max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 117 | max_stars_count int64 0 95.2k | id stringlengths 1 7 | content stringlengths 12 593k | input_ids listlengths 7 549k |
|---|---|---|---|---|---|
fastGraph/__main__.py | AngusKung/fastGraph | 0 | 62246 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import random
import psutil
import logging
import pandas as pd
import numpy as np
from io import open
from collections import Counter
from multiprocessing import cpu_count
from concurrent.futures import ProcessPoolExecutor
from scipy.sparse import csr... | [
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13... |
CodeChef/CENS20D.py | PROxZIMA/Competitive-Coding | 1 | 82881 | # https://www.codechef.com/viewsolution/36973732
for _ in range(int(input())):
n = int(input())
a = list(map(int, input().split()))
count = 0
for i in range(n):
for j in range(i + 1, n):
if a[i] & a[j] == a[i]:
count += 1
print(count) | [
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mycode/test03.py | JamesWang007/kitti_object_vis | 0 | 191401 | import torch
import numpy as np
import _init_path
import numpy as np
import os
import torch
import torch.nn as nn
import torch.optim as optim
import torch.optim.lr_scheduler as lr_sched
from torch.nn.utils import clip_grad_norm_
from torch.utils.data import DataLoader
import tensorboard_logger as tb_log
from dataset i... | [
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2... |
displ/queue/internal.py | tflovorn/displ | 4 | 1604844 | <filename>displ/queue/internal.py<gh_stars>1-10
import os
import subprocess
from displ.queue.queuefile import get_qf_path
from displ.queue.queue_util import global_config
def enqueue(config):
# Assumes appropriate queufile already exists.
# (allow for queuefile to be written and examined before enqueuing)
... | [
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hyperparam_optim_mask_rcnn.py | branislav1991/MicroscopyUNet | 1 | 53324 | <gh_stars>1-10
import os
from sys import float_info
from hyperopt import fmin, tpe, hp
from train_mask_rcnn import train_mask_rcnn, CHECKPOINT_DIR
import pickle
import math
from keras import backend as K
train_path="./data/stage1_train/"
val_path="./data/stage1_val/"
train_ids = next(os.walk(train_path))
... | [
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BOT-DEMO/MoLFI_demo.py | Pad0y/logparser | 0 | 67246 | <reponame>Pad0y/logparser
#!/usr/bin/env python
import sys
sys.path.append("../")
from logparser import MoLFI
import pandas as pd
input_dir = "../logs/HDFS/" # The input directory of log file
output_dir = "MoLFI_result/" # The output directory of parsing results
log_file = "HDFS_2k.log" # The input log file name
l... | [
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mysign_app/migrations/0002_add_is_admin.py | mindhashnl/roomsignage | 0 | 162951 | # Generated by Django 2.2.5 on 2019-09-24 09:16
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mysign_app', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='user',
... | [
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Beta/Longest Subarray with Maximum Average Value.py | mwk0408/codewars_solutions | 6 | 165524 | <reponame>mwk0408/codewars_solutions
def solve(arr, k):
cur=float("-inf")
ans=tuple()
total=sum(arr)
for i in range(len(arr), k-1, -1):
temp=compute(arr, total, i)
if temp[0]>cur:
cur=temp[0]
ans=(temp[1], i)
total-=arr[i-1]
return ans
def compute(arr,... | [
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networking/connection/stun_client.py | bcgrendel/python_networking | 0 | 8551 | <reponame>bcgrendel/python_networking
import socket
import sys
import traceback
import struct
import threading;
from threading import Thread;
import time;
import datetime;
import json
#import buffered_message;
import hashlib
from Crypto.PublicKey import RSA
from connection_state import ConnectionState
# publickey = RSA... | [
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src/lamdas/segment-delete/segment_delete.py | aws-samples/amazon-pinpoint-segment-campaign-automation | 3 | 99282 | import logging
import os
import time
import boto3
client = boto3.client("pinpoint")
def lambda_handler(event, context):
log_level = str(os.environ.get("LOG_LEVEL")).upper()
if log_level not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
log_level = "ERROR"
logging.getLogger().setLevel(log... | [
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ConfManager/models/interfaces.py | cygerior/LabManager | 0 | 144115 | <filename>ConfManager/models/interfaces.py
from django.db import models
from polymorphic.models import PolymorphicModel
class Interface(PolymorphicModel):
name = models.CharField(max_length=30, unique=True)
def __str__(self):
return self.name
class NetworkInterface(Interface):
mac_address = mod... | [
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galaxydb/__init__.py | alantelles/galaxydb | 2 | 33394 | <gh_stars>1-10
from galaxydb.column import Column
from galaxydb.scheme import Scheme
from galaxydb.logic import Logic
from galaxydb.table import Table
from galaxydb.constants import *
from galaxydb.statics import *
| [
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pravash/createincident.py | amvasudeva/rapidata | 0 | 140792 | #! /usr/bin/python
#Need to install requests package for python
#sudo easy_install requests
import requests
# Set the request parameters
url = 'https://wiprodemo.service-now.com/api/now/table/incident'
user = 'Default'
pwd = '<PASSWORD>'
# Set proper headers
headers = {"Content-Type":"application/json","Accept":"... | [
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scraper/functions/progress_bar.py | cordeirossauro/iw-scraper | 0 | 138976 | <reponame>cordeirossauro/iw-scraper
import math
class ProgressBar:
def __init__(self, total_steps, bar_size, message, current_step = 1):
self.total_steps = total_steps
self.current_step = current_step
self.bar_size = bar_size
self.message = message
def print_bar(self):
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backend/src/baserow/contrib/database/migrations/0007_datefield.py | cjh0613/baserow | 839 | 156947 | # Generated by Django 2.2.11 on 2020-05-26 10:23
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('database', '0006_auto_20200522_1329'),
]
operations = [
migrations.CreateModel(
name='DateFiel... | [
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open_spiel/python/algorithms/psro_v2/rl_policy.py | julianstastny/open_spiel | 0 | 76210 | # Copyright 2019 DeepMind Technologies Ltd. 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 appl... | [
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optimetry/zoo/ggt.py | optimetry/optimetry | 2 | 119856 | <reponame>optimetry/optimetry<filename>optimetry/zoo/ggt.py
"""GGT optimizer: an efficient full-matrix adaptive gradient method.
"""
import math
import torch
class GGT(torch.optim.Optimizer):
"""GGT full-matrix adaptive optimizer. Uses GPU-friendly operations
for applying pseudoinverse powers of a low-rank Gr... | [
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client/data/email_builder.py | jurandirjdsilva/pycryptomail | 1 | 141702 | <reponame>jurandirjdsilva/pycryptomail<filename>client/data/email_builder.py
class EmailBuilder:
def __init__(self):
self.message = {}
def set_from_email(self, email):
self.message['from'] = email
return self
def set_receiver_email(self, email):
self.message['receiver'] = e... | [
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hmmlearn/tests/test_hmm.py | paschalidoud/hmmlearn | 0 | 133809 | from __future__ import print_function
from unittest import TestCase
import numpy as np
from nose import SkipTest
from numpy.testing import assert_array_equal, assert_array_almost_equal
from sklearn.datasets.samples_generator import make_spd_matrix
from sklearn.mixture import GMM
from sklearn.utils import check_random... | [
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classifier/vec/get_embedding_matrix.py | banboooo044/natural-language-sentiment-anaysis | 0 | 186126 | <reponame>banboooo044/natural-language-sentiment-anaysis
# Word2vec, Fasttext の単語分散表現から文章分散表現を取得
## 学習済みモデルをそのまま使う場合:
## word2vec : python3 get_embedding_matrix word2vec
## fasttext : python3 get_embedding_matrix fasttext
## fasttext+neologd : python3 get_embedding_matrix fasttext-neologd
## 自分で学習した [filename].model ... | [
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one_point_stats/stats/noise.py | piyanatk/one_point_stats | 0 | 165997 | import numpy as np
from scipy.stats import skew, kurtosis
__all__ = ['sky_noise_error', 'propagate_noise_error', 'mcnoise']
def sky_noise_error(nu_obs, nu_emit, nu_ch_bw, tint, a_eff, n_station, bmax):
"""Calculate instrument noise error of an interferometer.
This assume that Tsys is dominated by Tsky.
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data/2019-11-28/openml-datasets-single-column/plot_features_versus_target.py | VIDA-NYU/prida | 1 | 1604003 | '''
This script gets a file with metadata, learning features, and target
values for each line, and plots different features against the target.
'''
FEATURE_NAMES = ['query_num_of_columns','query_num_of_rows','query_row_column_ratio','query_max_mean','query_max_outlier_percentage','query_max_skewness','query_max_kurt... | [
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algorithms/aiAlgorithms/cnn/cnn_facial_recognition.py | bigfoolliu/liu_aistuff | 1 | 46137 | <reponame>bigfoolliu/liu_aistuff<filename>algorithms/aiAlgorithms/cnn/cnn_facial_recognition.py<gh_stars>1-10
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
# TODO: not finished.
"""
fer2013.csv文件内容
- emotion,pixels,Usage
- pixels为48*48的像素值
"""
import string, os, sys
import numpy as np
import mat... | [
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Reconocimiento/Prueba1lidarchidovibr.py | larj3852/Lidar_TT | 0 | 58320 | # -*- coding: utf-8 -*-
"""
...
"""
import LibraryTT.txt2array as conversion
import numpy as np
from numpy import sqrt
import pandas as pd
import matplotlib.pyplot as plt
import random
import math
from mpl_toolkits.mplot3d import Axes3D
# import open3d as o3d
# %matplotlib inline
D = conversion.txt2... | [
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resource/pypi/cryptography-1.7.1/tests/hazmat/primitives/test_keywrap.py | hipnusleo/Laserjet | 0 | 196972 | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
import binascii
import os
import pytest
from cryptography.ha... | [
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13,
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322,
278,
350,
7230,
19245,
29889,
2823,
278,
365,
2965,
1430,
1660,
934,
297,
278,
3... |
contact_PPO.py | ZhaomingXie/RLAlg | 0 | 1609445 | import argparse
import os
import sys
import random
import numpy as np
import scipy
import torch
import torch.optim as optim
import torch.multiprocessing as mp
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import torch.utils.data
from params import Params
import pickle
impo... | [
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9... |
tests/filterbanks/stft_test.py | michelolzam/asteroid | 1 | 141575 | <reponame>michelolzam/asteroid
import pytest
import torch
from torch import testing
import numpy as np
from scipy.signal import get_window
from asteroid.filterbanks import Encoder, Decoder, STFTFB
from asteroid.filterbanks import make_enc_dec, griffin_lim, misi
from asteroid.filterbanks.stft_fb import perfect_synthesi... | [
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WORC/plotting/plot_barchart.py | MStarmans91/WORC | 47 | 104525 | #!/usr/bin/env python
# Copyright 2016-2019 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obt... | [
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sshpipe/sshpipe/bin/sshpipe_socket_handler.py | Acrisel/sshpipe | 0 | 117576 | #!/usr/bin/env python3
'''
Created on Oct 18, 2017
@author: arnon
'''
from sshpipe import SSHPipeHandler
import logging
from logging.handlers import SocketHandler
import pickle
import struct
mlogger = logging.getLogger(__file__)
class SSHPipeSocketHandler(SSHPipeHandler, SocketHandler):
''' SSHPipeSocketHandle... | [
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588... |
app/schemas/card_serealize.py | Suspir0n/Care-API | 1 | 90834 | from ..settings.config import ma
class CardSchema(ma.Schema):
class Meta:
fields = ('uid', 'active', 'deleted', 'createAt', 'updateAt', 'num_card', 'name', 'date_valid', 'cod_security')
card_schema = CardSchema()
cards_schema = CardSchema(many=True) | [
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asq/test/test_to_set.py | sixty-north/asq | 175 | 89007 | import unittest
from asq.queryables import Queryable
__author__ = "<NAME>"
class TestToSet(unittest.TestCase):
def test_to_set(self):
a = [1, 2, 4, 8, 16, 32]
b = Queryable(a).to_set()
c = set([1, 2, 4, 8, 16, 32])
self.assertEqual(b, c)
def test_to_set_closed(self):
... | [
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axonius_api_client/cli/grp_system/__init__.py | rwils83/axonius_api_client | 0 | 165934 | # -*- coding: utf-8 -*-
"""Command line interface for Axonius API Client."""
import click
from ..context import AliasedGroup
from . import (
grp_central_core,
grp_discover,
grp_meta,
grp_nodes,
grp_roles,
grp_settings,
grp_users,
)
@click.group(cls=AliasedGroup)
def system():
"""Group... | [
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examples/widget_demo.py | PBLab/magicgui | 0 | 137704 | """Widget demonstration of magicgui."""
import datetime
from enum import Enum
from pathlib import Path
from magicgui import magicgui
class Medium(Enum):
"""Enum for various media and their refractive indices."""
Glass = 1.520
Oil = 1.515
Water = 1.333
Air = 1.0003
@magicgui(
main_window=T... | [
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1... |
python/lib/path/dijkstra_dense.py | KATO-Hiro/atcoder-1 | 0 | 1600733 | """<https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm>"""
import sys
import numba as nb
import numpy as np
input = sys.stdin.readline
# Dijkstra algorithm without priority queue (this is slow for sparse graphs)
@nb.njit("i8[:](i8,i8[:,:],i8,i8)", cache=True)
def dijkstra(V, G, s, INF):
# Shortest path from v... | [
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exercicios/Lista1/Q27.py | AlexandrePeBrito/CursoUdemyPython | 0 | 1601996 | <gh_stars>0
#Leia um valor de area em hectares e apresente-o convertido em metros quadrados.
#a formula de conversao eh: M=H*10000
#sendo M a area em metros quadrado e H area em hectaries
h=float(input("Informe a area em hectares: "))
m=h*10000
print(f"A area convertida em metros quadrados eh {round(m,2)}") | [
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lyrics_crawler_single/lyric_spider.py | Tauranis/lyrics-crawler | 0 | 86147 | <gh_stars>0
import scrapy
import logging
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
try:
from lyrics_crawler_single.constants import (
OUTPUT_FILE,
)
except:
from constants import OUTPUT_FILE
class LyricsSpider(scrapy.Spider):
name = "lyrics"
... | [
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2... |
silx/gui/plot/actions/control.py | linupi/silx | 2 | 1608287 | <gh_stars>1-10
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2004-2019 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "S... | [
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2... |
Configuration/StandardSequences/python/RawToDigi_Repacked_cff.py | nistefan/cmssw | 0 | 165674 | import FWCore.ParameterSet.Config as cms
from Configuration.StandardSequences.RawToDigi_cff import *
scalersRawToDigi.scalersInputTag = 'rawDataRepacker'
csctfDigis.producer = 'rawDataRepacker'
dttfDigis.DTTF_FED_Source = 'rawDataRepacker'
gctDigis.inputLabel = 'rawDataRepacker'
gtDigis.DaqGtInputTag = 'rawDataRepack... | [
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boards/apollo2_evb/examples/multi_boot_secure_sample/generate_secureboot_assets.py | wher0001/AmbiqSuiteSDK | 25 | 97958 | #!/usr/bin/env python3
import argparse
import sys
import os
# This key table has to match the one in bootloader
keyTbl = [0xDEADBEEF, 0xAAAAAAAA, 0x11111111, 0x00000000, 0xFFFFFFFF, 0x55555555, 0xA5A5A5A5, 0x66666666]
#******************************************************************************
#
# Main function
#... | [
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riseofsavior.py | aimogue/Adventure-game---Rise-of-Savior | 2 | 127973 | import sys
import os
import time
import random
import keyboard
from console.screen import sc
from rich.console import Console
mythical_creature_list = None
male_name_list = None
both_sex_name_list = None
name_of_queen = None
weapon_type_list = None
your_weapon_type = None
name_of_trainer = None
... | [
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13... |
qiskit/transpiler/passes/optimization/optimize_1q_decomposition.py | rao107/qiskit-terra | 0 | 196132 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | [
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... |
sdk/python/pulumi_gcp/compute/region_instance_group_manager.py | sisisin/pulumi-gcp | 121 | 42004 | <filename>sdk/python/pulumi_gcp/compute/region_instance_group_manager.py<gh_stars>100-1000
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.... | [
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resource/pypi/cffi-1.9.1/demo/api.py | hipnusleo/Laserjet | 0 | 67486 | <gh_stars>0
import cffi
from cffi import FFI
class PythonFFI(FFI):
def __init__(self, backend=None):
FFI.__init__(self, backend=backend)
self._pyexports = {}
def pyexport(self, signature):
tp = self._typeof(signature, consider_function_as_funcptr=True)
def decorator... | [
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4770,... |
ReLERNN/imports.py | peterdfields/ReLERNN | 14 | 40829 | import glob
import pickle
import sys
import msprime as msp
import numpy as np
import os
import multiprocessing as mp
import shutil
import random
import copy
import argparse
import h5py
import allel
import time
from sklearn.neighbors import NearestNeighbors
from sklearn.utils import resample
import matplotlib as mpl
m... | [
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3509... |
get_episodes.py | sam-drew/random-episodes | 0 | 157092 | <gh_stars>0
from selenium import webdriver
import time
def log_id(ID):
f = open("IDs.txt", "a")
f.write((str((ID + "\n"))))
f.close()
print("Logging ID: " + ID)
def strip_id(url):
splitString = url.rsplit("?", 1)
splitString = splitString[0].rsplit("/")
ep_id = splitString[len(splitString)... | [
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lesson7/exercise1b.py | mfeindt0705/pynetmf | 0 | 186628 | #!/usr/bin/nv python3
from lxml import etree
f = open("show_security_zones.xml")
lines = f.read()
my_xml = etree.fromstring(lines)
bstring = etree.tostring(my_xml)
print(bstring.decode())
| [
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5... |
flaskbb/utils/helpers.py | konstantin1985/forum | 0 | 114305 | <filename>flaskbb/utils/helpers.py
# -*- coding: utf-8 -*-
"""
flaskbb.utils.helpers
~~~~~~~~~~~~~~~~~~~~
A few helpers that are used by flaskbb
:copyright: (c) 2014 by the FlaskBB Team.
:license: BSD, see LICENSE for more details.
"""
import re
import time
import itertools
import operator
import ... | [
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677... |
students/k3343/laboratory_works/Berezhnova_Marina/laboratory_work_1/django_project_flights/flights_app/models.py | TonikX/ITMO_ICT_-WebProgramming_2020 | 10 | 25183 | <gh_stars>1-10
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Companies(models.Model):
name = models.CharField(max_length=30)
def __str__(self):
return "{}".format(self.name)
class Gates(models.Model):
name = models.CharField(max_length=... | [
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flextensor/testing/others/hand-craft/tune_conv2d_NCHWc.py | jcf94/FlexTensor | 4 | 98761 | <gh_stars>1-10
from __future__ import absolute_import
import time
import json
import tvm
from flextensor.task import register_task, Task
from flextensor.measure import _evaluate
from flextensor.nn import conv2d_nchwc
from flextensor.configs.conv2d_config import yolo_shapes_b1
from flextensor.scheduler import schedule,... | [
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6036,
... |
tests/pytests/test_tags.py | wayn111/RediSearch | 0 | 2914 | <filename>tests/pytests/test_tags.py
# -*- coding: utf-8 -*-
from includes import *
from common import *
def search(env, r, *args):
return r.execute_command('ft.search', *args)
def testTagIndex(env):
r = env
env.expect('ft.create', 'idx', 'ON', 'HASH','schema', 'title', 'text', 'tags', 'tag').ok()
N ... | [
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scrips/rename.py | YingqiLiulll/scrips_for_SR | 0 | 94939 |
import numpy as np
import os
from skimage import io
path = r'/data1/zyli/benchmark/Set5/LR_bicubic/X4/'
img_path = sorted([os.path.join(path, name) for name in os.listdir(path) if name.endswith('.png')])###这里的'.tif'可以换成任意的文件后缀
for i in range(len(img_path)):
img_name = img_path[i]
print(img_name)
name = im... | [
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monitor_sdk/api/translate/translate_client.py | easyopsapis/easyops-api-python | 5 | 130973 | # -*- coding: utf-8 -*-
import os
import sys
import monitor_sdk.api.translate.list_translate_data_pb2
import monitor_sdk.api.translate.list_translate_rule_pb2
import monitor_sdk.utils.http_util
import google.protobuf.json_format
class TranslateClient(object):
def __init__(self, server_ip="", server_port=0, se... | [
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29906,... |
problem_49/test_prime_permutations.py | plilja/project-euler | 0 | 34913 | <filename>problem_49/test_prime_permutations.py
import unittest
from prime_permutations import *
class PrimePermutationsTest(unittest.TestCase):
def test_prime_permutations(self):
self.assertEqual(sorted(prime_permutations()), sorted([2969, 6299, 9629]))
if __name__ == '__main__':
unittest.main()
| [
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djangular_serve/__init__.py | forafekt/djangular-serve | 0 | 188261 | <reponame>forafekt/djangular-serve
from .serve import main
| [
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test/test_dgcspn.py | fedelux3/deeprob-kit | 0 | 113191 | <reponame>fedelux3/deeprob-kit
import unittest
import torch
import numpy as np
from deeprob.spn.layers.dgcspn import SpatialGaussianLayer, SpatialProductLayer, SpatialSumLayer, SpatialRootLayer
class TestDgcSpn(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestDgcSpn, self).__init__(*arg... | [
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29277... |
app/editor/new_game_dialog.py | zerorock1312/lt-maker-master | 0 | 141937 | from PyQt5.QtWidgets import QVBoxLayout, QDialog, QLineEdit, QDialogButtonBox
from app.extensions.custom_gui import PropertyBox, Dialog
class NewGameDialog(Dialog):
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("New Game")
self.window = parent
layout... | [
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... |
cassie/misc/plotting_ex.py | WooQi57/cassie-run | 36 | 77487 | import numpy as np
import time
import math
# from cassie_env import CassieEnv
from cassiemujoco import *
from trajectory.trajectory import CassieTrajectory
import matplotlib.pyplot as plt
from matplotlib import style
from matplotlib.animation import FuncAnimation
import matplotlib.animation as animation
from mpl_too... | [
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105... |
cli.py | superiorbocal/AnPy | 1 | 195983 | <reponame>superiorbocal/AnPy
import argparse
import sqlite3
from tabulate import tabulate
from anpy_lib import file_management
from anpy_lib import table_generator
from anpy_lib.data_handling import SQLDataHandler
def set_up():
file_management.create_anpy_dir_if_not_exist()
handler = SQLDataHandler(sqlite3.... | [
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... |
congd/split_MFSK_features.py | dailai/ConGD-Baseline-Method | 8 | 1604212 | <reponame>dailai/ConGD-Baseline-Method<gh_stars>1-10
import copy
import os
import shutil
def check_create_par_dir(file_path):
dir_ = os.path.dirname(file_path)
if not os.path.exists(dir_):
os.makedirs(dir_)
def split_feat(feats, seg_points, save_path):
feats_copy = copy.copy(feats)
check_cre... | [
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528,
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... |
batuta/base.py | makecodes/batuta | 0 | 28294 | from dynaconf import FlaskDynaconf
from flask import Flask
def create_app(**config):
app = Flask(__name__)
FlaskDynaconf(app) # config managed by Dynaconf
app.config.load_extensions('EXTENSIONS') # Load extensions from settings.toml
app.config.update(config) # Override with passed config
return... | [
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1... |
tests/test_pllcalcs.py | bobbyjsmith11/pll | 0 | 185264 | <filename>tests/test_pllcalcs.py
from unittest import TestCase
from pll.pll_calcs import *
class TestGeneralFunctions(TestCase):
def test_interp_linear_1(self):
""" test the linear interpolator with a value within the x array
"""
test_var = interp_linear([10,20], [1,2], 12)
self.... | [
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... |
scripts/courtlistener/tokenizeText.py | sandeepsoni/semantic-progressiveness | 2 | 135136 | """ Tokenize and tag documents from a .jsonl file """
import spacy
import ujson
import plac
import os
import sys
import logging
if "../../" not in sys.path:
sys.path.append ("../../")
from modules import constants
TAGGED_EXT=".tokenized"
MAX_LENGTH = 10000000
NLP = spacy.load ("en_core_web_sm")
NLP.max_length = M... | [
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evaluate/evaluate_debug.py | goodgodgd/vode-2020 | 4 | 22984 | <filename>evaluate/evaluate_debug.py
import os
import os.path as op
import numpy as np
import pandas as pd
import cv2
import tensorflow as tf
import settings
from config import opts
from tfrecords.tfrecord_reader import TfrecordReader
import utils.util_funcs as uf
import utils.convert_pose as cp
from model.synthesize.... | [
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app/utilities/__init__.py | Maxyme/movie-review | 0 | 108869 | <filename>app/utilities/__init__.py
"""app utilities"""
| [
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13,
2
] |
src/data/batchloader.py | jiahui890/chexpert-aml | 0 | 51247 | <reponame>jiahui890/chexpert-aml<gh_stars>0
import pandas as pd
import numpy as np
class BatchLoader:
def __init__(self, dataset, batch_size, return_labels=None, without_image=False, return_X_y=True):
self.dataset = dataset
self.batch_size = batch_size
self.return_labels = return_labels
... | [
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1... |
src/data/prepare_train_data.py | ds-praveenkumar/m5-accuracy-prediction | 0 | 30966 | # github link: https://github.com/ds-praveenkumar/kaggle
# Author: ds-praveenkumar
# file: forcasting/prepare_train_data.py/
# Created by ds-praveenkumar at 13-06-2020 15 34
# feature:
import os
import pandas as pd
import numpy as np
import click
from src.utility.timeit import timeit
root = os.path.dirname(os.getcwd(... | [
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292... |
basic-programs/tensor_autograd.py | lcskrishna/my-pytorch-experiments | 0 | 191531 | import torch
x = torch.ones(2,2, requires_grad = True)
print (x)
y = x + 2
print (y)
print (y.grad_fn)
z = y * y * 3
out = z.mean()
print (z)
print (out)
a = torch.randn(2,2)
a = ((a * 3)/ (a - 1))
print (a.requires_grad)
a.requires_grad_(True)
print (a.requires_grad)
b = (a * a).sum()
print (b.grad_fn)
out.backwa... | [
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13... |
examples/topic_with_admin_key.py | wensheng/hedera-sdk-py | 9 | 1602489 | from hedera import (
PrivateKey,
KeyList,
TopicCreateTransaction,
TopicUpdateTransaction,
TopicInfoQuery,
)
from get_client import client
initialAdminKeys = [PrivateKey.generate() for i in range(3)]
thresholdKey = KeyList.of(initialAdminKeys[0], initialAdminKeys[1])
# Create topic
tran = Topic... | [
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13... |
lingvo/tasks/asr/tools/simple_wer_v2.py | allenwang28/lingvo | 2,611 | 132399 | # Lint as: python3
# Copyright 2018 The TensorFlow Authors. 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 ... | [
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2... |
graph_analysis/deprecated/gensim_embedding.py | roy860328/VSGM | 6 | 1607747 | # https://stackoverflow.com/questions/35747245/bigram-to-a-vector
# Bigram to a vector
from gensim.models import word2vec, Phrases
from glove_embedding import load_object
import gensim.downloader as api
def five():
word_vectors = api.load("glove-wiki-gigaword-100")
word_vectors["apple"].shape
five()
def bigram... | [
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26943,
326,
29889,
... |
src/tasks.py | accraze/stream-processor | 0 | 139377 | import time
from src.celery import app
@app.task(bind=True, default_retry_delay=10)
def process_event(self, event):
process_change(event['wait'])
return event
def process_change(wait_secs):
start = time.time()
while time.time() - start < wait_secs:
time.sleep(0.001)
| [
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1... |
data/vispapers/preprocess.py | sonne-academic/solr-utils | 0 | 106721 | from data.vispapers import read_all, DATA_FOLDER
import json
import gzip
def preprocess():
with gzip.open(DATA_FOLDER / 'vispapers.jsonl.gz', 'wt', encoding='utf-8') as file:
for document in read_all():
file.write(json.dumps(document)+'\n')
if __name__ == '__main__':
preprocess() | [
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restore-firm0firm1.py | ihaveamac/hardmod-b9s-installer | 13 | 1604545 | <gh_stars>10-100
#!/usr/bin/env python3
import os
import sys
import time
def doexit(msg, errcode=0):
print(msg)
input('Press Enter to continue...')
sys.exit(errcode)
def doexit(msg, errcode=0):
print(msg)
input('Press Enter to continue...')
sys.exit(errcode)
if not os.path.isfile('NAND-pa... | [
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76... |
pyscript/apps/temp/old/load_optimizer.py | janiversen/ha_config | 0 | 43893 | <gh_stars>0
@state_trigger("sensor.power_meter != '9999'")
def load_optimizer(value=None):
pass
| [
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2... |
iocage/cli/stop.py | project-fifo/iocage | 0 | 199178 | <gh_stars>0
"""stop module for the cli."""
import logging
from collections import OrderedDict
from operator import itemgetter
import click
from iocage.lib.ioc_json import IOCJson
from iocage.lib.ioc_list import IOCList
from iocage.lib.ioc_stop import IOCStop
__cmdname__ = "stop_cmd"
__rootcmd__ = True
@click.comma... | [
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1053,
2944,
657,
357,
13,
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5215,
2828,
13,
13,
3166... |
data_split.py | TalSchuster/FewRel | 0 | 15771 | <reponame>TalSchuster/FewRel<filename>data_split.py
import os
import random
from shutil import copyfile
import json
random.seed(123)
ROOT_PATH = './data/'
k = 5
target_path = './data/wiki_5_splits/'
'''
Splits the training set to 5 folds.
In each split, the held out set is used for test.
'''
path = os.path.join(RO... | [
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server/core/views/api/admin_jenkins_job.py | FranciscoShi/jenkins-gitlab-integrator | 2 | 153247 | import json
from functools import partial
from aiohttp import web
from aiohttp.web_exceptions import HTTPConflict
from server.core.common import LoggingMixin
from server.core.json_encoders import CustomJSONEncoder
from server.core.models import RecordNotFound
from server.core.models.jenkins_jobs import JenkinsJob
fro... | [
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pyfarm/models/job.py | guidow/pyfarm-master | 0 | 186500 | <filename>pyfarm/models/job.py
# No shebang line, this module is meant to be imported
#
# Copyright 2013 <NAME>
#
# 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/li... | [
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tests/processors.py | rysdyk/avocado | 0 | 124603 | <reponame>rysdyk/avocado
from avocado.models import DataContext
from avocado.query.pipeline import QueryProcessor
class ManagerQueryProcessor(QueryProcessor):
def __init__(self, *args, **kwargs):
kwargs['context'] = DataContext(json={
'field': 'tests.employee.is_manager',
'operator... | [
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formatting.py | yvesdubief/biofeedback | 0 | 184986 | %matplotlib inline
# plots graphs within the notebook
%config InlineBackend.figure_format='svg' # not sure what this does, may be default images to svg format
from IPython.display import display,Image, Latex
from __future__ import division
from sympy.interactive import printing
printing.init_printing(use_latex='mathj... | [
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jenkins_job_wrecker/__init__.py | chenhuahuan/jenkins-job-wrecker | 210 | 141507 | __version__ = '1.7.1'
| [
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python/dgllife/model/pretrain/__init__.py | VIGNESHinZONE/dgl-lifesci | 0 | 15229 | # -*- coding: utf-8 -*-
#
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
#
# pylint: disable= no-member, arguments-differ, invalid-name
#
# Utilities for using pre-trained models.
import torch
from dgl.data.utils import _get_dgl_url, download
from .molecule... | [
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ptmv/snd.py | ryw89/ptmv | 0 | 46975 | import os
import subprocess
import tempfile
import time
import wave
import simpleaudio
def extract(file):
ptmv_tempdir = os.path.join(tempfile.gettempdir(), "ptmv")
if not os.path.exists(ptmv_tempdir): os.makedirs(ptmv_tempdir)
snd_file = ptmv_tempdir + str(int(time.time())) + ".wav"
command = "ffmpeg -i " + file ... | [
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wsgi/openshift/manage.py | chiora93/WavelenBlog | 0 | 181173 | #!/usr/bin/env python
import settings.development as settings
import os, sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settings.development")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv) | [
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Tutorials/10 Days of Statistics/Day 5 - Poisson Distribution I/solution.py | abhinavgunwant/hackerrank-solutions | 1 | 158924 | #!/bin/python3
# Calculates factorial
def fact(n):
f = 1
while n > 0:
f *= n
n -= 1
return f
# Calculates Poisson Distribution
def poissonDist(k, l):
return (l**k*(2.71828**(-l)))/fact(k)
if __name__ == '__main__':
x = float(input())
y = float(input())
print(... | [
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manyfaced/common/arguments.py | Zloool/mlgwebhoneypot | 8 | 1607948 | import argparse
import sys
import settings
"""
usage: mfh.py [-h] [-c [PORT]] [-s [PORT]] [-u] [-v]
Serve some sweet honey to the ubiquitous bots!
optional arguments:
-h, --help show this help message and exit
-c [PORT] port to start a CLIENT on
-s [PORT] port to start a SERVER on
-u ... | [
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setup.py | edwardchalstrey1/mapreader-plant-scivision | 0 | 94654 | #!/usr/bin/env python
from setuptools import find_packages, setup
requirements = []
with open("requirements.txt") as f:
for line in f:
stripped = line.split("#")[0].strip()
if len(stripped) > 0:
requirements.append(stripped)
setup(
name="mapreader-plant-scivision",
version="0.0... | [
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cairis/gui/DictionaryListCtrl.py | RachelLar/cairis_update | 0 | 12246 | # 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... | [
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girder/girder_large_image/rest/large_image_resource.py | girder/large_image | 85 | 196616 | ##############################################################################
# Copyright Kitware 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/lice... | [
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dante.py | jbudis/dante | 4 | 164322 | <filename>dante.py
import matplotlib
matplotlib.use('Agg')
import os
import cProfile
import pstats
import multiprocess
import sys
from datetime import datetime
import traceback
import logging
import arguments
from parser import ReadFile
import prefiltering
import templates
import report
import annotation
import post... | [
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QuillSourceProcessor.py | Sturtuk/IND_langTras | 78 | 149853 | <reponame>Sturtuk/IND_langTras<filename>QuillSourceProcessor.py
# -*- coding: utf-8 -*-
# @Date : Jul 13, 2016
# @Author : <NAME>, <NAME>
# @Version : 1
import QuillLanguage as qlang
import QuillEngXlit as xlit
import re
import const
import primaryHelper
class QuillSourceProcessor(object):
def __i... | [
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python/simplepvr/simple_pvr/pvr_initializer.py | olefriis/simplepvr | 5 | 77280 | # -*- coding: <utf-8> -*-
from .config import config
from datetime import timedelta
import os
from time import sleep
from .master_import import HDHomeRun
from .master_import import RecordingManager
from .master_import import Scheduler
from .server import app
_config_recordings_path = config.get('SimplePVR', 'recor... | [
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src/opendr/control/mobile_manipulation/mobileRL/evaluation.py | makistsantekidis/opendr | 3 | 161601 | <reponame>makistsantekidis/opendr<gh_stars>1-10
# Copyright 2020-2021 OpenDR European Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | [
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code/lip_tracking/speech_feature_extraction/speechpy/feature.py | hengxyz/Talking-head-Audio-Visual-Matching | 1 | 157818 | <filename>code/lip_tracking/speech_feature_extraction/speechpy/feature.py<gh_stars>1-10
from __future__ import division
import numpy as np
from . import processing
from scipy.fftpack import dct
import math
from . import functions
def filterbanks(num_filter, fftpoints, sampling_freq, low_freq=None, high_freq=None):
... | [
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democracy/signals.py | shawnadelic/django-democracy | 0 | 94905 | from django.contrib.contenttypes.models import ContentType
from django.db.models.signals import post_save
from django.dispatch import receiver
from .models import (PollBase, PollChoiceBase, PollChoiceModelMixin,
PollModelMixin)
@receiver(post_save)
def create_poll_choice(sender, instance, create... | [
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13,
13,
3166,
869,
9794,
1053,... |
examples/class_a.py | maxschommer/pcbdl | 117 | 111737 | #!/usr/bin/env python3
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | [
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3... |
gaphor/C4Model/toolbox.py | mrmonkington/gaphor | 42 | 134550 | """The action definition for the C4 model toolbox."""
from gaphor.C4Model import c4model, diagramitems
from gaphor.core import gettext
from gaphor.diagram.diagramtoolbox import (
ToolboxDefinition,
ToolDef,
ToolSection,
default_namespace,
general_tools,
namespace_config,
)
from gaphor.diagram.d... | [
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726,
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31... |
Sixt_Day/Seventh_Day_Templet1.py | vijayingale/Adv_Python_Trainig | 0 | 170333 | from jinja2 import Template
class Persone:
def __init__(self, name ,age):
self.name = name
self.age = age
def getAge(self):
return self.age
def getName(self):
return self.name
person = Persone('peter',23)
tn = Template("my name is {{ per.getName()}} and I am {{ per.getAge... | [
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downloads/managers.py | akondasif/Clone-test-repo | 0 | 176135 | <filename>downloads/managers.py
from django.db.models import Manager
from django.db.models.query import QuerySet
class ReleaseQuerySet(QuerySet):
def published(self):
return self.filter(is_published=True)
def draft(self):
return self.filter(is_published=False)
def downloads(self):
... | [
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23708,
3010,
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mojoco trivial/mujocoSim/UR5/simple_example/Mujoco_py_example.py | garlicbutter/Jonathan-Tom | 2 | 8335 | <filename>mojoco trivial/mujocoSim/UR5/simple_example/Mujoco_py_example.py
import numpy as np
import mujoco_py as mj
from mujoco_py_renderer import SimulationError, XMLError, MujocoPyRenderer
from mujoco_py import (MjSim, load_model_from_xml,functions,
load_model_from_path, MjSimState,
... | [
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29926... |
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