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 |
|---|---|---|---|---|---|---|
readfile.py | timfox456/testRNN | 0 | 53400 | <filename>readfile.py
import numpy as np
import scipy.io as scio
import argparse
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(description='Coverage Updating Plot')
parser.add_argument('--output', dest='filename', default='./log_folder/record.txt', help='')
pa... | 2.59375 | 3 |
tests/api_interface/test_runbooks/test_files/parallel_task.py | tuxtof/calm-dsl | 37 | 53401 | """
Calm DSL Sample Runbook for parallel task
"""
from calm.dsl.runbooks import runbook, parallel, branch
from calm.dsl.runbooks import RunbookTask as Task
@runbook
def ParallelTask():
"Runbook Service example"
with parallel() as p:
with branch(p):
Task.Delay(60, name="Delay1")
w... | 2.46875 | 2 |
server.py | awstanley/swm.js | 0 | 53402 | <filename>server.py<gh_stars>0
#!/bin/env python3
import sys
import socketserver
from http.server import SimpleHTTPRequestHandler
class TestServer(SimpleHTTPRequestHandler):
def end_headers(self):
self.send_header('Access-Control-Allow-Origin', '*')
SimpleHTTPRequestHandler.end_he... | 2.609375 | 3 |
.ci/test_lint_doctests.py | ravi-mosaicml/ravi-composer | 0 | 53403 | <filename>.ci/test_lint_doctests.py<gh_stars>0
# Pytest stub for running lint tests and doctests
# Running these checks through pytest allows us to report any errors in Junit format,
# which is posted directly on the PR
import os
import pathlib
import shutil
import subprocess
import textwrap
import pytest
def chec... | 2.15625 | 2 |
cogs/helpers/gamedeals.py | santoshpanna/Discord-Bot | 0 | 53404 | <filename>cogs/helpers/gamedeals.py
import re
from common import database, common
# acceptable store list
# TODO - shift to database
stores = ['steampowered.com', 'humblebundle.com', 'epicgames.com', 'reddit.com']
steamlinks = ('steampowered.com/app', 'steampowered.com/bundle', 'steampowered.com/sub')
# removes uri
... | 2.46875 | 2 |
bot/__main__.py | Temmon/Bibliomantic_Oracles | 11 | 53405 | <filename>bot/__main__.py
from bot import bot
bot.bot.run(bot.getToken())
| 1.34375 | 1 |
modules/templates.py | w-renk/p2e-monbuild | 0 | 53406 | from .scripts import ClearScreen
from PyInquirer import prompt
def SelectTemplateGraft(statBlock):
ClearScreen()
print("You can optionally use a template graft to start the creation process. Template grafts grant specific bonuses and unique abilities. They also " +
"largely determine the creature t... | 2.546875 | 3 |
photo2tactile.py | jolks/tactile_patterns | 14 | 53407 | """
Convert scenery image to tactile image.
# Algorithm
1. Read scenery image.
2. Grayscale.
3. Histogram equalize.
4. Compute fine-grained saliency map.
5. Scale to [0, 255]
6. Compute binary threshold map.
7. Invert binary threshold map.
8. Write tactile image.
References at the corresponding source code below.
"""... | 3.203125 | 3 |
src/new/main.py | AIM-Harvard/DeepConstrast | 3 | 53408 | import os
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as pltimport glob
from time import gmtime, strftime
from datetime import datetime
import timeit
import yaml
from tensorflow.keras.optimizers import Adam
import argparse
from get_data.get_img_dataset import get_img_dataset
from g... | 1.859375 | 2 |
codelab/DDP/train.py | LIZHICHAOUNICORN/Toolkits | 0 | 53409 | <reponame>LIZHICHAOUNICORN/Toolkits<filename>codelab/DDP/train.py
import argparse
import logging
import yaml
import torch
import torch.distributed as dist
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
import torch.nn.functional as F
from torch.nn.parallel import DistributedDataParallel as DDP... | 2.1875 | 2 |
oef/query.py | ip-config/oef-sdk-python | 2 | 53410 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018 Fetch.AI 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 Lice... | 1.664063 | 2 |
waveform.py | nenslen/chords | 1 | 53411 | <filename>waveform.py<gh_stars>1-10
import numpy as np
import matplotlib.pyplot as plt
import wavio
plt.style.use('ggplot')
class Waveform:
def __init__(self, points, sample_rate=44100):
'''
Parameters
----------
points : list of floats
The points of this waveform
... | 2.875 | 3 |
train_switch_joint_obs.py | rossamurphy/pytorch-dqn | 0 | 53412 | <reponame>rossamurphy/pytorch-dqn<gh_stars>0
import datetime as dt
from pathlib import Path
import time
from typing import List
import numpy as np
from torch.utils.tensorboard import SummaryWriter
import gym
import ma_gym
from ma_gym.wrappers import Monitor
from agent import DQNAgent
from agent_args import AGENT_ARG... | 2.0625 | 2 |
algorithm/greedy.py | CodeSopranos/KnapsackProblem | 4 | 53413 | import numpy as np
from algorithm.base import Algorithm
class Greedy(Algorithm):
def __init__(self, knapsack):
assert isinstance(knapsack, dict)
self.capacity = knapsack['capacity'][0]
self.weights = knapsack['weights']
self.profits = knapsack['profits']
self.n = ... | 3.40625 | 3 |
main/tools.py | dario-fumarola/nQueens | 0 | 53414 | """
File: tools.py
"""
import random
import time
def getRandomList(n):
"""Returns a list of unique random numbers in the
range 0..n-1"""
items = list(range(n))
random.shuffle(items)
return items
def compare(titleList, functionList, sizeList,
dataSet=lambda x: x, counter=None, compar... | 3.859375 | 4 |
metrics.py | fair-trec/trec2021-fair-public | 3 | 53415 | <filename>metrics.py
"""
Implementation of metrics for TREC Fair Ranking 2021.
"""
import logging
import numpy as np
import pandas as pd
from scipy.spatial.distance import jensenshannon
_log = logging.getLogger('metrics')
world_pop = pd.Series({
'Africa': 0.155070563,
'Antarctica': 1.54424E-07,
'Asia': 0... | 2.625 | 3 |
grove/grove_button.py | chousemath/grove.py | 0 | 53416 |
#!/usr/bin/env python
#
# This library is for Grove - Button(https://www.seeedstudio.com/s/Grove-Button-p-766.html)
#
# This is the library for Grove Base Hat which used to connect grove sensors for raspberry pi.
#
'''
## License
The MIT License (MIT)
Grove Base Hat for the Raspberry Pi, used to connect grove senso... | 1.960938 | 2 |
pso.py | pgalatic/graph-heuristic-study | 0 | 53417 | <reponame>pgalatic/graph-heuristic-study<filename>pso.py
# author: <NAME>
#
# Graph heuristic study -- particle swarm optimization
#
# https://en.wikipedia.org/wiki/Particle_swarm_optimization
# standard lib
import sys
import math
import copy
import random
import operator
# required lib
import numpy as np
# project ... | 2.9375 | 3 |
python/dataset/tatoeba_loader.py | yweweler/ctc-asr | 1 | 53418 | """Load the Tatoeba dataset."""
import sys
import os
import csv
import subprocess
import time
from multiprocessing import Pool, Lock, cpu_count
from tqdm import tqdm
from scipy.io import wavfile
from python.params import MIN_EXAMPLE_LENGTH, MAX_EXAMPLE_LENGTH
from python.dataset.config import CACHE_DIR, CORPUS_DIR
f... | 2.40625 | 2 |
aiotdlib/api/types/mask_position.py | jraylan/aiotdlib | 37 | 53419 | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# ... | 2.921875 | 3 |
app.py | venkattrj/Refresh | 0 | 53420 | from flask import Flask, request, json
from TextSummarizer import Preprocess
app = Flask(__name__)
app.debug = True
@app.route('/summarize', methods=['POST'])
def summrize():
text = request.json['text']
serve = Preprocess()
log, slead, srefresh, sgold = serve.run_textmode(text)
return json.dumps({'st... | 2.4375 | 2 |
main.py | SamanBeh/MLpkg | 0 | 53421 | '''
This is a ready to use package consisting of several supervised machine learning
algorithms with a predefined parameter-grid (which then you can update its values)
to fine tune these models on your data. You can calculate some features from your
peptides data set using our feature extraction tool to feed these ... | 2.78125 | 3 |
api/utils/input/__init__.py | mmangione/alcali | 306 | 53422 | from shlex import split
import json
class RawCommand:
def __init__(self, command, client="local", posix=True, inline=False):
# TODO: check shlex.quote, raw string, etc..
if inline:
self.command = split(command, posix=posix)
else:
self.command = split(command, posix=... | 2.484375 | 2 |
fcrepo_verify/iterators.py | awoods/fcrepo-import-export-verify | 5 | 53423 | <reponame>awoods/fcrepo-import-export-verify
from os.path import basename, isfile
from .utils import get_directory_contents, get_child_nodes
from .utils import get_data_dir
class Walker:
"""Walk a set of Fedora resources."""
def __init__(self, root, logger):
self.to_check = [root]
self.logger ... | 2.375 | 2 |
parallel_gradient/parallel_gradient.py | gschramm/python_tutorials | 0 | 53424 | # script to test the parallelized gradient / divergence from pymirc
import numpy as np
import pymirc.image_operations as pi
# seed the random generator
np.random.seed(1)
# create a random 3D/4D image
shape = (6,200,190,180)
# create random array and pad with 0s
x = np.pad(np.random.rand(*shape), 1)
# allocate arra... | 2.75 | 3 |
enthought/developer/helper/image_library_editor.py | enthought/etsproxy | 3 | 53425 | <reponame>enthought/etsproxy
# proxy module
from __future__ import absolute_import
from etsdevtools.developer.helper.image_library_editor import *
| 0.96875 | 1 |
tests/test_ns.py | TheCuriousNerd/happy-transformer | 277 | 53426 | from happytransformer import HappyNextSentence
def test_sp_true():
happy_ns = HappyNextSentence()
result = happy_ns.predict_next_sentence(
"Hi nice to meet you. How old are you?",
"I am 21 years old."
)
assert result > 0.5
def test_sp_false():
happy_ns = HappyNextSentence()
r... | 2.65625 | 3 |
setup.py | slafi/pysqlizer | 0 | 53427 | from setuptools import setup
with open("Readme.md", 'r') as f:
long_description = f.read()
setup(
name='pysqlizer',
version='1.0',
description='A module that can be used to convert a CSV file into a SQL file',
author='<NAME>',
author_email='<EMAIL>',
url="https://github.com/slafi",
license="M... | 1.65625 | 2 |
notes/notes/profiles/urls.py | BoyanPeychinov/python_web_basics | 1 | 53428 | <filename>notes/notes/profiles/urls.py
from django.urls import path
from notes.profiles.views import show_profile, create_profile, delete_profile
urlpatterns = [
path('', show_profile, name='show profile'),
path('create/', create_profile, name='create profile'),
# path('edit/<int:pk>', edit_profile, 'edit... | 1.921875 | 2 |
TransaqReplayServer.py | dandolbilov/TransaqReplayer | 0 | 53429 | <reponame>dandolbilov/TransaqReplayer<gh_stars>0
# -*- coding: utf-8 -*-
"""
File: TransaqReplayServer.py
Author: <NAME>
Created: 18-Oct-2020
"""
import logging
import threading
import time
from multiprocessing.connection import Listener
class TransaqReplayServer:
def __init__(self, xdf_file, ho... | 2.296875 | 2 |
modules/CalDavManager/__init__.py | Majroch/anime-checker | 0 | 53430 | <reponame>Majroch/anime-checker<filename>modules/CalDavManager/__init__.py<gh_stars>0
from modules.Config import Config
import datetime
from urllib.parse import urlparse
import os
try:
import vobject #pylint: disable=import-error
except ImportError:
print("No module found: vobject. Trying to Install")
try:... | 2.359375 | 2 |
grid/grid_world.py | akurmustafa/rl | 0 | 53431 | import numpy as np
class Grid:
def __init__(self, width, heigth, discount = 0.9):
self.width = width
self.heigth = heigth
self.x_pos = 0
self.y_pos = 0
self.values = np.zeros((heigth, width))
self.discount = discount
self.vertex_sources = []
self.vert... | 2.890625 | 3 |
nemo/utils/formatters/utils.py | borisdayma/NeMo | 10 | 53432 | # Copyright (C) <NAME>. 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 agree... | 2.15625 | 2 |
proj/ud120-projects/choose_your_own/test.py | askldjd/udacity-machine-learning | 2 | 53433 | <filename>proj/ud120-projects/choose_your_own/test.py
from sklearn.cross_validation import cross_val_score
from sklearn.datasets import load_iris
from sklearn.ensemble import AdaBoostClassifier
iris = load_iris()
clf = AdaBoostClassifier(n_estimators=100)
scores = cross_val_score(clf, iris.data, iris.target)
print scor... | 2.5 | 2 |
faker_nonprofit/__init__.py | SFDO-Community-Sprints/Snowfakery-Nonprofit | 0 | 53434 | <reponame>SFDO-Community-Sprints/Snowfakery-Nonprofit
"""Provider for Faker which adds fake nonprofit names, and program names."""
import faker.providers
PREFIXES = [
'',
'1st',
'2nd',
'Best',
'Eastern',
'Friends of the',
'Legal',
'Lower',
'Northern',
'Southern',
'Upper',
... | 1.671875 | 2 |
bagpy/__init__.py | jmscslgroup/rosbagpy | 107 | 53435 | <reponame>jmscslgroup/rosbagpy
# Initial Date: March 2, 2020
# Author: <NAME>
# Copyright (c) <NAME>, Arizona Board of Regents
# All rights reserved.
from .bagreader import bagreader
from .bagreader import animate_timeseries
from .bagreader import create_fig
| 1.15625 | 1 |
Festival/Festival_StreamlabsSystem.py | NewtC1/Salamandbot | 0 | 53436 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# pylint: disable=invalid-name
"""Let viewers pay currency to boost currency payouts
for everyone in chat for x seconds"""
import json
import os, os.path
import operator
import time
import codecs
#---------------------------------------
# [Required] Script information
#-------... | 2.34375 | 2 |
training/encoder.py | BinahHu/stylegan2 | 0 | 53437 | import numpy as np
import tensorflow as tf
#----------------------------------------------------------------------------
# Encoder network.
# Extract the feature of content and style image
# Use VGG19 network to extract features.
ENCODER_LAYERS = (
'conv1_1', 'relu1_1', 'conv1_2', 'relu1_2', 'pool1',
'conv2... | 2.53125 | 3 |
src/dataloaderinterface/urls.py | ODM2/ODM2DataSharingPortal | 18 | 53438 | """WebSDL URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-base... | 2.546875 | 3 |
warmup_1/parrot_trouble.py | nhutnamhcmus/coding-bat-solutions | 1 | 53439 | # =======================================================================================================================================
# VNU-HCM, University of Science
# Department Computer Science, Faculty of Information Technology
# Authors: <NAME> (<NAME>)
# © 2020
"""
We have a loud talking parrot. The "hour" ... | 3.71875 | 4 |
Signal-Viewer/Signal-Viewer.py | Radwa-Saeed/Didital-Signal-Processing-PyQt-GUI | 0 | 53440 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'newGui.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, ... | 2.28125 | 2 |
optimal_transport_morphometry/core/rest/__init__.py | girder/otm-server | 0 | 53441 | from .atlas import AtlasViewSet
from .dataset import DatasetViewSet
from .feature_image import FeatureImageViewSet
from .image import ImageViewSet
from .jacobian_image import JacobianImageViewSet
from .pending_upload import PendingUploadViewSet
from .preprocess import PreprocessingViewSet
from .registered_image import ... | 1.171875 | 1 |
src/docs/rizvi2017_sakmapper/sakmapper/network.py | SMRUCC/Erica | 0 | 53442 | <filename>src/docs/rizvi2017_sakmapper/sakmapper/network.py
from math import sqrt
import numpy as np
import pandas as pd
from scipy.spatial.distance import pdist, squareform, euclidean
import networkx as nx
from sklearn import cluster
from lens import apply_lens
import scipy
def davies_bouldin(dist_mu, sigma):
DB... | 2.1875 | 2 |
iso8583_dlib/parser.py | eocode/ISO8583-Dlib | 0 | 53443 | """Main Parser Class"""
import json
from .segments.utilities.operations import convert_bitmap_to_active_bits
from .segments.iso import ISO
from .segments.header import Header
from .segments.mti import MTI
from .segments.primary_bitmap import PrimaryBitmap
from .segments.data_elements import DataElements
class Parser... | 2.921875 | 3 |
league_builder.py | Nocks/Soccer-League | 0 | 53444 | <reponame>Nocks/Soccer-League<filename>league_builder.py<gh_stars>0
import csv
import random
# read and copy details of players from the supplied CSV file
def load_players(filename, all_players):
with open(filename, 'r') as csvfile:
players = csv.DictReader(csvfile, delimiter=',')
for player in pla... | 3.59375 | 4 |
binp/action.py | reddec/binp | 0 | 53445 | from dataclasses import dataclass
from logging import getLogger
from typing import List, Callable, Awaitable, Optional, Dict
from pydantic.main import BaseModel
@dataclass
class ActionHandler:
name: str
description: str
handler: Callable[[], Awaitable]
async def __call__(self):
return await ... | 2.859375 | 3 |
cnetzer/day2/day2.py | chadnetzer/advent2020 | 0 | 53446 | from collections import Counter
def parse_policy(policy):
range_str, c = policy.split()
lo,hi = range_str.split('-')
lo,hi = int(lo),int(hi)
return lo,hi,c
def pwcheck(pw, policy):
counts = Counter(pw)
lo,hi,char = parse_policy(policy)
if char not in counts:
return False
retu... | 3.515625 | 4 |
GamePlay.py | maxm897/pentagoAI | 4 | 53447 | #GamePlay.py
#<NAME>, <NAME>, <NAME>
"""This module contains the functions needed to support pentago gameplay.
A pentago gameboard is represented by a 6x6 2D array. Each location on the board is initialized to "" and is set
to 0 or 1 when the player or the AI respectively places a marble on that location. Each ar... | 3.859375 | 4 |
archived/silbiocomp/Practicals/Code/oaks_test.py | mathemage/TheMulQuaBio | 1 | 53448 | <reponame>mathemage/TheMulQuaBio
#Define function
def is_an_oak(name):
""" Returns True if name is starts with 'quercus'
>>> is_an_oak('<NAME>')
False
>>> is_an_oak('<NAME>')
True
# A typo
>>> is_an_oak('Quercuss')
False
"""
return name.lower().startswith('quercus ')
print(is... | 3.109375 | 3 |
python/__init__.py | MSFPT/JsonBase | 1 | 53449 | <filename>python/__init__.py<gh_stars>1-10
# https://github.com/MSFPT/JsonBase
import json
class JsonBase():
def __init__(self,file_db: str) :
try: self.file = open(file_db,'r+')
except FileNotFoundError as ferr :
with open(file_db,'w+')as f:f.close()
self.file = open(file_db,'r+')
... | 3.21875 | 3 |
hello.py | PowerSnail/cs3240-labdemo-hj5fb | 0 | 53450 | from helper import *
# add a comment
greeting('jin')
| 1.34375 | 1 |
data_exploration/explore.py | billylegota/ECE-380L-Term-Project | 0 | 53451 | import h5py
import matplotlib.pyplot as plt
import numpy as np
import scipy.io
import scipy.stats
import complex_pca
def plot_pca_variance_curve(x: np.ndarray, title: str = 'PCA -- Variance Explained Curve') -> None:
pca = complex_pca.ComplexPCA(n_components=x.shape[1])
pca.fit(x)
plt.figure()
plt.p... | 2.671875 | 3 |
setup.py | MiCHiLU/watchlion | 1 | 53452 | <reponame>MiCHiLU/watchlion
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(name="watchlion",
version="0.3",
description="Filesystem events monitoring",
long_description=open('README.rst').read(),
author="<NAME>",
license="MIT",
url="... | 1.046875 | 1 |
utils/eval_utils.py | alon-albalak/XOR-COVID | 1 | 53453 |
import sys
import re
import string
from collections import Counter
import pickle
def normalize_answer(s):
def remove_articles(text):
return re.sub(r'\b(a|an|the)\b', ' ', text)
def white_space_fix(text):
return ' '.join(text.split())
def remove_punc(text):
exclude = set(string.... | 2.71875 | 3 |
core/snippets.py | admariner/madewithwagtail | 0 | 53454 | from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from modelcluster.fields import ParentalKey
from modelcluster.models import ClusterableModel
from wagtail.wagtailadmin.edit_handlers import FieldPanel, InlinePanel, MultiFieldPanel, PageChooserPanel
from wagtail.wagtailcore.mode... | 1.953125 | 2 |
Hl7_Parser.py | AnaniSkywalker/HL7_Parser | 1 | 53455 | ## Author: <NAME>
import json
import io
import os
import re
from hl7apy.parser import parse_message
from hl7apy.exceptions import UnsupportedVersion
#receives the name of the file and reads the messages in the file
def readMessageFile(filename):
#read the file
message = open(filename, 'r').read()
print("St... | 2.9375 | 3 |
cloud/blog/tests.py | XINGYANGSOFT/HuaZhang-Data-Engine | 0 | 53456 | # -*- coding:utf-8 -*-
import urllib
import urllib.request
import json
import django.utils.http
from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect
from operator import itemgetter # 排序
import time
from django.core.paginator import Paginator
servers = ['127.0.0.1:8100', '127.0.... | 2.15625 | 2 |
top50.py | liyongyue/dnsspider | 0 | 53457 | from dnsget import dnsget
from analyse_dependency import a_d
f=open("targetd2")
line=f.readline().strip('\n')
o=open("targetd2r",'w')
target=[]
name="top50"
while (line):
target.append(line)
line=f.readline().strip('\n')
r=dnsget(target,name)
a_d(name)
f.close()
o.close()
| 2.6875 | 3 |
compmech/conecyl/imperfections/imperfections.py | mrosemeier/compmech | 4 | 53458 | import os
from random import sample
import numpy as np
from numpy import cos
from scipy.linalg import lstsq
from compmech.constants import CMHOME
from compmech.logger import *
def load_c0(name, funcnum, m0, n0):
path = os.path.join(CMHOME, 'conecyl', 'imperfections', 'c0',
'c0_{0}_f{1}_m{2:03d}_n{3:0... | 2.125 | 2 |
habanero/habanero_utils.py | Maocx/habanero | 0 | 53459 | <filename>habanero/habanero_utils.py
import re
import requests
from . import __version__
from .response import Works
from .noworks import NoWorks
# helpers ----------
def converter(x):
if(x.__class__.__name__ == 'str'):
return [x]
else:
return x
def sub_str(x, n = 3):
if(x.__class__.__name__ == 'No... | 2.3125 | 2 |
search/serialize/__init__.py | ID2797370/arxiv-search | 35 | 53460 | <filename>search/serialize/__init__.py
"""Provides serialization functions for API responses."""
__all__ = ["JSONSerializer", "as_json", "AtomXMLSerializer", "as_atom"]
from search.serialize.json import JSONSerializer, as_json
from search.serialize.atom import AtomXMLSerializer, as_atom
| 1.703125 | 2 |
boj/1439.py | JeongHoLim/practice | 1 | 53461 | <gh_stars>1-10
def func(s):
one = 0
zero = 0
for i in range(len(s)):
if i > 0 and s[i] == s[i-1] : continue
if s[i] == "1":
one += 1
else :
zero += 1
return min(one,zero)
s = input()
print(func(s))
| 3.0625 | 3 |
cs294/hw4/controllers.py | Rolight/Mooc-Assignments | 0 | 53462 | import numpy as np
from cost_functions import trajectory_cost_fn
import time
class Controller():
def __init__(self):
pass
# Get the appropriate action(s) for this state(s)
def get_action(self, state):
pass
class RandomController(Controller):
def __init__(self, env):
""" YOUR... | 3.453125 | 3 |
modeling/localization_ACRM.py | tanghaoyu258/ACRM-for-moment-retrieval | 18 | 53463 | import torch
import numpy as np
from torch import nn
from torch.nn import functional as F
# from modeling.dynamic_filters.multiheadatt import TransformerBlock
from modeling.dynamic_filters.build import DynamicFilter,ACRM_query,ACRM_video
from utils import loss as L
from utils.rnns import feed_forward_rnn
import utils.p... | 2.34375 | 2 |
gridGrab.py | KaiLangen/Dual_Sudoku_Solver | 0 | 53464 | <gh_stars>0
import cv2
import numpy as np
import matplotlib.pyplot as plt
def preprocessing(img):
# gaussian blur image and convert to grayscale
blur = cv2.GaussianBlur(img, (5,5), 0)
gray = cv2.cvtColor(blur, cv2.COLOR_BGR2GRAY)
# perform a close operation
kernel = cv2.getStructuringElement(cv2.M... | 2.734375 | 3 |
src/topological_navigation/scripts/topological_map.py | LCAS/spqrel_navigation | 28 | 53465 | <gh_stars>10-100
import yaml
from topological_node import TopologicalNode
class TopologicalMap(object):
def __init__(self, filename=None):
if filename:
lnodes = self._load_map(filename)
self.nodes = self._get_nodes(lnodes)
else:
self.nodes = []
def _get_no... | 2.765625 | 3 |
AlgorithmProblems/0348. Design Tic-Tac-Toe/348. Design Tic-Tac-Toe.py | lynnli92/leetcode-group-solution | 4 | 53466 | <gh_stars>1-10
"""
We use row status, col status and diagonal status to track each row, column, diagonal in board.
For example, in row status, the ith element [a, b] means player1 has filled n-a positions in current row and player2 filled n-b positions.
Once this value reaches 0, that means all positions in current ro... | 3.859375 | 4 |
mutations/__init__.py | tomergt45/Geneticflow | 0 | 53467 | <reponame>tomergt45/Geneticflow
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import os, sys
sys.path.append(os.path.realpath('..'))
import tensorflow as tf
import numpy as np
import string
import utils
# In[6]:
def get(name):
"""
Returns a mutation by name, this can be a function or a class name, in ... | 3.421875 | 3 |
tests/resource_tests.py | cgalleguillosm/accasim | 3 | 53468 | import os
import sys
import json
accasim = os.path.abspath(os.path.join('../../accasim'))
sys.path.insert(0, accasim)
import unittest
from accasim.base.resource_manager_class import Resources
class ResourcesTests(unittest.TestCase):
def load_sys_config(self):
fp = 'data/system_def.con... | 2.59375 | 3 |
src/models/layers.py | voreille/plc_seg | 0 | 53469 | <reponame>voreille/plc_seg<filename>src/models/layers.py
import tensorflow as tf
class ResidualLayer2D(tf.keras.layers.Layer):
def __init__(self, *args, activation='relu', **kwargs):
super().__init__()
self.filters = args[0]
self.conv = tf.keras.layers.Conv2D(*args,
... | 2.53125 | 3 |
redditnfl/rnfltools/vet.py | redditnfl/rnfl-tools | 0 | 53470 | #!/usr/bin/env python3
import traceback
from progressbar import ProgressBar, ETA, FormatLabel, Bar
import csv
import requests
from bs4 import BeautifulSoup
from datetime import datetime
from praw import Reddit
from redditnfl.reddittools.reddittoken import ensure_scopes
import sys
import pytz
EST = pytz.timezone('Amer... | 2.703125 | 3 |
experimental/blender/spheres.py | mcarlen/libbiarc | 0 | 53471 | """
Use this script to generate a *thick* wireframe with spheres
as joints. The input file (currently /tmp/wire.txt) is the
output file from the tool pkf2mesh!
Adjust SRadius for the cylinder size. The sphere size is
6*SRadius, change it as well if needed.
"""
from Blender import *
from Blender.Mathutils im... | 2.953125 | 3 |
generateKeys.py | jeremywgleeson/Corec-AutoSchedule-Avail | 1 | 53472 | import random
import string
import json
import os
KEYS_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "project", "keys_file.json")
def get_random_alphanumeric_string(length):
letters_and_digits = string.ascii_letters + string.digits
result_str = ''.join((random.choice(letters_and_digits) for... | 3.28125 | 3 |
scripts/random-time.py | epochblue/annoy-a-tron | 63 | 53473 | #!/usr/bin/env python
import random
import subprocess
HOURS = range(1, 13)
MINUTES = ["o'clock"] + ["o %s" % x for x in range(1, 10)] + range(10, 60)
AM_PM = ['a.m.', 'p.m.']
TIME = 'it is now {} {} {}'.format(random.choice(HOURS),
random.choice(MINUTES),
... | 2.546875 | 3 |
snippets/frame2lines.py | district10/snippet-manager | 7 | 53474 | # n points
def lerp_line(pt0, pt1, n):
pts = []
for i in range(n + 1):
t = i / float(n)
pt = pt0 * t + pt1 * (1.0 - t)
pts.append(pt)
return pts
def pole_to_lines(pt0, pt1, color=[0, 255, 0], n=20):
lines = []
pts = lerp_line(pt0, pt1, n)
for pt in pts:
lines.ap... | 2.234375 | 2 |
flapison/querystring.py | Leechael/flapison | 13 | 53475 | # -*- coding: utf-8 -*-
"""Helper to deal with querystring parameters according to jsonapi specification"""
import json
from flask import current_app
from flapison.exceptions import (
BadRequest,
InvalidFilters,
InvalidSort,
InvalidField,
InvalidInclude,
)
from flapison.schema import get_model_f... | 2.796875 | 3 |
src/_Image_Env/MetaData.py | krisHans3n/ifd_standardised_api_prod | 0 | 53476 | <reponame>krisHans3n/ifd_standardised_api_prod
class MetaData:
'''
convert to dynamically adding attributes by passing in **kwargs and
setting each key value pair
attention will need to be given for when this class is used in other processes
to make sure they know the attributes that exists with ea... | 2.4375 | 2 |
dsat/request.py | uba/DSAT-cli | 0 | 53477 | # Copyright (C) 2021-2022 INPE.
# DSAT-Cli is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
__author__ = '<NAME>'
__email__ = '<EMAIL>'
from dsat import cache
from dsat.config import Config
from dsat.utils import computeImageSize, cre... | 2.109375 | 2 |
Car_Pedestrian_tracker.py | zbaban/Car-and-Pedestrian-Tracking | 0 | 53478 | <gh_stars>0
import cv2
# Our Image
img_file = "Car_Image.jpg"
video = cv2.VideoCapture('NYC.mp4')
# Our pre-trained car classifier
vehichle_tracker_file = "vehichle_detector.xml"
pedestrian_tracker_file = "pedestrian_detector.xml"
#create car and pedestrains lassifier
car_tracker = cv2.CascadeClassifier(vehichle_t... | 3.265625 | 3 |
dtrace_ctypes/consumer.py | arichardson/l41-python-dtrace | 1 | 53479 | """
The implementation of the consumer.
Created on Oct 10, 2011
@author: tmetsch
"""
from ctypes import cdll, CDLL, byref, c_int, c_char_p, CFUNCTYPE, c_void_p, \
POINTER, cast
from dtrace_ctypes.dtrace_structs import dtrace_bufdata, dtrace_probedata, \
dtrace_aggdata, dtrace_recdesc
from threading import Th... | 2.734375 | 3 |
opennem/core/downloader.py | paulculmsee/opennem | 0 | 53480 | import logging
from io import BytesIO
from zipfile import ZipFile
from opennem.utils.handlers import _handle_zip, chain_streams
from opennem.utils.http import http
from opennem.utils.mime import mime_from_content, mime_from_url
logger = logging.getLogger("opennem.downloader")
def url_downloader(url: str) -> bytes:
... | 2.5625 | 3 |
Item.py | Luigimonbymus/Modern-Quest | 1 | 53481 | <reponame>Luigimonbymus/Modern-Quest<filename>Item.py
class item():
def ___init___(self, name, desc, worth):
self.name=name
self.desc=desc
self.worth=worth
def _str_(self):
return "{}\n=====\n{}\nWorth: {}\n".format(self.name, self.desc, self.worth)
class money(item):
def __... | 3.390625 | 3 |
tools/faker_docs_utils/faker_markdown.py | abeyerpath/Snowfakery | 81 | 53482 | import re
from functools import lru_cache
from pathlib import Path
import typing as T
from yaml import dump as yaml_dump
from faker import Faker
from faker.config import AVAILABLE_LOCALES
from tools.faker_docs_utils.format_samples import (
yaml_samples_for_docstring,
snowfakery_output_for,
)
from .summarize_fa... | 2.265625 | 2 |
13/13.py | teagles/teagles-pc | 0 | 53483 | <reponame>teagles/teagles-pc
#!/usr/bin/env python
# http://huge:<EMAIL>@www.<EMAIL>.com/pc/return/disproportional.html
import sys
import xmlrpclib
URL = 'http://www.pythonchallenge.com/pc/phonebook.php'
# 13/13.py Bert
def main(args=None):
if args is None:
args = sys.argv[1:]
s = xmlrpclib.ServerPro... | 2.09375 | 2 |
python/py-entrypoints/files/setup.py | svalgaard/macports-ports | 1 | 53484 | from distutils.core import setup
setup(
name='entrypoints',
version='0.2.2',
description='Discover and load entry points from installed packages.',
author='<NAME>',
author_email='<EMAIL>',
url='https://github.com/takluyver/entrypoints',
py_modules=['entrypoints'],
)
| 1.195313 | 1 |
seamm_installer/__main__.py | molssi-seamm/seamm_installer | 1 | 53485 | # -*- coding: utf-8 -*-
"""The main module for running the SEAMM installer.
"""
import argparse
import logging
import sys
import seamm_installer
logger = logging.getLogger(__name__)
def run():
"""Run the installer.
How the installer runs is controlled by command-line arguments.
We need the installer ... | 2.5625 | 3 |
psystem/create_stegotons/run_psystem.py | ranocha/Dispersive-wave-error-growth-notebooks | 0 | 53486 | #!/usr/bin/env python
# encoding: utf-8
import sys
import os
sys.path.append('./../')
from petsc4py import PETSc
if __name__=="__main__":
from psystem import *
refn = 7 # goal 7 (1024 DoFs)
outdir = './_output'
rank = PETSc.COMM_WORLD.rank
if rank==0:
if not os.path.exists(outdir): os.mkdi... | 2.015625 | 2 |
Jarvis/BadDataDetector/get_keywords.py | rafarrel/Jarvis | 0 | 53487 | <gh_stars>0
"""
This file was used to generate the keywords used in the bad data detector.
We manually edited/cleaned the generated keywords after to better reflect the
data and remove fringe/minimally related keywords that don't convey any
meaning.
DO NOT RUN THIS FILE as it will overwrite our cleaned keywords.
"""
... | 2.671875 | 3 |
diffuse/diffuser/tests/base.py | asandeep/diffuse | 1 | 53488 | import os
import time
from concurrent import futures
from contextlib import contextmanager
from unittest import mock
import pytest
import diffuse
from diffuse.diffuser.base import pool
def target(msg):
return f"hello {msg}"
def target_exception(msg):
raise ValueError("Test")
def target_long_running(msg)... | 2.15625 | 2 |
regmap/bin/regmap.py | stefanct/pulp-tools | 0 | 53489 | #
# Copyright (C) 2018 ETH Zurich, University of Bologna
# and GreenWaves Technologies
#
# 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
#
# U... | 1.898438 | 2 |
process.py | darthbatman/MachineryMonitor | 0 | 53490 | import h5py
from os import listdir, getcwd
from os.path import isfile, join
def hdf_to_csv():
path = getcwd() + '/2020_Challenge_IOT_Analytics/competitionfiles'
files = [f for f in listdir(path) if isfile(join(path, f))]
for file in files:
rf = h5py.File(path + '/' + file, 'r')
chanIDs = r... | 2.515625 | 3 |
gloop/clients/match.py | pitzer42/nano_tcg | 1 | 53491 | <gh_stars>1-10
from abc import ABC
from gloop.entities.match import Match
from gloop.entities.player import Player
class MatchClient(ABC):
async def wait_notification(self):
raise NotImplementedError()
async def notify_new_player_join(self, player: Player):
raise NotImplementedError()
... | 2.625 | 3 |
tests/messysoup_test.py | messysoup/messysoup | 4 | 53492 | <gh_stars>1-10
from messysoup.messysoup import *
from messysoup.table.table import *
import pytest
def test_a():
assert a("test", href="test.domain") == "<a href=test.domain >test</a>\n"
def test_abbreviation():
assert abbreviation("test") == "<abbr >test</abbr>\n"
def test_address():
assert address('t... | 2.296875 | 2 |
_build/jupyter_execute/contents/Python/Data Manipulation.py | svenaoki/dsinterviewqns | 5 | 53493 | <gh_stars>1-10
#!/usr/bin/env python
# coding: utf-8
# ## Data Manipulation
# ### Questions
# ```{admonition} Problem: [GOOGLE] Score Bucketization
# :class: dropdown, tip
#
# Let's say you're given a list of standardized test scores from high schoolers from grades $9$ to $12$.
#
# Given the dataset, write code in... | 3.921875 | 4 |
read_comment_aloud.py | ArinoMiya/read-comment-aloud | 0 | 53494 | <filename>read_comment_aloud.py
# coding: utf-8
import argparse
import src.comment_reader as comment_reader
SETUP_TYPE = ['channel', 'video', 'url']
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--method',
type=str,
... | 3.296875 | 3 |
cord/http/utils.py | pritamsoni-hsr/cord-client-python | 0 | 53495 |
import logging
import magic
import os.path
import requests
from tqdm import tqdm
def read_in_chunks(file_path, blocksize=1024, chunks=-1):
""" Splitting the file into chunks. """
with open(file_path, 'rb') as file_object:
size = os.path.getsize(file_path)
pbar = tqdm(total=100)
curre... | 2.578125 | 3 |
src/DNN_ref.py | somu15/Small_Pf_code | 0 | 53496 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 14 09:15:33 2020
@author: dhulls
"""
# Imports
import numpy as np
np.random.seed(100)
from tensorflow import random
random.set_seed(100)
import os
import pathlib
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
os.chdir('/... | 2.328125 | 2 |
cache.py | ivclab/Label_Reuse_Semisupervised | 2 | 53497 | import torch
from torch import nn
class Cache(nn.Module):
def __init__(self, n_entries, entry_size):
super(Cache, self).__init__()
self.n_entries = n_entries
self.entry_size = entry_size
self.register_buffer(
name='idx_sparse',
tensor=torch.z... | 2.9375 | 3 |
src/compute_results.py | sgk98/CRM-Better-Mistakes | 4 | 53498 | <filename>src/compute_results.py
import argparse
import os
import json
import shutil
import numpy as np
from distutils.util import strtobool as boolean
import torch
import torch.optim
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.utils.data
import torch.utils.data.dis... | 1.851563 | 2 |
src/kinesis_producer.py | jacobmas/docker-twitter-streamer | 0 | 53499 | # stdlib
import os
import sys
import logging
# addlib
import boto3
log = logging.getLogger(__name__)
class RecordAccumulator(object):
def __init__(self, limit=20):
self.limit = limit
self.container = []
def empty(self):
result, self.container = self.container, []
... | 2.34375 | 2 |