max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
src/alertas/alerta_prcr.py | MinisterioPublicoRJ/Alertas | 2 | 12764251 | <gh_stars>1-10
#-*-coding:utf-8-*-
from pyspark.sql.types import IntegerType, TimestampType
from pyspark.sql.functions import *
from base import spark
from utils import uuidsha
columns = [
col('docu_dk').alias('alrt_docu_dk'),
col('docu_nr_mp').alias('alrt_docu_nr_mp'),
col('docu_orgi_orga_dk_responsavel... | 2.359375 | 2 |
tests/generators/ios/test_ios_template_methods.py | brianleungwh/signals | 3 | 12764252 | import unittest
from signals.generators.ios.ios_template_methods import iOSTemplateMethods
from signals.parser.fields import Field
from signals.parser.api import GetAPI, API, PatchAPI
from tests.utils import create_dynamic_schema
class iOSTemplateMethodsTestCase(unittest.TestCase):
def test_get_url_name(self):
... | 2.484375 | 2 |
calf/logging.py | brutasse/calf | 2 | 12764253 | <filename>calf/logging.py
import json
import syslog
levels = {level: getattr(syslog, 'LOG_{}'.format(level.upper()))
for level in ['emerg', 'alert', 'crit', 'err', 'warning', 'notice',
'info', 'debug']}
log_level = levels['info']
def set_level(level):
global log_level
log_l... | 2.265625 | 2 |
pgv_example.py | MelyPic/labgaif | 0 | 12764254 | <filename>pgv_example.py
from itertools import product
import pygraphviz as pgv
d = pgv.AGraph(compound = "True") # compound allows for edge clipping at clusters
d.add_edges_from(product('ABCD', 'FGH'))
d.add_subgraph(nbunch = 'BC', name = 'clusterBC', style = 'filled', color = 'yellow')
d.add_node('X')
d.add_edge('X'... | 3 | 3 |
modules/__init__.py | tinnguyen96/partition-coupling | 0 | 12764255 | # todos
# add a compress function (triple Mode can create over 1000 files in a directory, which
# put strain on Supercloud). | 1.070313 | 1 |
examples/single_objective/test_1/ea_config_ex_1.py | gmonterovillar/HAMON | 4 | 12764256 | <reponame>gmonterovillar/HAMON
##============================ ea_config_ex_1.py ================================
# Some of the input parameters and options in order to select the settings of the
# evolutionary algorithm are given here for the minimization of the De Jong’s fifth
# function or Shekel’s foxholes using Ge... | 1.835938 | 2 |
pre-commit.py | nim65s/scripts | 1 | 12764257 | <gh_stars>1-10
#!/usr/bin/env python3
from subprocess import check_output
from sys import exit
from flake8.main import application, git
from isort import SortImports
def hook(lazy=False, strict=False):
"""Execute Flake8 on the files in git's index.
Determine which files are about to be committed and run Fl... | 2.28125 | 2 |
great_expectations/datasource/generator/filesystem_path_generator.py | scarrucciu/great_expectations | 0 | 12764258 | <gh_stars>0
import os
import time
import glob
from great_expectations.datasource.generator.batch_generator import BatchGenerator
from great_expectations.exceptions import BatchKwargsError
KNOWN_EXTENSIONS = ['.csv', '.tsv', '.parquet', '.xls', '.xlsx', '.json']
class GlobReaderGenerator(BatchGenerator):
def __i... | 2.171875 | 2 |
modules/viewers/histogram1D.py | chrisidefix/devide | 25 | 12764259 | <filename>modules/viewers/histogram1D.py
from external import wxPyPlot
import gen_utils
from module_base import ModuleBase
from module_mixins import IntrospectModuleMixin
import module_utils
try:
import Numeric
except:
import numarray as Numeric
import vtk
import wx
class histogram1D(IntrospectModuleMixi... | 2.453125 | 2 |
model_short.py | evantey14/glow | 0 | 12764260 | import numpy as np
import tensorflow as tf
import tfops_short as Z
class model:
def __init__(self, sess, hps, train_iterator, data_init):
# === Define session
self.sess = sess
self.hps = hps
# === Input tensors
with tf.name_scope('input'):
s_shape = [None, hps.... | 2.265625 | 2 |
noggin/security/ipa_admin.py | mohanboddu/noggin | 0 | 12764261 | import random
from functools import wraps
from .ipa import Client
class IPAAdmin(object):
__WRAPPED_METHODS = ("user_add", "user_show", "user_mod", "group_add_member")
__WRAPPED_METHODS_TESTING = (
"user_del",
"group_add",
"group_del",
"group_add_member_manager",
"pwp... | 2.3125 | 2 |
LEO_calc_coating_from_meas_scat_amp_and_write_to_db.py | annahs/atmos_research | 2 | 12764262 | <filename>LEO_calc_coating_from_meas_scat_amp_and_write_to_db.py
import sys
import os
import datetime
import pickle
import numpy as np
import matplotlib.pyplot as plt
from pprint import pprint
import sqlite3
import calendar
from datetime import datetime
#id INTEGER PRIMARY KEY AUTOINCREMENT,
#sp2b_file TEXT,
#file_in... | 2.15625 | 2 |
scripts/gaze/object_tracking.py | isi-vista/adam-visual-perception | 1 | 12764263 | """ Test Object Tracking
This script receives a .tsv file as input which has already been labelled
and runs the four selected objects tracking algorithm on all videos.
The target object that is being gazed at by the person is presented in blue.
Parameters
----------
tsv_path : str, optional
Path to tsv file conta... | 2.703125 | 3 |
push_deployment.py | eyalatox/Tableau-dummy | 0 | 12764264 | import os
def validate_helm_chart(helm_chart):
os.system(f'helm lint {helm_chart}') | 1.585938 | 2 |
plugins/pelican-plugins/pelicanfly/pelicanfly/tests/test_pelicanfly.py | dbgriffith01/blog_source | 0 | 12764265 | # -*- coding: utf-8 -*-
import os
from shutil import rmtree
from tempfile import mkdtemp
import unittest
from pelican import Pelican
from pelican.settings import read_settings
from pelican.tests.support import mute
from fontawesome_markdown import FontAwesomeExtension
import pelicanfly
CURRENT_DIR = os.path.dirname(... | 2.15625 | 2 |
test.py | tetzng/the-beatles-member-classifier | 0 | 12764266 | <reponame>tetzng/the-beatles-member-classifier
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import cv2
import random
import numpy as np
import tensorflow as tf
NUM_CLASSES = 4
IMAGE_SIZE = 28
IMAGE_PIXELS = IMAGE_SIZE*IMAGE_SIZE*3
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('train', './da... | 2.625 | 3 |
cax/tasks/process_hax.py | XENON1T/cax | 2 | 12764267 | <filename>cax/tasks/process_hax.py
"""Process raw data into processed data
Performs batch queue operations to run pax.
"""
import sys
import os
import pax
import hax
from cax import qsub, config
from cax.task import Task
def init_hax(in_location, pax_version, out_location):
hax.init(experiment='XENON1T',
... | 2.453125 | 2 |
src/setup.py | w0bos/onifw | 6 | 12764268 | #!/usr/bin/env python
from distutils.core import setup
setup(
name="onifw",
version="1.13",
description="pentest framework",
author="w0bos",
author_email="<EMAIL>",
packages=["packaging"]
)
| 0.828125 | 1 |
helper/degree_ratio.py | raindroid/GoldMiner-Verilog | 2 | 12764269 | from math import *
if __name__ == "__main__":
print("""
//To access data (signX[degree/2] ? -1 : 1) * absX[degree / 2 * 10 + 9 : degree / 2 * 10] / 100
module trigonometry(
input clock, enable,
output [1799: 0] absX, absY,
output [179:0] signX, signY
);
wire [1799: 0] rx, ry;
wire [180:0] rsx, rsy;
a... | 3.40625 | 3 |
cobs/examples/add_occupancy_example.py | odtoolkit/COBS | 0 | 12764270 | """
This is an example of how to add the occupancy into the model.
"""
from cobs import Model
Model.set_energyplus_folder("D:\\Software\\EnergyPlus\\")
mode = 1
model = Model(idf_file_name="../data/buildings/5ZoneAirCooled.idf",
weather_file="../data/weathers/USA_IL_Chicago-OHare.Intl.AP.725300_TMY3.e... | 2.46875 | 2 |
normalizer.py | stackdumper/wot-vehicles-classifier | 0 | 12764271 | <reponame>stackdumper/wot-vehicles-classifier
# normalize data 0-1
def normalize(data):
normalized = []
for i in range(len(data[0])):
col_min = min([item[i] for item in data])
col_max = max([item[i] for item in data])
for q, item in enumerate([item[i] for item in data]):
... | 2.828125 | 3 |
open_spiel/python/examples/cfr_ma_autobattler_meta.py | opcheese/open_spiel | 0 | 12764272 | <gh_stars>0
# Copyright 2019 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 1.976563 | 2 |
utils/parse_rose_total.py | JMB-McFarlane/SLICE | 0 | 12764273 | import subprocess
import os
import random
import math
scores = []
frame = []
workingdir = str(os.getcwd())
for file in os.listdir(workingdir):
mod = -1
if os.path.isdir(file) == True:
subdir = workingdir +'/'+ file + "/PROD/"
print subdir
os.popen("cd " + subdir)
subprocess.cal... | 2.4375 | 2 |
2_conditional_experiments/03_baseline_with_labels/fid_graph.py | Florian-Barthel/stylegan2 | 0 | 12764274 | <gh_stars>0
from graphs.fid_graph import plot_multiple_runs
plot_multiple_runs(
run_paths=[
'./../results/00184-stylegan2-car_images_512-2gpu-baseline_without_labels',
'./../results/00121-stylegan2-cars_v5_512-2gpu-baseline'
],
descriptions=[
'Baseline without Labels',
'Bas... | 1.835938 | 2 |
transmission_tui/tms_app.py | ironsigma/transmission-tui | 0 | 12764275 | <filename>transmission_tui/tms_app.py<gh_stars>0
"""The Transmission text based user interface application module."""
import curses
import logging
import time
from .daemon import TransmissionDaemon
from .logging_config import config_logging
from .transfer_list import TransferList
class TransmissionApp():
"""The... | 2.453125 | 2 |
hiku/expr/refs.py | brabadu/hiku | 58 | 12764276 | from ..query import Node, Link, Field, merge
from ..types import GenericMeta, RecordMeta, SequenceMeta, MappingMeta
from ..types import OptionalMeta, get_type
from .nodes import NodeVisitor
# TODO: revisit this
_CONTAINER_TYPES = (
OptionalMeta,
SequenceMeta,
MappingMeta,
RecordMeta,
)
class Ref:
... | 2.25 | 2 |
pype/hosts/hiero/__init__.py | Yowza-Animation/pype | 0 | 12764277 | <gh_stars>0
import os
from pype.api import Logger
from avalon import api as avalon
from pyblish import api as pyblish
from pype import PLUGINS_DIR
from .workio import (
open_file,
save_file,
current_file,
has_unsaved_changes,
file_extensions,
work_root
)
from .menu import (
install as menu... | 1.960938 | 2 |
generate.py | priyavrat-misra/scifi-lorem | 0 | 12764278 | <gh_stars>0
import torch
import argparse
import pyperclip
from network import CharRNN
from infer_utils import sample
parser = argparse.ArgumentParser(
prog='SciFi Lorem',
description='generate random *meaningful* sci-fi text'
)
parser.add_argument('-S', '--save_path', type=str, metavar='',
... | 2.5 | 2 |
notes/algo-ds-practice/problems/list/copy_list_random_pointer.py | Anmol-Singh-Jaggi/interview-notes | 6 | 12764279 | '''
You are given a linked list with one pointer of each node pointing to the next node just like the usual.
Every node, however, also has a second pointer that can point to any node in the list.
Now write a program to deep copy this list.
Solution 1:
First backup all the nodes' next pointers node to another array.
n... | 4.125 | 4 |
Botnets/SquidNet.py | Egida/Ethical-Hacking-Scripts | 29 | 12764280 | <reponame>Egida/Ethical-Hacking-Scripts
import random, socket, time, sys, threading, random, os, hashlib, datetime, sqlite3
try:
"""This Module comes with Paramiko."""
from cryptography.fernet import Fernet
except:
pass
from optparse import OptionParser
"""This script is NOT Perfected(Still a WIP)! N... | 2.4375 | 2 |
lib/database.py | Huyu2239/GChub | 6 | 12764281 | <reponame>Huyu2239/GChub<filename>lib/database.py
import asyncpg
from typing import Any, List, Optional
from dataclasses import dataclass
import os
@dataclass
class Gchat:
"""Class for global chat data."""
gchat_id: str
owner_id: int
style: int
color_code: int
password: str
@dataclass
class ... | 2.75 | 3 |
migrations/versions/216378370ae4_third_migration.py | wanjikuciku/Blog | 0 | 12764282 | <gh_stars>0
"""Third Migration
Revision ID: 216378370ae4
Revises: <PASSWORD>
Create Date: 2019-02-19 05:51:40.716914
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '216378370ae4'
down_revision = '<PASSWORD>'
branch_lab... | 1.398438 | 1 |
backend/web/app.py | d2hydro/hydrobase | 0 | 12764283 | <gh_stars>0
"""Äpp of HydroBase API."""
from typing import List
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse, StreamingResponse
from pydantic import BaseModel
import zipfile
import json
try:
from .config import STATIC, DATA, __title__,... | 2.34375 | 2 |
src/python/pants/java/nailgun_executor.py | WamBamBoozle/pants | 0 | 12764284 | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import hashlib
impor... | 2.140625 | 2 |
websocketpp/conanfile.py | kapilsh/conan-scripts | 0 | 12764285 | from conans import ConanFile, CMake
from conans.tools import unzip, download
import os
import shutil
class WebsocketppConan(ConanFile):
name = "websocketpp"
boost_version = "1.68.0"
openssl_version = "1.1.1"
zlib_version = "1.2.11"
with open(os.path.join(os.path.dirname(os.path.realpath(
... | 2.109375 | 2 |
spikeextractors/extractors/mdaextractors/__init__.py | zekearneodo/spikeextractors | 145 | 12764286 | from .mdaextractors import MdaRecordingExtractor, MdaSortingExtractor
| 1.070313 | 1 |
release/stubs.min/Rhino/DocObjects/__init___parts/PointCloudObject.py | htlcnn/ironpython-stubs | 182 | 12764287 | <reponame>htlcnn/ironpython-stubs<filename>release/stubs.min/Rhino/DocObjects/__init___parts/PointCloudObject.py
class PointCloudObject(RhinoObject):
# no doc
def DuplicatePointCloudGeometry(self):
""" DuplicatePointCloudGeometry(self: PointCloudObject) -> PointCloud """
pass
PointCloudGeometry=property(lam... | 1.75 | 2 |
Chapter_1_Introduction/Easy_Problems/kattis_lineup.py | BrandonTang89/CP4_Code | 2 | 12764288 | '''
Kattis - lineup
Compare list with the sorted version of the list.
Time: O(n log n), Space: O(n)
'''
n = int(input())
arr = [input() for _ in range(n)]
if arr == sorted(arr):
print("INCREASING")
elif arr == sorted(arr, reverse=True):
print("DECREASING")
else:
print("NEITHER") | 3.984375 | 4 |
src/data/clean_raw_data.py | ereidelbach/pubg | 1 | 12764289 | #!/usr/bin/env python3.7
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 4 15:45:33 2019
@author: ejreidelbach
:DESCRIPTION:
:REQUIRES:
:TODO:
"""
#==============================================================================
# Package Import
#==================================================================... | 2.09375 | 2 |
mtp_noms_ops/urls.py | ministryofjustice/money-to-prisoners-noms-ops | 3 | 12764290 | from django.conf import settings
from django.conf.urls import include, url
from django.conf.urls.i18n import i18n_patterns
from django.http import HttpResponse
from django.shortcuts import redirect
from django.template.response import TemplateResponse
from django.urls import reverse, reverse_lazy
from django.utils.tran... | 1.90625 | 2 |
pinpoint/VideoReader.py | varma88/pinpoint | 6 | 12764291 | #! /usr/bin/env python
"""
Copyright 2015-2018 <NAME> <<EMAIL>>
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... | 2.796875 | 3 |
chess/__init__.py | Jonxslays/Chess | 1 | 12764292 | """Chess..."""
__all__ = ["Game"]
__version__ = "0.1.0"
__author__ = "Jonxslays"
from .game import Game
| 1.109375 | 1 |
setup.py | rpavlik/edid-json-tools | 2 | 12764293 | #!/usr/bin/env python3
# Copyright (c) 2019-2021 The EDID JSON Tools authors. All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
# We need this stub of a script to be able to handle `pip install --editable .`
import setuptools
setuptools.setup()
| 1.09375 | 1 |
anomalydetection.py | RxstydnR/LEA-Net | 0 | 12764294 | <reponame>RxstydnR/LEA-Net
import os
import warnings
warnings.simplefilter('ignore')
# os.environ["CUDA_VISIBLE_DEVICES"] = "4"
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import gc
import argparse
import numpy as np
import pandas as pd
from sklearn.metrics import classification_report,confusion_matrix,f1_score
import t... | 2.203125 | 2 |
tool/runners/cython_aoc-setup.py | TPXP/adventofcode-2019 | 8 | 12764295 | import os
import sys
from distutils.core import setup
from Cython.Build import cythonize
CYTHON_DEBUG = bool(os.getenv('CYTHON_DEBUG', ''))
build_dir = sys.argv.pop()
script_name = sys.argv.pop()
setup(
ext_modules=cythonize(
script_name,
build_dir=build_dir,
quiet=not CYTHON_DEBUG,
... | 1.71875 | 2 |
emulator/utils/helpers.py | Harry45/emuPK | 2 | 12764296 | <reponame>Harry45/emuPK
# Author: (Dr to be) <NAME>
# Collaborators: Prof. <NAME>, Prof. <NAME>, Dr. <NAME>
# Email : <EMAIL>
# Affiliation : Imperial Centre for Inference and Cosmology
# Status : Under Development
'''
Important functions to store/load files in a compressed format.
'''
import os
import numpy as np
im... | 3.828125 | 4 |
object_tracking.py | olubiyiontheweb/object_tracking_video | 0 | 12764297 | <gh_stars>0
import dlib
import cv2
import numpy as np
video = cv2.VideoCapture("people.mp4")
if video.isOpened() == False:
print("Error opening video")
check, frame = video.read()
if check == False:
print("Cannot read video")
cv2.imshow("first frame", frame)
cv2.waitKey(0)
bbox = cv2.sele... | 2.9375 | 3 |
core/vtuber.py | zihochann/zihou | 0 | 12764298 | <gh_stars>0
from django.template import loader
from core.models import Vtuber
BILI_PREFIX = 'https://space.bilibili.com/'
def get_bilibili_url(bili_id: str):
return 'https://space.bilibili.com/{}/'.format(bili_id) if len(bili_id) >\
0 else ''... | 2.1875 | 2 |
algorithms/sorting/quick_sort.py | ramarajesh2112/algorithms | 1 | 12764299 | """
quick_sort.py
Implementation of quick sort on a list and returns a sorted list.
Quick Sort Overview:
------------------------
Uses partitioning to recursively divide and sort the list
Time Complexity: O(n**2) worst case
Space Complexity: O(n**2) this version
Stable: No
Psue... | 3.984375 | 4 |
galaxy_common/models/namespace.py | alikins/galaxy-common-deprecated | 0 | 12764300 | # (c) 2012-2019, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
... | 1.882813 | 2 |
Filters/Modeling/Testing/Python/TestImprintFilter.py | cclauss/VTK | 1,755 | 12764301 | <reponame>cclauss/VTK<gh_stars>1000+
#!/usr/bin/env python
import vtk
# A simpler imprint test. One plane
# imprints a second plane.
# Control the resolution of the test
res = 2
# Create the RenderWindow, Renderer
#
ren = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer( ren )
iren = vtk.vtkRende... | 2.0625 | 2 |
modules/OfficialBERT.py | benywon/ComQA | 15 | 12764302 | <reponame>benywon/ComQA
# -*- coding: utf-8 -*-
"""
@Time : 2021/1/14 下午5:21
@FileName: OfficialBERT.py
@author: 王炳宁
@contact: <EMAIL>
"""
import torch
import torch.nn as nn
from transformers import AutoModel
from torch.nn import functional as F
from utils import load_file
class OfficialBERT(nn.Module):
... | 2.6875 | 3 |
examples/hello_world.py | Popeyef5/Cassandra | 3 | 12764303 | #!/usr/bin/env python3
if __name__ == '__main__':
from cassandra.rockets import RandomRocket
from cassandra.simulation import Simulation
from cassandra.physics.integrators import RK4
SIM_TIME = 8
SIM_TIMESTEP = 0.01
rocket = RandomRocket()
integrator = RK4()
simulation = Simulation(rocket, integrat... | 2.171875 | 2 |
ex056.py | heltonsdl/python-3---curso-em-video | 0 | 12764304 | somaidade = 0
mediaidade = 0
nomehomem = ''
idadehomem = 0
totmulher20 = 0
''' Desenvolva um programa que leia o nome, idade e sexo de 4 pessoas. No final do programa, mostre: a média de idade do grupo, qual é o nome do homem mais velho e quantas mulheres têm menos de 20 anos.'''
for p in range (1,5):
print... | 3.84375 | 4 |
Lab_Dash/dash_plot_SEL_compare.py | SimonSchubotz/Electronic-Laboratory-Notebook | 0 | 12764305 | <reponame>SimonSchubotz/Electronic-Laboratory-Notebook<filename>Lab_Dash/dash_plot_SEL_compare.py
import json
import glob, os
import dash
import datetime
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
from django_plotly_dash... | 2.265625 | 2 |
img_loader.py | hujc7/yolo-v3 | 0 | 12764306 | import os
import random
import torch
# from torch.autograd import Variable
from torchvision import transforms as T
from PIL import Image, ImageDraw, ImageFont
class IMGProcess(object):
def __init__(self, source,
use_cuda=True,
img_path="imgs",
batch_size=100,
... | 2.359375 | 2 |
GooseSLURM/duration.py | tdegeus/slurm-epfl | 0 | 12764307 | import re
def asSeconds(data, default=None):
r"""
Convert string to seconds. The following input is accepted:
* A humanly readable time (e.g. "1d").
* A SLURM time string (e.g. "1-00:00:00").
* A time string (e.g. "24:00:00").
* ``int`` or ``float``: interpreted as seconds.
:argu... | 3.78125 | 4 |
main.py | richard-ma/spider-base-selenium | 0 | 12764308 | #!/usr/bin/env python
import spider_base_selenium
class MySpider(spider_base_selenium.Spider):
def __init__(self):
self.urls = [
'http://www.baidu.com',
'http://www.bing.com',
'http://www.weibo.com',
]
def parse(self, response):
print(response.get_r... | 2.828125 | 3 |
prototype.py | Jhko725/ProteinStructureReconstruction.jl | 0 | 12764309 | <reponame>Jhko725/ProteinStructureReconstruction.jl<gh_stars>0
#%%
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from skimage.io import imread
from skimage.color import rgb2gray
images = list(map(lambda x: np.float32(rgb2gray(imread(x))), ['./Data/SR2_desmin_image.jpg', './Data/SR3_actin_image.... | 2.03125 | 2 |
sdk/python/pulumi_azure_native/servicefabric/v20200101preview/_inputs.py | pulumi-bot/pulumi-azure-native | 31 | 12764310 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 1.71875 | 2 |
T08/ex01.py | mariogarcc/comphy | 0 | 12764311 | from package import redact_ex
from package import solve_explicit_ode
import numpy as np
EXERCISE_01 = """\
Make a program that is able to graphically solve the equation
\u2202T/\u2202t = \u03B1 \u2202\u00B2T/\u2202x\u00B2 = 0 using the Forward in Time, Centered in Space (FTCS)
scheme with Dirichlet boundary conditi... | 3.109375 | 3 |
delft/textClassification/preprocess.py | tantikristanti/delft | 333 | 12764312 | import itertools
import regex as re
import numpy as np
# seed is fixed for reproducibility
np.random.seed(7)
from tensorflow import set_random_seed
set_random_seed(7)
from unidecode import unidecode
from delft.utilities.Tokenizer import tokenizeAndFilterSimple
from delft.utilities.bert.run_classifier_delft import Data... | 2.671875 | 3 |
src/scmodes/benchmark/deconvolution.py | aksarkar/scmodes | 3 | 12764313 | <filename>src/scmodes/benchmark/deconvolution.py
import functools as ft
import numpy as np
import pandas as pd
import rpy2.robjects.packages
import rpy2.robjects.pandas2ri
import scipy.special as sp
import scipy.stats as st
import sklearn.model_selection as skms
import sys
rpy2.robjects.pandas2ri.activate()
def nb_ll... | 2.25 | 2 |
bookorbooks/book/api/urls.py | talhakoylu/SummerInternshipBackend | 1 | 12764314 | <filename>bookorbooks/book/api/urls.py
from book.api.views.book_page_views import BookPagesByBookIdAPIView
from book.api.views.reading_history_views import AddReadingHistoryAPIView, ReadingHistoryByChildAPIView, ReadingHistoryByChildIdAPIView, ReadingHistoryListAllAPIView
from book.api.views import AuthorDetailAPIView,... | 2.203125 | 2 |
AI/face_detector.py | Vahegian/GIANT-ROBOT | 2 | 12764315 | import dlib
if dlib.cuda.get_num_devices()>=1:
print("Enabeling CUDA")
dlib.DLIB_USE_CUDA = True
dlib.USE_AVX_INSTRUCTIONS = True
dlib.DLIB_USE_BLAS, dlib.DLIB_USE_LAPACK, dlib.USE_NEON_INSTRUCTIONS = True, True, True
print(dlib.DLIB_USE_CUDA, dlib.USE_AVX_INSTRUCTIONS, dlib.DLIB_USE_BLAS, dlib.DLIB_USE... | 2.75 | 3 |
django_project/autodidacticism/blog/migrations/0002_papermodel.py | MatthewTe/django_postings_project | 0 | 12764316 | <gh_stars>0
# Generated by Django 3.1.4 on 2020-12-23 20:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='PaperModel',
fields=[
... | 1.84375 | 2 |
react.py | viktorg1/discordpy-scripts | 1 | 12764317 | from discord.ext import commands
bot = commands.Bot(command_prefix=',')
@bot.command()
async def react(ctx, id, emoji):
message = await ctx.fetch_message(id)
await message.add_reaction(emoji)
# Usage: ,react [MESSAGE_ID] [EMOJI] | 2.4375 | 2 |
init_db.py | nccr-itmo/FEDOT.Web | 23 | 12764318 | <filename>init_db.py<gh_stars>10-100
import os
import pymongo
from dotenv import load_dotenv
from app.singletons.db_service import DBServiceSingleton
from init.init_cases import create_default_cases
from init.init_history import create_default_history
from init.init_pipelines import create_default_pipelines
if __nam... | 2.046875 | 2 |
psyneulink/core/llvm/execution.py | bdsinger/PsyNeuLink | 0 | 12764319 | # Princeton University licenses this file to You 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 writin... | 1.773438 | 2 |
coursinary_app/migrations/0009_auto_20200510_0741.py | ranybal17/Coursinary | 0 | 12764320 | <reponame>ranybal17/Coursinary<gh_stars>0
# Generated by Django 3.0.6 on 2020-05-10 07:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coursinary_app', '0008_auto_20200510_0739'),
]
operations = [
migrations.AlterField(
m... | 1.640625 | 2 |
offline_train.py | nivedithaparthasarathy50/mudrarecognitionDec242021 | 0 | 12764321 | import cv2
import argparse
import os
data={"label_name":[],"no_of_video":[], "overall_fps":[]}
def TrainingVideoFiles(video_location, video_name):
files = [f for f in os.listdir(video_location)]
data['label_name'].append(video_name)
data['no_of_video'].append(len(files))
fps=0
try:
os... | 2.59375 | 3 |
app/providers/cloze.py | nerevu/rorschach | 0 | 12764322 | <filename>app/providers/cloze.py<gh_stars>0
# -*- coding: utf-8 -*-
""" app.api
~~~~~~~~~~~~
Provides endpoints for pulling orders from OpenCart (pricecloser.com) into Cloze.
Live Site:
Endpoints:
Visit the live site for a list of all available endpoints
"""
import json
import os
import time
from datetime import... | 2.09375 | 2 |
tests/pysphinx_autoindex/data/input/test-project/tests/test_class.py | suburbanmtman/pysphinx-autoindex | 1 | 12764323 | <reponame>suburbanmtman/pysphinx-autoindex
# coding=utf-8
def test_method(param):
"""
Should not show up
:param param: any param
:return: None
"""
return None
| 1.945313 | 2 |
utils.py | Leaniz/gordologo | 1 | 12764324 | from unidecode import unidecode
def compare_name(name_1, name_2):
name_1 = unidecode(name_1).lower()
name_2 = unidecode(name_2).lower()
return name_1 == name_2
| 3.1875 | 3 |
main/migrations/0003_auto_20190525_0929.py | MenacingDwarf/HackGatchina | 1 | 12764325 | <gh_stars>1-10
# Generated by Django 2.2.1 on 2019-05-25 09:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0002_auto_20190525_0922'),
]
operations = [
migrations.AlterField(
model_name='sight',
name='... | 1.523438 | 2 |
lstm.py | iibrahimli/lstm-text-generation | 2 | 12764326 | <reponame>iibrahimli/lstm-text-generation
from keras.models import Sequential
from keras.layers import Dense, Dropout, LSTM
from keras.callbacks import ModelCheckpoint
from keras.utils import np_utils
import numpy
filename = "input.txt"
raw_text = open(filename).read()
raw_text = raw_text.lower()
raw_text = [i for i i... | 3.296875 | 3 |
personal/urls.py | KellenNjoroge/keller-gallery | 0 | 12764327 | from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url('^$',views.index,name='index'),
url('^image/',views.single_image,name='single_image'),
url('^location/',views.images_by_location,name='location'),
url('^c... | 1.9375 | 2 |
euler/p35.py | parin2092/cook | 0 | 12764328 | <reponame>parin2092/cook<filename>euler/p35.py
import math
n = 100
isPrime = [True for i in range(n)]
isPrime[0] = False
isPrime[1] = False
isPrime[2] = True
isPrime[3] = True
def perm(arr,pre,curr):
if len(curr) == 0:
arr.append(pre)
for i in xrange(len(curr)):
perm(arr, pre+curr[i], curr[0:i]+curr[i+1:])
d... | 3.25 | 3 |
Algorithms/implementation_drawing_book.py | suketm/hackerrank | 0 | 12764329 | <filename>Algorithms/implementation_drawing_book.py
n = int(input())
p = int(input())
print (min(p//2, ((n + (n+1)%2)-p)//2 )) | 3.375 | 3 |
labml_nn/gan/original/__init__.py | dongfangyixi/annotated_deep_learning_paper_implementations | 1 | 12764330 | """
---
title: Generative Adversarial Networks (GAN)
summary: A simple PyTorch implementation/tutorial of Generative Adversarial Networks (GAN) loss functions.
---
# Generative Adversarial Networks (GAN)
This is an implementation of
[Generative Adversarial Networks](https://arxiv.org/abs/1406.2661).
The generator, $... | 3.1875 | 3 |
Gallery/migrations/0011_auto_20210225_0853.py | CiganOliviu/InfiniteShoot | 1 | 12764331 | # Generated by Django 3.0.8 on 2021-02-25 08:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Gallery', '0010_pickedimage'),
]
operations = [
migrations.RemoveField(
model_name='pickedimage',
name='cover_image'... | 1.546875 | 2 |
wiki4codes/lib_and_frameworks/detectron2/vhelper/detectron2/DetectronModelMeta.py | innerNULL/wiki4codes | 0 | 12764332 | # -*- coding: utf-8 -*-
# file: DetectronModelMeta.py
# date: 2021-09-23
from multipledispatch import dispatch
from detectron2 import model_zoo
from .. import common
class DetectronModelMeta(common.ModelMeta):
def __init__(self,
dataset: str, task: str, model: str, backbone: str
):
se... | 2.1875 | 2 |
tests/utils/test_coprime.py | reidhoch/oeis-seq | 0 | 12764333 | <filename>tests/utils/test_coprime.py
# coding=utf-8
# flake8: noqa
from math import gcd
from hypothesis import given
from hypothesis.strategies import integers
from oeis.utils import coprime
def lcm(x: int, y: int) -> int:
return (x * y) // gcd(x, y)
@given(a=integers(), b=integers())
def test_lcm_property(a... | 2.75 | 3 |
docs/snippets/bus0_sync.py | husqvarnagroup/pynng | 174 | 12764334 | <reponame>husqvarnagroup/pynng
import time
from pynng import Bus0, Timeout
address = 'tcp://127.0.0.1:13131'
with Bus0(listen=address, recv_timeout=100) as s0, \
Bus0(dial=address, recv_timeout=100) as s1, \
Bus0(dial=address, recv_timeout=100) as s2:
# let all connections be established
time.... | 2.609375 | 3 |
scripts/jointcontroller_host.py | rachelmh/sawyer_rr_bridge | 0 | 12764335 | #!/usr/bin/env python
import roslib
roslib.load_manifest('sawyer_rr_bridge')
import rospy
import intera_interface
from std_msgs.msg import Empty
import sys, argparse
import struct
import time
import RobotRaconteur as RR
import thread
import threading
import numpy
from geometry_msgs.msg import (
PoseStamped,
P... | 2.25 | 2 |
entertainment_center.py | azhurb/movie-trailer-website | 1 | 12764336 | import fresh_tomatoes
import media
# Create a data structure
alien = media.Movie(
"Alien",
"During its return to the earth, commercial spaceship\
Nostromo intercepts a distress signal from a distant planet.",
"https://image.tmdb.org/t/p/w640/2h00HrZs89SL3tXB4nbkiM7BKHs.jpg",
"https://www.youtube.c... | 2.75 | 3 |
applications/pytorch/cnns/tests/test_train.py | payoto/graphcore_examples | 260 | 12764337 | <gh_stars>100-1000
# Copyright (c) 2020 Graphcore Ltd. All rights reserved.
import os
import gc
import pytest
import shutil
import torch
import poptorch
import popart
from poptorch.optim import SGD
import import_helper
from train import TrainingModelWithLoss
import datasets
import models
from utils import get_train_acc... | 2.015625 | 2 |
python-package/entry_meta_pb2.py | openmit/openmit | 15 | 12764338 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: entry_meta.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _re... | 1.265625 | 1 |
macro/dumpEvent.py | Plamenna/proba | 0 | 12764339 | <filename>macro/dumpEvent.py
# example for dumping an MC event
import ROOT,os,sys,getopt
import rootUtils as ut
import shipunit as u
import ShipGeoConfig
ship_geo = ShipGeoConfig.Config().loadpy("$FAIRSHIP/geometry/geometry_config.py")
PDG = ROOT.TDatabasePDG.Instance()
def printMCTrack(n,MCTrack):
mcp = MCTrack[n]... | 2.25 | 2 |
main.py | boneyrox/Python-bot | 0 | 12764340 | <gh_stars>0
import os
import random
import math
for i in range(50):
d = str(math.floor(i + 133 +150*random.random())) + ' day ago'
with open('bot.txt', 'a') as file:
file.write(d)
os.system('git add bot.txt')
os.system('git commit --date="' + d + '" -m "first commit"')
os.sy... | 2.578125 | 3 |
gimp_be/core.py | J216/gimp_be | 3 | 12764341 | import gimp
from gimp import pdb
from settings import *
from network import *
from image import *
from utils import *
from draw import *
from paint import *
from collections import Counter
import TwitterAPI
from random import randrange, choice, shuffle
from string import letters
import datetime as dt
from time import... | 2.46875 | 2 |
Darlington/phase-3/python challenge/day 89 solution/qtn2.py | darlcruz/python-challenge-solutions | 0 | 12764342 | #program to find the single element appears once in a list where every element
# appears four times except for one.
class Solution_once:
def singleNumber(self, arr):
ones, twos = 0, 0
for x in arr:
ones, twos = (ones ^ x) & ~twos, (ones & x) | (twos & ~x)
assert twos == 0
... | 3.65625 | 4 |
modules/checker_email.py | dark0ghost/async_py_bot | 24 | 12764343 | import asyncio
from email.mime.text import MIMEText
from random import random, choice
from aiosmtplib import SMTP
class CheckerEmail:
"""
class for check email
use :
from CheckerMailPy import CheckerEmail
from email.mime.text import MIMEText
async def async_start() ->... | 2.703125 | 3 |
doc/sphinxext/numpydoc/__init__.py | vimalromeo/pandas | 303 | 12764344 | from __future__ import division, absolute_import, print_function
from .numpydoc import setup
| 0.972656 | 1 |
x.py | merny93/tornado | 0 | 12764345 | <filename>x.py
import spinmob as s
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from scipy.special import voigt_profile
import spify
import os
#load pure copper data!
#the new fitting fit needs to work with different h,k,l
# Make a wrapper that will generate fitting functions... | 2.265625 | 2 |
contrib/ruamel/__init__.py | reuterbal/ecbundle | 0 | 12764346 | __all__ = ["yaml"]
| 1.070313 | 1 |
MMA.py | wznpub/MMA_Regularization | 8 | 12764347 | import torch
import torch.nn.functional as F
import mxnet as mx
def get_mma_loss(weight):
'''
MMA regularization in PyTorch
:param weight: parameter of a layer in model, out_features * in_features
:return: mma loss
'''
# for convolutional layers, flatten
if weight.dim() > 2:
weigh... | 2.859375 | 3 |
modules/andes-core/perftests/bin/processing/processTests.py | bhathiya/andes | 3 | 12764348 | #!/usr/bin/env 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
#... | 1.9375 | 2 |
python/047 Permutations II.py | allandproust/leetcode-share | 156 | 12764349 | <filename>python/047 Permutations II.py
'''
Given a collection of numbers that might contain duplicates, return all possible unique permutations.
For example,
[1,1,2] have the following unique permutations:
[1,1,2], [1,2,1], and [2,1,1].
'''
class Solution(object):
def permuteUnique(self, nums):
... | 3.984375 | 4 |
copper/shout/parsers/ifd/binary_json.py | cinepost/Copperfield_FX | 6 | 12764350 | <reponame>cinepost/Copperfield_FX<filename>copper/shout/parsers/ifd/binary_json.py
# This document is licensed under CC-3.0 Attribution-Share Alike 3.0
# http://creativecommons.org/licenses/by-sa/3.0/
# Attribution: There is no requirement to attribute the author.
'''
A Python JSON parser (http://www.j... | 2.140625 | 2 |