project_v2

249730307ad350a1aaacfd5abe08b0781253854e

[ "MIT" ]

1

2021-04-02T04:40:38.000Z

2021-04-02T04:42:20.000Z

autoesk_main/anual_defis.py

SilasPDJ/autoesk_project_v2

249730307ad350a1aaacfd5abe08b0781253854e

[ "MIT" ]

null

from imports import WDShorcuts from imports import press_key_b4, activate_window, tk_msg from imports import TimeoutException, ElementClickInterceptedException, NoSuchElementException, NoAlertPresentException from imports import ActionChains from imports import Keys, By, WebDriverWait, expected_conditions from imports ...

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null

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null

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0

2b4920cd2300bafcb005d22098eb6361aa94da89

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py

Python

src/Python/Bezier.py

rparak/Bezier_Curve_Simple

06531e17601a52c65aef36c38d61673fee676751

[ "MIT" ]

2

2021-04-09T20:38:57.000Z

2022-01-03T09:19:27.000Z

src/Python/Bezier.py

rparak/Bezier_Curve_Simple

06531e17601a52c65aef36c38d61673fee676751

[ "MIT" ]

null

src/Python/Bezier.py

rparak/Bezier_Curve_Simple

06531e17601a52c65aef36c38d61673fee676751

[ "MIT" ]

null

""" ## =========================================================================== ## MIT License Copyright (c) 2021 Roman Parak 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...

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2b4a35412c05702e2d3412785226759c63a9cac5

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py

Python

dist/weewx-4.5.1/examples/basic/install.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

10

2017-01-05T17:30:48.000Z

2021-09-18T15:04:20.000Z

dist/weewx-4.5.1/examples/basic/install.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

2

2019-07-21T10:48:42.000Z

2022-02-16T20:36:45.000Z

dist/weewx-4.5.1/examples/basic/install.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

12

2017-01-05T18:50:30.000Z

2021-10-05T07:35:45.000Z

# installer for the 'basic' skin # Copyright 2014 Matthew Wall from weecfg.extension import ExtensionInstaller def loader(): return BasicInstaller() class BasicInstaller(ExtensionInstaller): def __init__(self): super(BasicInstaller, self).__init__( version="0.1", name='basic...

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null

0

null

0

1

0

2b5509332abe32e34973d35ac1a06d05d2a1a9d0

1,581

py

Python

Code/ReceiverZX.py

eastOffice/MsgBrokerTest

5139fff386c73bf05afdfa63c827b6ba36405cdb

[ "MIT" ]

null

Code/ReceiverZX.py

eastOffice/MsgBrokerTest

5139fff386c73bf05afdfa63c827b6ba36405cdb

[ "MIT" ]

null

Code/ReceiverZX.py

eastOffice/MsgBrokerTest

5139fff386c73bf05afdfa63c827b6ba36405cdb

[ "MIT" ]

null

#!/usr/bin/env python import pika import random import time import sys import datetime import QoECurve ''' MsgBroker Configuration ''' max_priority = 250 connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) channel = connection.channel() c_properties = dict() c_properties['x-max-priority'] = ...

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0

null

0

null

0

1

0

2b5653d2af00c13103b575ebb27d1a523e5c40b6

1,723

py

Python

problem12.py

rentes/Euler

e28b536a15f2e795f886a5df261d38bb0181be07

[ "MIT" ]

1

2019-05-29T23:54:24.000Z

problem12.py

rentes/Euler

e28b536a15f2e795f886a5df261d38bb0181be07

[ "MIT" ]

null

problem12.py

rentes/Euler

e28b536a15f2e795f886a5df261d38bb0181be07

[ "MIT" ]

null

"""Project Euler - Problem 12 - http://projecteuler.net/problem=12""" import sys import time import tools.timeutils as timeutils def number_of_factors(n): """ Returns the number of factors of number n Using a list to keep the factors found of number n """ max_limit = 0 nr_factors = 2 # 1 and...

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0.035156

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0.314568

1,723

57

78

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0

0.008602

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false

0

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0.034483

0

null

0

null

0

1

0

2b56b38a493baecfbe24f9c81a16e03dcfd892d0

5,203

py

Python

external_code/Correlations_pipeline/MultivariateXWASCorr.py

SamuelDiai/Dash-Website

e064e432f14a86de1b54cf31ab311997c5643129

[ "MIT" ]

null

external_code/Correlations_pipeline/MultivariateXWASCorr.py

SamuelDiai/Dash-Website

e064e432f14a86de1b54cf31ab311997c5643129

[ "MIT" ]

null

external_code/Correlations_pipeline/MultivariateXWASCorr.py

SamuelDiai/Dash-Website

e064e432f14a86de1b54cf31ab311997c5643129

[ "MIT" ]

null

from scipy import stats import pandas as pd import numpy as np path_mutlivariate_feat_imps = '/n/groups/patel/samuel/EWAS/feature_importances_paper/' Environmental = ['Clusters_Alcohol', 'Clusters_Diet', 'Clusters_Education', 'Clusters_ElectronicDevices', 'Clusters_Employment', 'Clusters_FamilyHistory'...

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0.016833

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0

0.007758

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0.016667

0

null

0

null

0

1

0

2b58d366bf3ed1f98d609fd61a964c71dab67651

8,544

py

Python

dataset2/Channel-PFLocalization-DataSet2.py

herolab-uga/pf-doa-localization

f6d4f3b5bafdde7a9afa905b96378fdc113f70f6

[ "MIT" ]

3

2022-01-17T14:29:26.000Z

2022-03-31T13:06:55.000Z

dataset2/Channel-PFLocalization-DataSet2.py

herolab-uga/pf-doa-localization

f6d4f3b5bafdde7a9afa905b96378fdc113f70f6

[ "MIT" ]

null

dataset2/Channel-PFLocalization-DataSet2.py

herolab-uga/pf-doa-localization

f6d4f3b5bafdde7a9afa905b96378fdc113f70f6

[ "MIT" ]

null

import math import numpy as np import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import pyplot as pb import random from datetime import datetime import time import sys import csv def dist(x, y, pos): return math.sqrt((pos[0]-x)**2 + (pos[1]-y)**2) area...

42.934673

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0.622659

1,273

8,544

3.996858

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0.028105

0.02162

0.253931

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0.10908

0.050904

0.045204

0

0.035241

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8,544

198

194

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0

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0

1

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0.009091

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0.027273

0

null

0

null

0

1

0

2b5d21bc7f3bf38099a6104d053f835c59544b6b

2,764

py

Python

test/connectivity/acts/tests/google/bt/native/BtNativeTest.py

Keneral/atools

055e76621340c7dced125e9de56e2645b5e1cdfb

[ "Unlicense" ]

null

test/connectivity/acts/tests/google/bt/native/BtNativeTest.py

Keneral/atools

055e76621340c7dced125e9de56e2645b5e1cdfb

[ "Unlicense" ]

null

test/connectivity/acts/tests/google/bt/native/BtNativeTest.py

Keneral/atools

055e76621340c7dced125e9de56e2645b5e1cdfb

[ "Unlicense" ]

1

2018-02-24T19:13:01.000Z

#/usr/bin/env python3.4 # # Copyright (C) 2016 The Android Open Source Project # # 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...

35.435897

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0

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0

0.442308

0

null

0

null

0

1

0

2b61d7390ab2819c257c38fbffc3a703a9852f12

5,176

py

Python

PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex.py

PerformanceEstimation/PEPit

7005bc9a9da11dea448966437365c897734ec341

[ "MIT" ]

1

2022-03-30T11:18:37.000Z

PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex.py

PerformanceEstimation/PEPit

7005bc9a9da11dea448966437365c897734ec341

[ "MIT" ]

1

2022-02-23T10:26:38.000Z

PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex.py

PerformanceEstimation/PEPit

7005bc9a9da11dea448966437365c897734ec341

[ "MIT" ]

null

from PEPit import PEP from PEPit.functions import SmoothStronglyConvexFunction def wc_accelerated_gradient_convex(mu, L, n, verbose=1): """ Consider the convex minimization problem .. math:: f_\\star \\triangleq \\min_x f(x), where :math:`f` is :math:`L`-smooth and :math:`\\mu`-strongly convex (:mat...

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0

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0

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0

0.142857

0

null

0

null

0

1

0

2b62bceba3f71a5c3bc433ee4f5eefd5ac1873e5

4,052

py

Python

2_import/rna_seq/01_import_merged_tsv.py

weng-lab/SCREEN

e8e7203e2f9baa2de70e2f75bdad3ae24b568367

[ "MIT" ]

5

2020-07-30T02:35:20.000Z

2020-12-24T01:26:47.000Z

2_import/rna_seq/01_import_merged_tsv.py

weng-lab/SCREEN

e8e7203e2f9baa2de70e2f75bdad3ae24b568367

[ "MIT" ]

6

2021-03-04T10:30:11.000Z

2022-03-16T16:47:47.000Z

2_import/rna_seq/01_import_merged_tsv.py

weng-lab/SCREEN

e8e7203e2f9baa2de70e2f75bdad3ae24b568367

[ "MIT" ]

2

2020-12-08T10:05:02.000Z

2022-03-10T09:41:19.000Z

#!/usr/bin/env python # SPDX-License-Identifier: MIT # Copyright (c) 2016-2020 Michael Purcaro, Henry Pratt, Jill Moore, Zhiping Weng from __future__ import print_function import os import sys import json import psycopg2 import argparse import gzip sys.path.append(os.path.join(os.path.dirname(__file__), '../../comm...

32.15873

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0

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0.389474

0.063158

0

null

0

null

0

1

0

2b663e447ff6dde531cade9c45704d5b63408a17

4,618

py

Python

code/src/helpers/sequencer.py

mcd01/arvalus-experiments

1c075853885d0d81284eee55988ba8747d33584e

[ "MIT" ]

null

code/src/helpers/sequencer.py

mcd01/arvalus-experiments

1c075853885d0d81284eee55988ba8747d33584e

[ "MIT" ]

null

code/src/helpers/sequencer.py

mcd01/arvalus-experiments

1c075853885d0d81284eee55988ba8747d33584e

[ "MIT" ]

null

import torch from src.transforms import MultiNodeData import collections import dill import os from src.utils import create_dirs class Sequencer(object): "Determines sequences in a dataset and annotates elements accordingly." def __init__(self, path_to_dir : str, node_classes : list = [], graph_classes :...

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0.037975

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0.105222

0.078323

0

0.004342

0.301862

4,618

113

154

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0.779777

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0

0.1125

0

0.025

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0

1

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false

0

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0.025

0.2875

0

null

0

null

0

1

0

2b676d4042d46bee66b146595fc707221e3e2e2a

2,184

py

Python

pymix/lattice_classes.py

vpbereznev/Pymix

74f87a099169f8d215399f5d52eed80a574c8b3b

[ "MIT" ]

null

pymix/lattice_classes.py

vpbereznev/Pymix

74f87a099169f8d215399f5d52eed80a574c8b3b

[ "MIT" ]

null

pymix/lattice_classes.py

vpbereznev/Pymix

74f87a099169f8d215399f5d52eed80a574c8b3b

[ "MIT" ]

null

from math import sqrt, sin, cos, pi, ceil class HexLattice: def __init__(self, pitch, pattern): self.pitch = pitch self.pattern = pattern def num_nodes(self): return len(self.pattern) def num_rings(self): return ceil((1 + sqrt(1 + 4 / 3 * (self.num_nodes() - 1))) / 2) ...

33.6

104

0.42674

311

2,184

2.932476

0.157556

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2b6e420a92dfca372820374b206351ebdc97a95a

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py

Python

Leetcode/medium/binary-tree-from-postorder-and-inorder.py

jen-sjen/data-structures-basics-leetcode

addac32974b16e0a37aa60c210ab7820b349b279

[ "MIT" ]

6

2021-07-29T03:26:20.000Z

2022-01-28T15:11:45.000Z

Leetcode/medium/binary-tree-from-postorder-and-inorder.py

jen-sjen/data-structures-basics-leetcode

addac32974b16e0a37aa60c210ab7820b349b279

[ "MIT" ]

2

2021-09-30T09:47:23.000Z

2022-01-31T03:08:24.000Z

Leetcode/medium/binary-tree-from-postorder-and-inorder.py

jen-sjen/data-structures-basics-leetcode

addac32974b16e0a37aa60c210ab7820b349b279

[ "MIT" ]

5

2021-08-10T06:41:11.000Z

2022-01-29T17:50:20.000Z

""" # CREATE BINARY TREE FROM POSTORDER AND INORDER Given inorder and postorder traversal of a tree, construct the binary tree. Note: You may assume that duplicates do not exist in the tree. For example, given inorder = [9,3,15,20,7] postorder = [9,15,7,20,3] Return the following binary tree: 3 - - 9 20...

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2b76612269c85e9f247752fe2f6a4d09415e6758

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py

Python

hyper_param/utils.py

EnisBerk/hyperopt-keras-sample

dc6892f023b83ee3b5b92f2a258676ad6bbc0a94

[ "MIT" ]

null

hyper_param/utils.py

EnisBerk/hyperopt-keras-sample

dc6892f023b83ee3b5b92f2a258676ad6bbc0a94

[ "MIT" ]

null

hyper_param/utils.py

EnisBerk/hyperopt-keras-sample

dc6892f023b83ee3b5b92f2a258676ad6bbc0a94

[ "MIT" ]

null

"""Json utils to print, save and load training results.""" import os import json from bson import json_util import tensorflow as tf from tensorflow.python.saved_model import builder as saved_model_builder, tag_constants from tensorflow.python.client import device_lib import keras.backend as K from gradient_sdk impor...

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null

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2b774945cd3adbd39f821d0dd8b129b94b59f146

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py

Python

cog_modules/taunts/cog.py

michael-byrd/HammerBot

f9ad90179b486949f76a2e69a1e8b26414e2b21a

[ "MIT" ]

3

2021-12-30T19:45:24.000Z

2022-03-07T19:14:26.000Z

cog_modules/taunts/cog.py

michael-byrd/HammerBot

f9ad90179b486949f76a2e69a1e8b26414e2b21a

[ "MIT" ]

29

2022-01-07T20:07:48.000Z

2022-03-30T01:10:16.000Z

cog_modules/taunts/cog.py

michael-byrd/HammerBot

f9ad90179b486949f76a2e69a1e8b26414e2b21a

[ "MIT" ]

4

2022-01-07T20:17:56.000Z

2022-03-24T00:20:50.000Z

import os import disnake from disnake.ext import commands, tasks from dotenv import load_dotenv class Taunts(commands.Cog): """Replies with taunts from AoE2""" def __init__(self, bot: commands.Bot): self.bot = bot @commands.command(name="1") async def yes_1(self, ctx: commands...

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2b77f7eedc8e7e3dc9ed83b6fd8ae34f45c97d94

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py

Python

sources/models/DeepCNN2.py

cwi-dis/affect-gan

aea0f7dd7dc412f7e3fc44bc2db3526b09aaf131

[ "MIT" ]

null

sources/models/DeepCNN2.py

cwi-dis/affect-gan

aea0f7dd7dc412f7e3fc44bc2db3526b09aaf131

[ "MIT" ]

null

sources/models/DeepCNN2.py

cwi-dis/affect-gan

aea0f7dd7dc412f7e3fc44bc2db3526b09aaf131

[ "MIT" ]

null

import config import tensorflow as tf import tensorflow.keras.layers as layers from models.Blocks import * class DeepCNN(tf.keras.Model): def __init__(self, hparams, *args, **kwargs): super(DeepCNN, self).__init__(*args, **kwargs) self.layers_count = hparams[config.HP_DEEP_LAYERS] self.d...

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null

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null

0

1

0

2b78cd2e8c328cd6e908ab353389cea7a0e9d949

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py

Python

z3/finding_celebrities.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

279

2015-01-10T09:55:35.000Z

2022-03-28T02:34:03.000Z

z3/finding_celebrities.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

10

2017-10-05T15:48:50.000Z

2021-09-20T12:06:52.000Z

z3/finding_celebrities.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

83

2015-01-20T03:44:00.000Z

2022-03-13T23:53:06.000Z

#!/usr/bin/python -u # -*- coding: latin-1 -*- # # Finding celebrities problem in Z3 # # From Uwe Hoffmann # "Finding celebrities at a party" # http://www.codemanic.com/papers/celebs/celebs.pdf # """ # Problem: Given a list of people at a party and for each person the list of # people they know at the party, we want t...

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null

0

null

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1

0

2b79194f124eff83fdb228ce81236856c628bf5e

3,495

py

Python

features/count_encoding_present_domains.py

wantedly/recsys2020-challenge

d9967860cc4767380d28d2ed7af00d467cc6941a

[ "Apache-2.0" ]

35

2020-06-23T05:33:50.000Z

2021-11-22T08:22:42.000Z

features/count_encoding_present_domains.py

wantedly/recsys2020-challenge

d9967860cc4767380d28d2ed7af00d467cc6941a

[ "Apache-2.0" ]

15

2020-12-28T05:31:06.000Z

2021-01-22T06:49:28.000Z

features/count_encoding_present_domains.py

wantedly/recsys2020-challenge

d9967860cc4767380d28d2ed7af00d467cc6941a

[ "Apache-2.0" ]

2

2020-06-30T10:02:05.000Z

2021-05-22T09:57:19.000Z

import os import pandas as pd from base import BaseFeature from encoding_func import target_encoding from google.cloud import storage, bigquery from google.cloud import bigquery_storage_v1beta1 class CountEncodingPresentDomains(BaseFeature): def import_columns(self): return [ "tweet_id", ...

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null

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1

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2b7933c47db153c1ec83f5874cfd167e2b409ed3

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py

Python

IntroDataScience/ejercicios/06/mean.py

aess14/Cursos-Uniandes

be016b25f2f49788235fbe91ec577fd16b9ad613

[ "MIT" ]

null

IntroDataScience/ejercicios/06/mean.py

aess14/Cursos-Uniandes

be016b25f2f49788235fbe91ec577fd16b9ad613

[ "MIT" ]

null

IntroDataScience/ejercicios/06/mean.py

aess14/Cursos-Uniandes

be016b25f2f49788235fbe91ec577fd16b9ad613

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt def prior(mu): """ Densidad de probabilidad de mu """ p = np.ones(len(mu))/(mu.max()-mu.min()) return p def like(x, sigma, mu): """ Likelihod de tener un dato x e incertidumbre sigma """ L = np.ones(len(mu)) for x_i,sigma_i in ...

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null

0

null

0

1

0

2b795e47993f764317453f8d08fc171b991375f7

582

py

Python

quickSorting.py

slowy07/pythonApps

22f9766291dbccd8185035745950c5ee4ebd6a3e

[ "MIT" ]

10

2020-10-09T11:05:18.000Z

2022-02-13T03:22:10.000Z

quickSorting.py

khairanabila/pythonApps

f90b8823f939b98f7bf1dea7ed35fe6e22e2f730

[ "MIT" ]

null

quickSorting.py

khairanabila/pythonApps

f90b8823f939b98f7bf1dea7ed35fe6e22e2f730

[ "MIT" ]

6

2020-11-26T12:49:43.000Z

2022-03-06T06:46:43.000Z

def partition(arr, low, high): i = (low - 1) pivot = arr[high] for j in range(low, high): if arr[j] <= pivot: i = i + 1 arr[i], arr[j] = arr[j], arr[i] arr[i + 1], arr[high] = arr[high], arr[i + 1] return i + 1 def quickSorting(arr, low, high): if low < hig...

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