content stringlengths 7 928k | avg_line_length float64 3.5 33.8k | max_line_length int64 6 139k | alphanum_fraction float64 0.08 0.96 | licenses list | repository_name stringlengths 7 104 | path stringlengths 4 230 | size int64 7 928k | lang stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
from setuptools import setup, find_packages
setup(
name = "pierre",
version = "1.0.0",
py_modules = ["pierre"],
install_requires = [
"Click",
"mistune",
],
package_dir = {"": "pierre"},
entry_points = {
"console_scripts": [
"pierre = pierre:main"
... | 18.210526 | 43 | 0.482659 | [
"Unlicense"
] | CoryMcCartan/pierre | setup.py | 346 | Python |
# Copyright (c) 2019 Bernd Wiesner. bernduwiesner@yahoo.co.uk
# All rights reseArgumentS_Resultsed
#
""" Display the command line options in a window
"""
from argparse import Namespace
from typing import Tuple, Union
import PySimpleGUI as sg
import constants as C
from gui_utility import popup_window
ArgumentsR... | 38.068182 | 85 | 0.468507 | [
"MIT"
] | bernduwiesner/GenLottery | gui_arguments.py | 6,700 | Python |
import sys, java, unittest
import xpath
from xml.dom import minidom as dom
from geoscript import geom, proj, feature
try:
import json
except ImportError:
import simplejson as json
class Feature_Test(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.xpathctx = xpath.XPathContext()
cls.xpath... | 33.259259 | 289 | 0.58686 | [
"MIT"
] | geoscript/geoscript-py | tests/test_feature.py | 7,184 | Python |
import itertools as it
import re
import string
import warnings
from xml.dom import minidom
from manimlib.constants import *
from manimlib.mobject.geometry import Circle
from manimlib.mobject.geometry import Rectangle
from manimlib.mobject.geometry import RoundedRectangle
from manimlib.mobject.types.vectorized_mobject... | 37.949519 | 79 | 0.559574 | [
"MIT"
] | Tarang74/manim | manimlib/mobject/svg/svg_mobject.py | 15,787 | Python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2019 Zimeng Qiu <zimengq@andrew.cmu.edu>
"""
F19 11-411/611 NLP Assignment 3 Task 1
N-gram Language Model Implementation Script
Zimeng Qiu Sep 2019
This is a simple implementation of N-gram language model
Write your own implementation in this file!
"""
... | 40.117647 | 154 | 0.623851 | [
"MIT"
] | alvisdeng/NLP-Language-Model | lm.py | 10,230 | Python |
"""
---
title: Compressive Transformer Experiment
summary: This experiment trains a compressive transformer model on tiny Shakespeare dataset.
---
# Compressive Transformer Experiment
This is an annotated PyTorch experiment to train a compressive transformer model.
"""
from typing import List, Tuple, NamedTuple
impo... | 36.883853 | 120 | 0.606836 | [
"MIT"
] | Aarsh2001/annotated_deep_learning_paper_implementations | labml_nn/transformers/compressive/experiment.py | 13,020 | Python |
# coding:utf8
from flask import request
routes = dict()
class ApiServiceBase(type):
def __new__(cls, name, base, attrs):
# super(type, obj) require isinstance(obj, type)
return super(ApiServiceBase, cls).__new__(cls, name, base, attrs)
def __init__(self, name, base, attrs):
if name == 'ApiService':
pas... | 19.117647 | 67 | 0.666154 | [
"BSD-3-Clause"
] | qzlzwhx/flask | flask/api_service.py | 650 | Python |
"""
# EXCEL SHEET COLUMN TITLE
Given a positive integer, return its corresponding column title as appear in an Excel sheet.
For example:
1 -> A
2 -> B
3 -> C
...
26 -> Z
27 -> AA
28 -> AB
...
Example 1:
Input: 1
Output: "A"
Example 2:
Input: 28
Output: "AB"
Example 3:
Input: 70... | 15 | 92 | 0.434043 | [
"MIT"
] | das-jishu/data-structures-basics-leetcode | Leetcode/easy/excel-sheet-column-title.py | 705 | Python |
from .dbnet import DBNet
from .drrg import DRRG
from .fcenet import FCENet
from .ocr_mask_rcnn import OCRMaskRCNN
from .panet import PANet
from .psenet import PSENet
from .single_stage_text_detector import SingleStageTextDetector
from .text_detector_mixin import TextDetectorMixin
from .textsnake import TextSnake
__all... | 30.533333 | 75 | 0.790393 | [
"Apache-2.0"
] | A465539338/mmocr | mmocr/models/textdet/detectors/__init__.py | 458 | Python |
from __future__ import print_function
import random
import struct
import sys
import time
import os
import zmq
from msgpack import ExtType, packb, unpackb
class AlignClient(object):
# A synchronous Python2 alignment client
REQ_PREFIX = struct.Struct('=HH')
REQ_SUFFIX = struct.Struct('=Ld')
RESP = st... | 30.085714 | 113 | 0.583096 | [
"MPL-2.0"
] | SamStudio8/pomoxis | pomoxis/align/py2client.py | 2,106 | Python |
##########################################################################
#
# Copyright (c) 2017, John Haddon. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of so... | 39.109091 | 77 | 0.69642 | [
"BSD-3-Clause"
] | ACFX/gaffer | python/GafferDelightUITest/DocumentationTest.py | 2,151 | Python |
from .config import Config
from .tools import Tools
| 13.25 | 26 | 0.792453 | [
"MIT"
] | prise6/smart-iss-posts | iss/tools/__init__.py | 53 | Python |
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------------------------------... | 39.957447 | 78 | 0.582801 | [
"BSD-3-Clause"
] | JWDebelius/scikit-bio | skbio/stats/ordination/_correspondence_analysis.py | 7,512 | Python |
"""
Projection class for the Sunyaev-Zeldovich effect. Requires SZpack (version 1.1.1),
which is included in SZpack.v1.1.1 and will be automatically installed.
Website for the SZpack library: http://www.chluba.de/SZpack/
For details on the computations involved please refer to the following references:
Chluba, Nagai, ... | 46.893617 | 101 | 0.520995 | [
"MIT"
] | weiguangcui/pymsz | pymsz/SZpack_models.py | 24,244 | Python |
"""
Example file on how to display a networkx graph on a browser
"""
import json
import networkx as nx
from networkx.readwrite import json_graph
import http_server
import random
# https://www.alanzucconi.com/2015/11/03/recreational-maths-python/
# Converts a number in the list of its digits
def int_to_list(n):
#... | 27.186047 | 75 | 0.673225 | [
"MIT"
] | dborbor/InteractiveGraph | program.py | 1,169 | Python |
# TODO: not very happy with this state of affairs of having unencrypted passwords (use keyring ?)
ALYX_PWD = 'alyxpassword'
HTTP_DATA_SERVER_PWD = 'httpserverpass' # password for flat iron server for IBLail
| 52 | 97 | 0.788462 | [
"MIT"
] | GaelleChapuis/ibllib | python/oneibl/params_secret.py | 208 | Python |
from typing import Optional, List
from pydantic import BaseModel
class LogSetting(BaseModel):
LOG_LEVEL: Optional[str] = 'DEBUG'
LOG_PATH: str
class ServiceSetting(BaseModel):
# openapi swagger
INCLUDE_IN_SCHEMA: Optional[bool] = True
# socket.io on
SOCKET_IO_ON: Optional[bool] = False
c... | 20.363636 | 53 | 0.712054 | [
"MIT"
] | panla/fastapi_sockets | conf/settings.py | 448 | Python |
# --------------
# Importing header files
import numpy as np
# print(path)
# Path of the file has been stored in variable called 'path'
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
#Code starts here
census = np.array([])
data=np.genfromtxt(path, delimiter=",", skip_header=1)
census = np.conc... | 26.319149 | 110 | 0.605497 | [
"MIT"
] | amitgupta98/ga-learner-dsmp-repo | Make-Sense-of-census/code.py | 2,474 | Python |
"""
Generate and operate on geometric elements and meshes.
"""
from __future__ import absolute_import
from .geometry import Polygon, Square, Prism, Tesseroid, Sphere
from .geometry import PolygonalPrism
from .mesh import SquareMesh, PointGrid, PrismRelief, PrismMesh, TesseroidMesh
| 31.444444 | 78 | 0.812721 | [
"BSD-3-Clause"
] | Claudiadtx/Pelotas | fatiando/mesher/__init__.py | 283 | Python |
import subprocess
import gdspy
import shutil
from utils import *
from codegen.caravel_codegen import generate_openlane_files
from urllib.parse import urlparse
import os, json
REQUIRED_KEYS_SINGLE = ["project", "caravel_test", "module_test", "wrapper_proof", "openlane", "gds"]
class Project(object):
def __init__... | 39.708333 | 173 | 0.600333 | [
"Apache-2.0"
] | mattvenn/multi_project_tools | project.py | 16,201 | Python |
"""
MX Platform API
The MX Platform API is a powerful, fully-featured API designed to make aggregating and enhancing financial data easy and reliable. It can seamlessly connect your app or website to tens of thousands of financial institutions. # noqa: E501
The version of the OpenAPI document: 0.1.0
... | 25.972222 | 242 | 0.717647 | [
"MIT"
] | mxenabled/mx-platform-python | test/test_statement_response.py | 935 | Python |
"""Criteria for parametric methods.
.. topic:: This module provides criteria to automatically select order in
parametric PSD estimate or pseudo spectrum estimates (e.g, music).
Some criteria such as the AIC criterion helps to chose the order of PSD
models such as the ARMA model. Nevertheless, it is diffic... | 29.138643 | 94 | 0.591921 | [
"BSD-3-Clause"
] | butala/spectrum | src/spectrum/criteria.py | 9,878 | Python |
from tkinter import *
class MainFrame(Frame):
def __init__(self, parent):
super().__init__()
self['bd'] = 1
self['relief'] = SOLID
self['padx'] = 5
self['pady'] = 5
self.label_text1 = StringVar()
self.label_text1.set('Digite seu nome')
self.text_text... | 28.857143 | 79 | 0.612871 | [
"MIT"
] | JonasJF360/Curso_Tkinter | Aulas/app001/ex18-praticando_frame.py | 1,013 | Python |
__author__ = "Laurence Elliott - 16600748"
import os, math
import numpy as np
# sampleLens = []
# count = 0
# for file in os.listdir("corpus"):
# sample = np.load("corpus/" + file)
# zeroArr = [0]
# try:
# zerosInSample = np.isin(sample, zeroArr)
# zerosIndexes = np.where(zerosInSample)
# ... | 29.190476 | 69 | 0.607667 | [
"MIT"
] | laurencejbelliott/Ensemble_DL_Ransomware_Detector | bin-utf8-vec/truncateCorpus.py | 1,226 | Python |
# This file is part of the MapProxy project.
# Copyright (C) 2010, 2011 Omniscale <http://omniscale.de>
#
# 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/L... | 37.135593 | 100 | 0.611491 | [
"ECL-2.0",
"Apache-2.0"
] | GeoplexGIS/mapproxy | mapproxy/seed/seeder.py | 19,719 | Python |
import minimalmodbus
import serial.tools.list_ports
import argparse
import time
#Creates a new instance of a minimal modbus connection
#Change portname to whatever you're using (/dev/USB0, COM4, etc)
#Or just change it when you create the new serial object
#247 is the default address for Renogy devices
class RenogySma... | 32.063694 | 114 | 0.635081 | [
"MIT"
] | epfenninger/HA-Renogy | Renogy.py | 5,034 | Python |
import math
import os
from pathlib import Path
from typing import Iterable, Union
import mmcv
import torch
from pytorch3d.structures.meshes import Meshes
from tqdm import trange
import mmhuman3d
from mmhuman3d.core.cameras import compute_orbit_cameras
from mmhuman3d.core.conventions.cameras import convert_cameras
fro... | 28.54902 | 74 | 0.590316 | [
"Apache-2.0"
] | mingyuan-zhang/mmhuman3d | mmhuman3d/core/visualization/renderer/torch3d_renderer/render_runner.py | 2,912 | Python |
import pygame
import random
import helpers
from ItemManager import ItemManager
import scorer
class BlockManager:
def __init__(self,main):
self.main = main
self.blockSize = 75
self.gridWidth = 12
self.gridHeight = 12
self.grid = []
for x in range(0,self.gridWidth):
newColumn = []
... | 30.045198 | 141 | 0.632193 | [
"Unlicense"
] | andy-hanson/monis | src/BlockManager.py | 5,318 | Python |
# coding: utf-8
"""
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environmen... | 51.763158 | 1,052 | 0.785968 | [
"Apache-2.0"
] | CiscoUcs/intersight-python | test/test_vnic_eth_adapter_policy_list.py | 1,967 | Python |
import logging
from pyrogram.errors import InputUserDeactivated, UserNotParticipant, FloodWait, UserIsBlocked, PeerIdInvalid
from info import AUTH_CHANNEL, LONG_IMDB_DESCRIPTION, MAX_LIST_ELM
from imdb import IMDb
import asyncio
from pyrogram.types import Message
from typing import Union
import re
import os
from dateti... | 32.124661 | 135 | 0.56985 | [
"Apache-2.0"
] | godismyloard/Alan-Walker | untils.py | 11,861 | Python |
"""
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... | 31.416327 | 118 | 0.692737 | [
"MIT"
] | boringlee24/keras_old | examples/pwr_run/checkpointing/timed/max_par/job2.py | 7,697 | Python |
# vmimages.py - azurerm functions for Microsoft.Compute RP publishers and images
from .restfns import do_get
from .settings import azure_rm_endpoint, COMP_API
# list_offers(access_token, subscription_id, location, publisher)
# list available VM image offers from a publisher
def list_offers(access_token, subscription... | 46 | 86 | 0.609881 | [
"MIT"
] | pjshi23/mcazurerm | mcazurerm/vmimages.py | 2,530 | Python |
# GUI Application automation and testing library
# Copyright (C) 2006-2018 Mark Mc Mahon and Contributors
# https://github.com/pywinauto/pywinauto/graphs/contributors
# http://pywinauto.readthedocs.io/en/latest/credits.html
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# ... | 32.780435 | 94 | 0.619007 | [
"MIT"
] | snakyhuman/auto-tests | auto1/venv/Lib/site-packages/pywinauto/timings.py | 15,079 | Python |
from corvus.structures import Handler, Exchange, Loop, Update
import corvutils.pyparsing as pp
import os, sys, subprocess, shutil #, resource
import re
from scipy.interpolate import CubicSpline
from scipy.integrate import quad
from scipy.signal import convolve
import numpy as np
# Debug: FDV
import pprint
pp_debug = p... | 38.429487 | 134 | 0.604003 | [
"BSD-3-Clause"
] | times-software/Corvus | corvus/mbconv.py | 5,995 | Python |
# https://adventofcode.com/2020/day/14
import itertools
import re
SAMPLE_PATH = "../../input/2020-14-sample.txt"
INPUT_PATH = "../../input/2020-14-input.txt"
def get_data(filename):
with open(filename) as file:
data = file.read().split("\n\n")
data = [block.splitlines() for block in data]
if l... | 29.453125 | 77 | 0.564987 | [
"MIT"
] | BastiHz/Advent_of_Code | python/2020/day14.py | 1,885 | Python |
import copy
from unittest import mock
import matplotlib
import pytest
from matplotlib import pyplot as plt
from matplotlib._pylab_helpers import Gcf
@pytest.fixture(autouse=True)
def mpl_test_settings(qt_module, mpl_test_settings):
"""
Ensure qt_module fixture is *first* fixture.
We override the `mpl_te... | 31.069307 | 79 | 0.641066 | [
"MIT"
] | qiujiangkun/mplopengl | tests/test_backend_qt.py | 9,414 | Python |
import os
from indexing.pathanalyzer import PathAnalyzer
from indexing.pathanalyzerstore import PathAnalyzerStore
class Indexer:
"""
Traverses the given directory using the DFS algorithm. Allows registering different rules for handling different
file types and calls the associated PathAnalyzers and Collec... | 32.496774 | 120 | 0.534247 | [
"MIT"
] | pgecsenyi/piepy | src/indexing/indexer.py | 5,037 | Python |
from win32com.propsys import propsys, pscon
print("propsys was imported (sorry - that is the extent of the tests,")
print("but see the shell folder_view demo, which uses this module)")
# that's all folks! | 51.75 | 72 | 0.753623 | [
"Apache-2.0"
] | Matchoc/python_env | python35/Lib/site-packages/win32comext/propsys/test/testpropsys.py | 207 | Python |
from __future__ import annotations
import logging
import os
import time
from functools import partial
from typing import Callable, Optional, Sequence, Union
import torch
from hivemind.averaging.control import AveragingStage, StepControl
from hivemind.compression import CompressionBase, NoCompression
from hivemind.dh... | 57.198718 | 123 | 0.701984 | [
"MIT"
] | MeshchaninovViacheslav/hivemind | hivemind/optim/optimizer.py | 44,615 | Python |
'''A temporarily outdated visualization module.'''
import graphviz as gv
from .model import Model
def visualize(model: Model, structural_part=True, measurement_part=False,
view=True, filename=None, title=''):
"""Visualization of SEM model via graphviz library.
Keyword arguments:
model ... | 38.566667 | 75 | 0.623163 | [
"MIT"
] | YoungjuneKwon/forked-semopy | semopy/visualization.py | 1,157 | Python |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 41.637681 | 82 | 0.641142 | [
"MIT"
] | OlhaTkachenko/azure-sdk-for-python | sdk/datamigration/azure-mgmt-datamigration/azure/mgmt/datamigration/models/migrate_sql_server_sql_db_task_properties.py | 2,873 | Python |
import torch.nn as nn
class AwAWrapper(nn.Module):
def __init__(self, embeddingnet):
super(AwAWrapper, self).__init__()
self.embeddingnet = embeddingnet
| 16.181818 | 42 | 0.685393 | [
"MIT"
] | VisionLearningGroup/SANE | lib/nets/awa_net_wrapper.py | 178 | Python |
from setuptools import find_packages, setup
setup(
# Application info
name="pytorch_common",
version="1.5.3",
author="Mihir Rana",
author_email="ranamihir@gmail.com",
description="Repo for common PyTorch code",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_descr... | 31.03125 | 81 | 0.623364 | [
"MIT"
] | ranamihir/pytorch_common | setup.py | 993 | Python |
from torch import nn
import torch.nn.functional as F
from torch import distributions as pyd
class TanhTransform(pyd.transforms.Transform):
domain = pyd.constraints.real
codomain = pyd.constraints.interval(-1.0, 1.0)
bijective = True
sign = +1
def __init__(self, cache_size=1):
super().__in... | 30.27451 | 137 | 0.657383 | [
"MIT"
] | willwhitney/sac_dists | distributions/squashed_normal.py | 1,544 | Python |
#!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 38.788544 | 88 | 0.620012 | [
"Apache-2.0"
] | AI-App/Polyaxon | src/tests/test_tracking/test_run_tracking.py | 63,652 | Python |
# Copyright 2014 Joe Cora.
# Revisions copyright 2017 Peter Cock.
# All rights reserved.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
"""Objects to represent NEXUS standard data type matrix coding.... | 33.728814 | 97 | 0.532161 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | EnjoyLifeFund/macHighSierra-py36-pkgs | Bio/Nexus/StandardData.py | 3,980 | Python |
"""
Words analyses by Amardjia Amine.
Free software utility which allows you to find the most frequent phrases
and frequencies of words. French and English language texts are supported.
It also counts number of words, characters, the lexical density,
sentences...etc.
https://github.com/Layto888/Words-Analysis... | 32.338346 | 85 | 0.601953 | [
"MIT"
] | Layto888/Words-Analysis | words.py | 8,602 | Python |
import logging as log
import time
from . import gitlab
from .approvals import Approvals
GET, POST, PUT, DELETE = gitlab.GET, gitlab.POST, gitlab.PUT, gitlab.DELETE
class MergeRequest(gitlab.Resource):
@classmethod
def create(cls, api, project_id, params):
merge_request_info = api.call(POST(
... | 31.187192 | 106 | 0.626125 | [
"BSD-3-Clause"
] | chmielowiec/marge-bot | marge/merge_request.py | 6,331 | Python |
import json
import logging
import socket
from roombapy.roomba_info import RoombaInfo
class RoombaDiscovery:
udp_bind_address = ""
udp_address = "<broadcast>"
udp_port = 5678
roomba_message = "irobotmcs"
amount_of_broadcasted_messages = 5
server_socket = None
log = None
def __init__(s... | 28.972477 | 79 | 0.594997 | [
"MIT"
] | Erelen-Laiquendi/roombapy | roombapy/discovery.py | 3,158 | Python |
import gdax
import os
import json
API_KEY = os.environ['GDAX_API_KEY']
API_SECRET = os.environ['GDAX_API_SECRET']
API_PASS = os.environ['GDAX_API_PASS']
def main():
'''
Cancels all bitcoin orders.
'''
client = gdax.AuthenticatedClient(API_KEY, API_SECRET, API_PASS)
r = client.cancel_all(product='... | 18.809524 | 68 | 0.686076 | [
"MIT"
] | griswaldbrooks/gdax-tools | cancel.py | 395 | Python |
import pyupbit
import time
from datetime import datetime
# 초기화 준비
def init_prepairing(investable_coins_map, all_market_codes, all_market_names, order_money):
# 이전 투자 시 코인 별 전날 대비 상승률
prev_coins_map = pyupbit.get_prev_dict(investable_coins_map, all_market_codes, all_market_names)
# 투자할 만한 코인 목록 가져오기
in... | 38.770492 | 170 | 0.644228 | [
"BSD-2-Clause"
] | snj830526/py_autoinvestment | pyupbit/strategy.py | 14,197 | Python |
import itertools
import multiprocessing as mp
import os
import pickle
import random
import string
import tempfile
from concurrent.futures import ProcessPoolExecutor
from copy import copy
from functools import partial
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import dask
import das... | 32.982156 | 109 | 0.624355 | [
"BSD-3-Clause"
] | alikefia/dask | dask/dataframe/tests/test_shuffle.py | 44,361 | Python |
from ecsclient.common.other import user_info
user_info = user_info
| 17 | 44 | 0.838235 | [
"Apache-2.0"
] | bcgov/nr-dell-objectstore_admin | ecsclient/v2/other/__init__.py | 68 | Python |
from storage_bucket.bucket import get_bucket
from storage_bucket.client import get_client
from storage_bucket.create import create_bucket
from storage_bucket.delete import delete_bucket
from storage_bucket.delete_file import delete_file
from storage_bucket.download_file import download_file
from storage_bucket.list imp... | 29.869565 | 63 | 0.79476 | [
"MIT"
] | thomasborgen/storage-bucket | storage_bucket/__init__.py | 687 | Python |
import os
from dataclasses import dataclass
from tequila import TequilaException, BitString, TequilaWarning
from tequila.hamiltonian import QubitHamiltonian
from tequila.wavefunction import QubitWaveFunction
from tequila.hamiltonian.paulis import Sp, Sm, Qp, Qm
from tequila.circuit import QCircuit, gates, _gates_impl
... | 41.208475 | 255 | 0.553811 | [
"MIT"
] | CopperHu/tequila | src/tequila/quantumchemistry/qc_base.py | 84,601 | Python |
#!/usr/bin/env python
#
# svnadmin_tests.py: testing the 'svnadmin' tool.
#
# Subversion is a tool for revision control.
# See http://subversion.apache.org for more information.
#
# ====================================================================
# Licensed to the Apache Software Foundation (ASF) under one
#... | 39.335353 | 118 | 0.561419 | [
"Apache-2.0"
] | auycro/subversion | subversion/tests/cmdline/svnadmin_tests.py | 162,337 | Python |
# -*- coding: utf-8 -*-
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
# -- General configuration ------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extens... | 33.621118 | 324 | 0.689082 | [
"MIT"
] | FoamyGuy/Adafruit_CircuitPython_MPU6050 | docs/conf.py | 5,413 | Python |
#!/usr/bin/env python3
def selection_sort(lst):
length = len(lst)
for i in range(length - 1):
least = i
for k in range(i + 1, length):
if lst[k] < lst[least]:
least = k
lst[least], lst[i] = (lst[i], lst[least])
return lst
print(selection_sort([5, 2, 4, ... | 23.571429 | 49 | 0.512121 | [
"MIT"
] | udohsolomon/LearnAlgorithms | sort/selection_sort.py | 330 | Python |
from setuptools import setup, find_packages
setup(
name='spot',
version='0.1',
packages=find_packages(),
include_package_data=True,
author="Steven Feltner",
author_email="steven.feltner@spot.io",
license="MIT",
install_requires=[
"Click",
"spotinst-sdk2",
"reques... | 21.65 | 43 | 0.6097 | [
"Apache-2.0"
] | stevenfeltner/terraform-spotinst-data-get-accountid | scripts/setup.py | 433 | Python |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 40.732558 | 88 | 0.714673 | [
"Apache-2.0"
] | AlexanderSaydakov/impala | tests/custom_cluster/test_web_pages.py | 7,006 | Python |
import torch
import torch.nn as nn
import torch.nn.functional as F
class MLP(nn.Module):
def __init__(self, dims, multiplxer=4):
super(MLP, self).__init__()
hidden = int(dims * multiplxer)
self.out = nn.Sequential(
nn.Linear(dims, hidden),
nn.GELU(),
nn... | 28.698565 | 94 | 0.589196 | [
"MIT"
] | leaderj1001/Bag-of-MLP | model.py | 5,998 | Python |
import time
from datetime import datetime, timedelta
from urllib.parse import urljoin
import requests
from bs4 import BeautifulSoup
from flask.views import MethodView
from config.setting import BOT_TOKEN
from models import User
hitcon_zeroday_base_url = "https://zeroday.hitcon.org"
hitcon_zeroday_all_url = "https://... | 34.880435 | 144 | 0.642879 | [
"MIT"
] | zondaTW/gcp-tg-bot | apps/hitcon_zeroday.py | 3,221 | Python |
"""Module containing methods that allow to identify task goals."""
# Copyright (c) 2022, ABB
# All rights reserved.
#
# 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 t... | 34.329787 | 96 | 0.721103 | [
"BSD-3-Clause"
] | matiov/disambiguate-BT-execution | bt_learning/bt_learning/learning_from_demo/goal_identification.py | 3,227 | Python |
#!/usr/bin/env python
import sys
from loginas import __version__
assert sys.version >= "3.4", "Requires Python v3.4 or above."
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name="django-loginas",
version=__version__,
author="Stochastic Technologie... | 26.633333 | 93 | 0.707134 | [
"BSD-3-Clause"
] | pacahon/django-loginas | setup.py | 799 | Python |
import json
import crawlKoreaData_All as crawl1
import crawlKoreaData_Gyeonggi as crawl2
import crawlKoreaData_Seoul as crawl3
import LED_Display as LMD
import threading
from datetime import date, timedelta
import datetime
from matrix import *
today = date.today()
oneday = datetime.timedelta(days=1)
yester... | 36.497817 | 119 | 0.47978 | [
"Apache-2.0"
] | ekqls3301/osscap2020 | crawling_update(LED)/main_s.py | 17,292 | Python |
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Xinlei Chen
# --------------------------------------------------------
"""Compute minibatch blobs for training a Fast R-CNN ne... | 35.23622 | 128 | 0.654972 | [
"MIT"
] | wennieWN/endernewton_tf-faster-rcnn | lib/roi_data_layer/minibatch.py | 4,553 | Python |
# This Python file uses the following encoding: utf-8
"""autogenerated by genpy from drive_ros_msgs/mav_cc16_IMU.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import geometry_msgs.msg
import std_msgs.msg
class mav_cc16_IMU(genpy.Message):
_md5sum... | 36.377119 | 165 | 0.646942 | [
"MIT"
] | jessecha/OPCAS | Catkin_PKG_Car/devel/lib/python2.7/dist-packages/drive_ros_msgs/msg/_mav_cc16_IMU.py | 8,585 | Python |
# Copyright 2018-2019 The glTF-Blender-IO authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 43.466292 | 131 | 0.769937 | [
"Apache-2.0"
] | VitusW42/glTF-Blender-IO | addons/io_scene_gltf2/blender/exp/gltf2_blender_gather_materials_pbr_metallic_roughness.py | 7,737 | Python |
"""A setuptools based setup module.
See:
https://packaging.python.org/guides/distributing-packages-using-setuptools/
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages, Extension
from os import path
# io.open is needed for projects that suppo... | 42.616438 | 98 | 0.68531 | [
"MIT"
] | michalsta/mocos_helper | setup.py | 9,336 | Python |
import os
import pdb
import sys
import tempfile
sys.path.append("/opt/tosca")
from translator.toscalib.tosca_template import ToscaTemplate
from core.models import Instance,User,Network,NetworkTemplate,Port
from xosresource import XOSResource
class XOSPort(XOSResource):
provides = ["tosca.nodes.network.Port"]
... | 30.66129 | 127 | 0.662809 | [
"Apache-2.0"
] | xmaruto/mcord | xos/tosca/resources/port.py | 1,901 | Python |
"""User defaults
Revision ID: 30b25dd39af0
Revises: 46b85e11f48f
Create Date: 2015-02-12 15:34:59.515740
"""
# revision identifiers, used by Alembic.
revision = '30b25dd39af0'
down_revision = '46b85e11f48f'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
##... | 23.272727 | 63 | 0.657552 | [
"Apache-2.0"
] | Lunga001/pmg-cms-2 | migrations/versions/30b25dd39af0_user_defaults.py | 768 | Python |
numbers = input().split(', ')
numbers_list = list(map(int, numbers))
even_list = []
for i in range (len(numbers_list)):
if numbers_list[i] % 2 == 0:
even_list.append(i)
print(even_list)
# found_indices = map(lambda x: x if numbers_list[x] % 2 == 0 else 'no', range(len(numbers_list)))
# even_indices = list... | 29.769231 | 98 | 0.664083 | [
"MIT"
] | GYosifov88/Python-Fundamentals | even_numbers_list_advanced.py | 387 | Python |
import os
from django.conf import settings
DOCUMENT_SIGNATURE_DETACHED_ACTION_CLASS_PATH = 'mayan.apps.document_signatures.workflow_actions.DocumentSignatureDetachedAction'
DOCUMENT_SIGNATURE_EMBEDDED_ACTION_CLASS_PATH = 'mayan.apps.document_signatures.workflow_actions.DocumentSignatureEmbeddedAction'
TEST_SIGNED_DOC... | 42.5 | 129 | 0.816176 | [
"Apache-2.0"
] | DRCIT/Mayan-EDMS | mayan/apps/document_signatures/tests/literals.py | 680 | Python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.KbdishMaterialInfo import KbdishMaterialInfo
class KoubeiCateringDishMaterialDeleteResponse(AlipayResponse):
def __init__(self):
super(KoubeiCateringDish... | 35.633333 | 113 | 0.755847 | [
"Apache-2.0"
] | Anning01/alipay-sdk-python-all | alipay/aop/api/response/KoubeiCateringDishMaterialDeleteResponse.py | 1,069 | Python |
import unittest
def suite():
return unittest.TestLoader().discover("garbageday.tests", pattern="*.py")
| 17.666667 | 74 | 0.735849 | [
"MIT"
] | josylad/RoomScout | garbageday/tests/__init__.py | 106 | Python |
from __future__ import print_function
import sys
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import os
import time
# Options for mode 'lower_level'
MODE = 'S-4mu_WigD'
label_size = 28
#################################################################################################... | 53.980583 | 816 | 0.495594 | [
"MIT"
] | weissercn/learningml | learningml/GoF/analysis/S-4mu/plot_S-4mu_updated10_alphaSvalue_analysis.py | 11,120 | Python |
try:
from os import system
from os.path import isdir,isfile
from time import sleep
from npc import NPC
from tutorial import text
import pack
import sys
from requests import get
if not isfile('./config'):
open('config','w').write('firmware: https://raw.githubusercontent.com/miko1112/comp9/main/fir... | 32.24 | 118 | 0.602269 | [
"MIT"
] | miko1112/comp9 | core.py | 5,642 | Python |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
from torchvision import models
import numpy as np
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
... | 42.122642 | 118 | 0.608585 | [
"MIT"
] | bhavyashahh/SieveNet | gmm.py | 13,395 | Python |
from django.shortcuts import render
from django.urls import reverse_lazy
from django.views import generic
from django.contrib.auth.forms import UserCreationForm
from .models import Hall
def home(request):
return render(request, 'halls/home.html')
class SignUp(generic.CreateView):
form_class = UserCr... | 29.7 | 55 | 0.737374 | [
"MIT"
] | MsNahid/Youtube-Hall | halls/views.py | 594 | Python |
'''
Created on Sep 3, 2012
@author: Daniel J. Rivers
'''
from DataAccess.TableData import TableData
from DataAccess.TableHandler import TableHandler
class EpisodeHandler( TableHandler ):
pass
class Episode( TableData ):
def __init__( self ):
self.columnNames = [ ( "SEASON_ID", "INTEGE... | 25.388889 | 127 | 0.619256 | [
"MIT"
] | ErebusMaligan/python | FileInventory/DataAccess/Tables/EpisodeHandler.py | 457 | Python |
import mmdet2trt.ops.util_ops as mm2trt_util
import torch
from mmdet2trt.models.builder import register_wraper
from mmdet2trt.models.dense_heads.anchor_free_head import AnchorFreeHeadWraper
@register_wraper('mmdet.models.FoveaHead')
class FoveaHeadWraper(AnchorFreeHeadWraper):
def __init__(self, module):
... | 44.05 | 79 | 0.574915 | [
"Apache-2.0"
] | daavoo/mmdetection-to-tensorrt | mmdet2trt/models/dense_heads/fovea_head.py | 3,524 | Python |
from ._version import version_info, __version__ | 47 | 47 | 0.87234 | [
"Apache-2.0"
] | IKNL/VANTAGE6 | vantage6/cli/__init__.py | 47 | Python |
from django.conf.urls import url
from django.conf.urls import patterns
from events import views
urlpatterns = patterns('',
# Events
url(r'^microcosms/(?P<microcosm_id>\d+)/create/event/$', views.create, name='create-event'),
url(r'^events/(?P<event_id>\d+)/$', views.single, name='single-event'),
url(r... | 43.736842 | 96 | 0.645006 | [
"MIT"
] | microcosm-cc/microweb | events/urls.py | 831 | Python |
# py-motmetrics - Metrics for multiple object tracker (MOT) benchmarking.
# https://github.com/cheind/py-motmetrics/
#
# MIT License
# Copyright (c) 2017-2020 Christoph Heindl, Jack Valmadre and others.
# See LICENSE file for terms.
"""Tests behavior of MOTAccumulator."""
from __future__ import absolute_import
from _... | 47.284946 | 109 | 0.532234 | [
"MIT"
] | Borda/py-motmetrics | motmetrics/tests/test_mot.py | 8,795 | Python |
from django.db import models
from django.utils import timezone
from django.db.models import Sum
#from cycle_2018.models import ScheduleA
import datetime
class BaseModel(models.Model):
active = models.BooleanField(default=True)
created = models.DateTimeField(default=timezone.now)
updated = models.DateTimeF... | 38.675676 | 148 | 0.739343 | [
"Apache-2.0"
] | capitolmuckrakr/cnn-fec | donor/models.py | 1,431 | Python |
# exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU', 'C3pro'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', '... | 95.138889 | 798 | 0.804136 | [
"MIT"
] | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | flux_combined_high_binding/model_792.py | 20,550 | Python |
from project.customer import Customer
from project.equipment import Equipment
from project.exercise_plan import ExercisePlan
from project.subscription import Subscription
from project.trainer import Trainer
class Gym:
def __init__(self):
self.customers = []
self.trainers = []
self.equipmen... | 31.78125 | 59 | 0.590462 | [
"MIT"
] | bvoytash/Software-University | Python OOP/Class and Static Methods/Gym/gym.py | 2,034 | Python |
import os
import sys
DIET_IN="""
option display_precision 0;
model diet.mod;
param dname symbolic := "amplxl";
param fname symbolic := "#1#";
table Amounts IN (dname) (fname):
[NUTR,FOOD], amt;
table Foods IN (dname) (fname):
FOOD <- [FOOD], cost, f_min, f_max;
table Nutrients IN (dname) (fname):
NUTR <-... | 22.358779 | 91 | 0.643906 | [
"BSD-3-Clause"
] | Seanpm2001-AMPL-lang/plugins | src/amplxl/tests/generate.py | 5,858 | Python |
import json
import re
import logging as log
from .helpers import path_leaf
regexes = {
"bp_processed": "Total basepairs processed:\s*([\d,]+) bp",
"bp_written": "Total written \(filtered\):\s*([\d,]+) bp",
"quality_trimmed": "Quality-trimmed:\s*([\d,]+) bp",
"r_processed": "Total reads processed:\s*([\... | 35.904255 | 88 | 0.502815 | [
"BSD-3-Clause"
] | saketkc/riboraptor | riboraptor/cutadapt_to_json.py | 3,375 | Python |
"""
The ``mlflow.keras`` module provides an API for logging and loading Keras models. This module
exports Keras models with the following flavors:
Keras (native) format
This is the main flavor that can be loaded back into Keras.
:py:mod:`mlflow.pyfunc`
Produced for use by generic pyfunc-based deployment tools ... | 47.465331 | 100 | 0.636845 | [
"Apache-2.0"
] | AnesBenmerzoug/mlflow | mlflow/keras.py | 30,805 | Python |
from django import forms
from django.forms import ModelForm
from .models import FoodHomePageModel,FullMenuPageModel
class FoodHomeForm(forms.ModelForm):
class Meta:
model = FoodHomePageModel
exclude = ("company",'status',)
class FoodMenuForm(forms.ModelForm):
class ... | 23.470588 | 55 | 0.66416 | [
"MIT"
] | CPU-sangoma/PlentyPot | FoodStore/forms.py | 399 | Python |
import cv2
import numpy as np
from sklearn.cluster import DBSCAN as skDBSCAN
def DBSCAN(src, eps, min_samples):
arr = cv2.cvtColor(src, cv2.COLOR_BGR2LAB).reshape(-1, src.shape[2])
clustering = skDBSCAN(eps=eps, min_samples=min_samples).fit(arr)
labels = clustering.labels_ + 1
maps = labels.reshape(sr... | 31.291667 | 72 | 0.653795 | [
"Apache-2.0"
] | 076923/cv2-utils | cv2u/core/cluster.py | 751 | Python |
from setuptools import setup, find_packages
setup(
name='src',
version='0.0.1',
packages=find_packages(),
) | 17.142857 | 43 | 0.675 | [
"Apache-2.0"
] | YohannaWANG/CS5242_Project | src/setup.py | 120 | Python |
class MolecularDescriptorsEnum:
HEAVY_ATOM_COUNT = "heavy_atom_count"
MOLECULAR_WEIGHT = "molecular_weight"
CLOGP = "clogp"
HYDROGEN_BOND_DONORS = "hydrogen_bond_donors"
HYDROGEN_BOND_ACCEPTORS = "hydrogen_bond_acceptors"
ROTATABLE_BONDS = "rotatable_bonds"
RING_COUNT = "ring_count"
| 26.25 | 55 | 0.75873 | [
"MIT"
] | MolecularAI/reinvent-chemistry | reinvent_chemistry/library_design/enums/molecular_descriptors_enum.py | 315 | Python |
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class Armadillo(CMakePackage):
"""Armadillo is a high quality linear algebra library (ma... | 36.698413 | 79 | 0.637976 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | PDoakORNL/spack | var/spack/repos/tutorial/packages/armadillo/package.py | 2,312 | Python |
import base64
def display_skills(skills):
result = []
for skill in skills:
base = f'''<img width ='22px' align='left' src ='{'https://raw.githubusercontent.com/rahulbanerjee26/githubAboutMeGenerator/main/icons/'+skill+'.svg'}'>'''
result.append(base)
return '\n'.join(result)
def display_so... | 43.12 | 235 | 0.678108 | [
"MIT"
] | saminul/githubProfileReadmeGenerator | helpers.py | 4,335 | Python |
# coding: utf-8
import pprint
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
class UpdateLoadBalancerResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map... | 27.632353 | 81 | 0.581692 | [
"Apache-2.0"
] | JeffreyDin/huaweicloud-sdk-python-v3 | huaweicloud-sdk-elb/huaweicloudsdkelb/v3/model/update_load_balancer_response.py | 3,798 | Python |
#!/usr/bin/env python3
#
# Extract a CSV of findings for a particular bucket
#
import boto3
from botocore.exceptions import ClientError
import json
import os
import time
import csv
from time import sleep
from datetime import datetime
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
logging.... | 41.446009 | 192 | 0.57295 | [
"Apache-2.0"
] | jchrisfarris/aws-macie-automations | scripts/extract_findings_to_csv.py | 8,828 | Python |
import pytest
from uyaml import Yaml
from report.workflow.settings import (
ConfluenceSettings,
Settings,
_Credentials,
_Page,
_UnifiedSettings,
)
from tests.fake import SECTION
@pytest.fixture()
def credentials() -> _Credentials:
return _Credentials('foo', 'bar')
@pytest.fixture()
def page(... | 23.947368 | 78 | 0.727473 | [
"MIT"
] | vyahello/pytest-confluence-report | tests/test_settings.py | 2,275 | Python |
def sub1(a,b):
c = a-b
return c
def divide1(a,b):
c = a/b
return c | 11.142857 | 18 | 0.525641 | [
"MIT"
] | JaysreeBora/Learn-Python-in-7-Days | Chapter08/module2.py | 78 | Python |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.