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/sentry/api/bases/incident.py | overquota/sentry | 1 | 12788751 | from __future__ import absolute_import
from sentry.api.bases.organization import OrganizationPermission
class IncidentPermission(OrganizationPermission):
scope_map = {
'GET': ['org:read', 'org:write', 'org:admin'],
'POST': ['org:write', 'org:admin'],
'PUT': ['org:write', 'org:admin'],
... | 1.71875 | 2 |
python/003.py | Evergreen200/projecteuler | 0 | 12788752 | <filename>python/003.py<gh_stars>0
def is_prime(n):
for i in range(2, int(n / 2) + 1):
if n % i == 0 and n != i:
return False
return True
def solution(n):
for i in range(1, n):
if n % i == 0:
p = n // i
if is_prime(p):
return p
if __name... | 3.78125 | 4 |
model_src/black_white/bw_network/backward_model_direction.py | imbyjuli/blackboard-tensorflow-nrp | 0 | 12788753 | <reponame>imbyjuli/blackboard-tensorflow-nrp<filename>model_src/black_white/bw_network/backward_model_direction.py<gh_stars>0
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Imports
import numpy as np
import tensorflow as tf
import cv2
import csv
from back... | 2.34375 | 2 |
tests/scrubber/sensitive_string_scrubber_test.py | cgruber/make-open-easy | 5 | 12788754 | #!/usr/bin/env python
# Copyright 2009 Google Inc. All Rights Reserved.
"""Tests for finding sensitive strings."""
__author__ = '<EMAIL> (<NAME>)'
from google.apputils import resources
from google.apputils import basetest
from moe import config_utils
from moe.scrubber import sensitive_string_scrubber
import test_ut... | 2.75 | 3 |
hypertrophy_dataset.py | dozsam13/LHYP | 0 | 12788755 | from torch.utils.data import Dataset
from torchvision import transforms
import torch
class HypertrophyDataset(Dataset):
def __init__(self, images, targets, device):
self.images = images
self.targets = targets
self.device = device
self.augmenter = transforms.Compose([
tr... | 2.71875 | 3 |
constants.py | Kaoline/ShinobiTool | 0 | 12788756 | # file --constants.py--
waiting_message = "Opération en cours... Ça peut être long, et ça bloque la fenêtre."
default_search_file = "Shinobis.txt"
default_receivers_file = "Destinataires.txt"
default_moles_file = "Ennemis.txt"
default_message_file = "Message.txt"
default_config_file = "Config.txt" | 1.148438 | 1 |
hawser/errors.py | 5elenay/hawser | 4 | 12788757 | class UserNotMonitoredError(Exception):
"""Raises when user not monitored."""
pass
class LanyardException(Exception):
"""Raises when lanyard gives success false but we don't have a support for the exception."""
pass
| 2.03125 | 2 |
oecp/main/category.py | openeuler-mirror/oecp | 0 | 12788758 | # -*- encoding=utf-8 -*-
"""
# **********************************************************************************
# Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.
# [oecp] is licensed under the Mulan PSL v1.
# You can use this software according to the terms and conditions of the Mulan PSL ... | 1.929688 | 2 |
src/bleanser/modules/firefox.py | karlicoss/bleanser | 13 | 12788759 | #!/usr/bin/env python3
from pathlib import Path
from sqlite3 import Connection
from bleanser.core import logger
from bleanser.core.utils import get_tables
from bleanser.core.sqlite import SqliteNormaliser, Tool
class Normaliser(SqliteNormaliser):
DELETE_DOMINATED = True
MULTIWAY = True
def __init__(sel... | 2.21875 | 2 |
Problems/Two Pointers/easy/ReverseOnlyLetters/reverse_only_letters.py | dolong2110/Algorithm-By-Problems-Python | 1 | 12788760 | def reverseOnlyLetters(s: str) -> str:
s = list(s)
l, r = 0, len(s) - 1
while l < r:
if not s[l].isalpha():
l += 1
elif not s[r].isalpha():
r -= 1
else:
s[l], s[r] = s[r], s[l]
l += 1
r -= 1
return ''.join(s)
| 3.5625 | 4 |
HarTex/cmds/censor.py | HTG-YT/hartex-discord.py | 4 | 12788761 | <filename>HarTex/cmds/censor.py
import discord
from discord.ext import commands
import re
import yaml
from better_profanity import profanity
from core.classes import *
def is_zalgo_nickname_enabled(guild_id):
with open(f'configurations/{guild_id}_config.yaml', 'r') as zalgo_prevention_enabled:
accesso... | 2.296875 | 2 |
day2/passValidator.py | IvantheDugtrio/adventofcode2020 | 0 | 12788762 | <filename>day2/passValidator.py<gh_stars>0
#!/usr/bin/env python3
import sys
validCount = 0
lineCount = 0
with open(sys.argv[1],'r') as fp:
for line in fp:
lineCount+=1
criteria = line.split(": ")[0]
password = line.split(": ")[1].strip()
keyChar = criteria.split(" ")[1]
key... | 3.703125 | 4 |
tests/utest/oxygen/test_oxygen_listener.py | vrchmvgx/robotframework-oxygen | 0 | 12788763 | <filename>tests/utest/oxygen/test_oxygen_listener.py
from unittest import TestCase
from unittest.mock import Mock, patch
from oxygen import listener
class OxygenListenerBasicTests(TestCase):
def setUp(self):
self.listener = listener()
def test_listener_api_version_is_not_changed_accidentally(self):
... | 2.578125 | 3 |
src/sendresults.py | ldolberg/the_port_ors_hdx | 0 | 12788764 | <reponame>ldolberg/the_port_ors_hdx<gh_stars>0
import pandas as pd
import json
def return_jsonlist(district,lat,lon,tag,json_list):
# -- open 'Nepal_F_Tagged.csv'
new_df = pd.read_csv('../data/Nepal/Nepal_F_Tagged.csv')
total, percentage = total_percent_from_district_tag(district, tag, df)
# -- get di... | 3.078125 | 3 |
examples/basic/mesh_threshold.py | Gjacquenot/vtkplotter | 7 | 12788765 | <filename>examples/basic/mesh_threshold.py
"""
Extracts the cells where scalar value
satisfies a threshold criterion.
"""
from vtkplotter import *
doc = Text(__doc__)
man = load(datadir+"man.vtk")
scals = man.coordinates()[:, 1] + 37 # pick y coords of vertices
man.pointColors(scals, cmap="cool")
man.addScalarBar(... | 2.875 | 3 |
coviddata.py | Paul567/MBCovidVaxTracker | 0 | 12788766 | import requests
import json
class CovidData:
__data = [{}]
__province = ''
__population = -1
def __init__(self, province):
self.__province = province.upper()
reports = json.loads(
requests.get(
'https://api.covid19tracker.ca/reports/province/' +
... | 3.015625 | 3 |
helpscout/endpoints/endpoint.py | Gogen120/helpscout | 0 | 12788767 | from typing import Dict
import requests
import helpscout.exceptions as exc
class Endpoint:
"""Base endpoint class."""
def __init__(self, client, base_url: str):
"""
Params:
client: helpscout client with credentials
base_url: url for endpoint
"""
self.... | 2.703125 | 3 |
geocamUtil/Installer.py | geocam/geocamUtilWeb | 4 | 12788768 | #!/usr/bin/env python
# __BEGIN_LICENSE__
#Copyright (c) 2015, United States Government, as represented by the
#Administrator of the National Aeronautics and Space Administration.
#All rights reserved.
# __END_LICENSE__
import os
import logging
import stat
from glob import glob
import shutil
import itertools
from g... | 2.015625 | 2 |
train_model.py | olaals/end-to-end-RGB-pose-estimation-baseline | 2 | 12788769 | #from models.baseline_net import BaseNet
import torch
from data_loaders import *
from image_dataloaders import get_dataloaders
from loss import compute_ADD_L1_loss, compute_disentangled_ADD_L1_loss, compute_scaled_disentl_ADD_L1_loss
from rotation_representation import calculate_T_CO_pred
#from models.efficient_net im... | 1.929688 | 2 |
stats.py | Vidar-Petersson/Gymnasiearbete | 0 | 12788770 | import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import seaborn as sns
import numpy as np
from misc import set_size
from scipy import stats
from scipy.interpolate import interp1d
from pandas.plotting import table
import statsmodels.api as sm
df_knolls_grund = pd.read_csv("data-set... | 2.46875 | 2 |
emotions.py | Omrigan/essay-writer | 33 | 12788771 | mat = [
'сука', "блять", "пиздец", "нахуй", "<NAME>", "епта"]
import random
import re
# strong_emotions = re.sub('[^а-я]', ' ', open('strong_emotions').read().lower()).split()
def process(txt, ch):
words = txt.split(" ")
nxt = words[0] + ' '
i = 1
while i < len(words) - 1:
if words[i - 1... | 3.15625 | 3 |
sdkAutomator/sdkAutomator.py | chebroluharika/SDK_Automation_Generator | 0 | 12788772 | import fnmatch
import executePythonResources
import writeEndPointsFile
import executeResources
import changeLogGenerator
import sys
import os
import shutil
from datetime import datetime
import json
import git # if git module is not found, use 'pip install gitpython'
resource_dict = {
'FC Networks': 'fc_net... | 1.945313 | 2 |
src/openpersonen/contrib/demo/converters/ouder.py | maykinmedia/open-personen | 2 | 12788773 | from django.conf import settings
from openpersonen.features.country_code_and_omschrijving.models import (
CountryCodeAndOmschrijving,
)
from openpersonen.features.gemeente_code_and_omschrijving.models import (
GemeenteCodeAndOmschrijving,
)
from openpersonen.utils.helpers import is_valid_date_format
def conv... | 2.078125 | 2 |
app/forms.py | samkreter/TigerBuilds-Website | 0 | 12788774 | from flask.ext.wtf import Form
from wtforms import BooleanField, TextField, PasswordField, validators
from wtforms.validators import DataRequired
from flask_wtf.file import FileField
class LoginForm(Form):
first_name = TextField('first_name', validators=[DataRequired()])
last_name = TextField('first_name', val... | 2.765625 | 3 |
vhoops/modules/on_call/ui/routes.py | yigitbasalma/vhoops | 4 | 12788775 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from flask import Blueprint, render_template
from flask_login import login_required
from vhoops.modules.teams.api.controllers import get_all_teams_func
from vhoops.modules.on_call.forms.new_on_call import NewOnCallSchedule
on_call_router = Blueprint("on_call_router", __name... | 2.203125 | 2 |
codes/Arms.py | imadaouali/bootstrapping-multi-armed-bandits | 0 | 12788776 | <reponame>imadaouali/bootstrapping-multi-armed-bandits
"""different classes of arms, all of them have a sample() method which produce rewards"""
import numpy as np
from random import random
from math import sqrt,log,exp
class Bernoulli:
def __init__(self,p):
# create a Bernoulli arm with mean p
... | 3.46875 | 3 |
categorical/plot_sweep.py | remilepriol/causal-adaptation-speed | 15 | 12788777 | import os
import pickle
from collections import defaultdict
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
def add_capitals(dico):
return {**dico, **{key[0].capitalize() + key[1:]: item for key, item in dico.items()}}
COLORS = {
'causal': 'blue',
'anti': 'red',
... | 2.640625 | 3 |
tests/v1tests/test_offices_view.py | Davidodari/POLITICO-API | 1 | 12788778 | from tests.v1tests import BaseTestCase
import json
class OfficeEndpointsTestCase(BaseTestCase):
def test_create_office(self):
"""Tests valid data POST Http method request on /offices endpoint"""
# Post, uses office specification model
response = self.client.post('api/v1/offices', data=jso... | 2.875 | 3 |
validate_signature/serializers.py | Arquitectura-de-Software-UFPS-2022-I/-validate-signature-api-documentation- | 0 | 12788779 | from rest_framework import serializers
class ValidateSerializer(serializers.Serializer):
class_label = serializers.IntegerField()
confidence = serializers.FloatField() | 1.890625 | 2 |
my_phonolammps/_lammps.py | araghukas/my-phonolammps | 1 | 12788780 | <reponame>araghukas/my-phonolammps<filename>my_phonolammps/_lammps.py
"""Here the original lammps class is wrapped to allow specifying the `modpath`"""
from lammps import *
from lammps import lammps
class MyLammps(lammps):
"""new version of the lammps class"""
# path to the directory containing liblammps.so ... | 2.4375 | 2 |
jabledl/downloader.py | Yooootsuba/jabledl | 10 | 12788781 | <reponame>Yooootsuba/jabledl
import time
import requests
import threading
class Downloader:
def __init__(self, segments, request_headers, requests_callback):
self.threads = []
self.threads_count = 0
self.threads_limit = 50
self.segments = segments
... | 3.15625 | 3 |
02 - Curso Em Video/Aula 15/E - 069.py | GabrielTrentino/Python_Basico | 0 | 12788782 | maior18 = 0
homens = 0
mulheres = 0
while True:
idade = int(input('Digite a idade: '))
sexo = str(input('Qual o sexo? [H/M] ')).strip().upper()[0]
if idade > 18:
maior18 += 1
if sexo == 'H':
homens += 1
if sexo == 'M' and idade < 20:
mulheres += 1
opcao = str(... | 3.734375 | 4 |
src/inmanta/compiler/help/explainer.py | inmanta/inmanta-core | 6 | 12788783 | """
Copyright 2018 Inmanta
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 1.953125 | 2 |
pyorderedfuzzy/ofmodels/ofautoreg.py | amarszalek/PyOrderedFuzzyTools | 0 | 12788784 | <reponame>amarszalek/PyOrderedFuzzyTools
# -*- coding: utf-8 -*-
import numpy as np
from pyorderedfuzzy.ofnumbers.ofnumber import OFNumber
from pyorderedfuzzy.ofmodels.ofseries import OFSeries
from scipy.optimize import minimize
from pyorderedfuzzy.ofmodels.oflinreg import ofns2array, array2ofns
from pyorderedfuzzy.of... | 2.28125 | 2 |
rts/game_MC/model_unit_cmd_lstm.py | BOBSTK/ELF | 0 | 12788785 | <reponame>BOBSTK/ELF
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from torch.autograd import Variable
from copy import deepcopy
f... | 1.929688 | 2 |
egs/librispeech/ASR/pruned_stateless_emformer_rnnt2/test_emformer.py | zhu-han/icefall | 0 | 12788786 | <reponame>zhu-han/icefall<gh_stars>0
#!/usr/bin/env python3
# Copyright 2022 Xiaomi Corp. (authors: <NAME>)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Li... | 1.796875 | 2 |
cifar_imagenet/Attack_PGD_ResNet20.py | minhtannguyen/RAdam | 0 | 12788787 | # -*- coding: utf-8 -*-
"""
CW, FGSM, and IFGSM Attack CNN
"""
import torch._utils
try:
torch._utils._rebuild_tensor_v2
except AttributeError:
def _rebuild_tensor_v2(storage, storage_offset, size, stride, requires_grad, backward_hooks):
tensor = torch._utils._rebuild_tensor(storage, storage_offset, size... | 1.960938 | 2 |
racing_models/dronet_NASNetMobileAPI.py | gengliangyu2008/Intelligent-Navigation-Systems | 0 | 12788788 | <gh_stars>0
from tensorflow.keras import Model
from tensorflow.python.keras.applications import NASNetMobile
class Dronet(Model):
def __init__(self, num_outputs, include_top=True):
super(Dronet, self).__init__()
self.include_top = include_top
self.create_model(num_outputs)
def call(se... | 2.703125 | 3 |
any_all.py | VladimirsHisamutdinovs/Advanced_Python_Operations | 0 | 12788789 | <reponame>VladimirsHisamutdinovs/Advanced_Python_Operations<filename>any_all.py
def valid_rgb(rgb):
#check if rgb input tuple is within 0-255
for val in rgb:
if not 0 <= val <= 255:
return False
return True
# print(valid_rgb((255, 100, 255)))
# print(valid_rgb((255, 100, 256)... | 3.9375 | 4 |
records/fib_rec.py | Aniket-Wali/Measure-Of-Document-Similarities-MODS- | 0 | 12788790 | <reponame>Aniket-Wali/Measure-Of-Document-Similarities-MODS-
@profile
def nthfib(n):
if n <= 0:
return 0
elif n == 1:
return 1
else:
return nthfib(n-1) + nthfib(n-2)
for i in range(1,11):
print(nthfib(i))
| 3.296875 | 3 |
download_model.py | kylebarz/udacity-item-classifier | 0 | 12788791 | <gh_stars>0
from io import BytesIO
from urllib.request import urlopen
from zipfile import ZipFile
download_url = 'https://productid.azurewebsites.net/static/model_download/checkpoint-19.zip'
with urlopen(download_url) as zipresp:
with ZipFile(BytesIO(zipresp.read())) as zfile:
zfile.extractall('mo... | 2.59375 | 3 |
projects/Project 2 - Disaster Response Pipeline/data/process_data.py | xscbsx/Udacity_Nanodegree_DS | 0 | 12788792 | <filename>projects/Project 2 - Disaster Response Pipeline/data/process_data.py
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
'''
Load two datasets called categories and messages.
... | 3.359375 | 3 |
dynamite.py | coolioasjulio/Rock-Paper-Scissors-Royale | 0 | 12788793 | <filename>dynamite.py
# RPS Bot
import trutheyfalseybot as tfb
name = 'dynamite'
class RPSBot(object):
name = name
def __init__(self):
self.bot = tfb.RPSBot()
def get_hint(self, op_hist, my_hist):
if not len(op_hist):
return "S"
if op_hist[0] == ['S', 'S']:
... | 2.828125 | 3 |
day16.py | danvk/advent2019 | 3 | 12788794 | <gh_stars>1-10
#!/usr/bin/env python
import fileinput
import time
import numpy as np
BASE_PATTERN = [0, 1, 0, -1]
def digits(x):
return np.asarray([int(d) for d in str(x)])
def fft(inputs):
N = len(inputs)
# cumsum = [0] * N
# cumsum[0] = inputs[0]
# for i in range(1, N):
# cumsum[i]... | 2.6875 | 3 |
python/moveZeroToTheEnd.py | raulpy271/challengeMe | 3 | 12788795 | <reponame>raulpy271/challengeMe
# Description: https://www.codewars.com/kata/52597aa56021e91c93000cb0
def isZero(value):
typeOfValue = type(value).__name__
if typeOfValue == 'int' or typeOfValue == 'float':
if value == 0 or value == 0.0:
return True
return False
def count_zeros(list):
... | 3.609375 | 4 |
sample_problems/problems_with_solution100.py | adi01trip01/adi_workspace | 0 | 12788796 | # Write a Python program to get the name of the host on which the routine is running.
import socket
host_name = socket.gethostname()
print("Host name:", host_name)
| 3.046875 | 3 |
poetry/mixology/graph/add_vertex.py | batisteo/poetry | 0 | 12788797 | from .action import Action
from .vertex import Vertex
_NULL = object()
class AddVertex(Action):
def __init__(self, name, payload, root):
super(AddVertex, self).__init__()
self._name = name
self._payload = payload
self._root = root
self._existing_payload = _NULL
s... | 2.640625 | 3 |
tests/collections/reconstruction/fastmri/conftest.py | jerke123/mridc | 0 | 12788798 | # encoding: utf-8
__author__ = "<NAME>"
# Parts of the code have been taken from https://github.com/facebookresearch/fastMRI
import numpy as np
import pytest
import torch
from tests.collections.reconstruction.fastmri.create_temp_data import create_temp_data
# these are really slow - skip by default
SKIP_INTEGRATION... | 2.3125 | 2 |
SimHash/SimHashBuckets.py | gister9000/Big-Data | 0 | 12788799 | <filename>SimHash/SimHashBuckets.py
import sys
from hashlib import md5
B = 8 # number of buckets
hashlen = 128 # md5 128 bits
Bsize = 16 # 128 / 8 = 16 bits
lines = sys.stdin.read().splitlines()
N = int( lines[0] )
Q = int( lines[ N+1 ] )
texts = lines[ 1 : N+1 ]
queries = lines[ N+2 : N+2+Q ]
simhashes = [ ]
can... | 2.890625 | 3 |
docs/mcpi/mcsim-klasy/mcsym.py | damiankarol7/python101 | 44 | 12788800 | <filename>docs/mcpi/mcsim-klasy/mcsym.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class Symulacja(object):
"""
Klasa pomocnicza. Pozwala odseparować kod.
"""
mc = None # obiekt reprezentujący serwer MC
block = None # obiekt reprezentujący dostępne bloki
def __init__(self, mc, block):
... | 2.59375 | 3 |
cogs/moderation.py | spicydragonroll/Mr.-Humpbottom | 0 | 12788801 | import discord
from discord import Forbidden
from discord.ext import commands
from discord.http import Route
from utils import checks
MUTED_ROLE = "316134780976758786"
class Moderation:
def __init__(self, bot):
self.bot = bot
self.no_ban_logs = set()
@commands.command(hidden=True, pass_cont... | 2.390625 | 2 |
custom_components/tibber_custom/__init__.py | niklasosth/home_assistant_tibber_custom | 0 | 12788802 | """Tibber custom"""
import logging
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from homeassistant.const import EVENT_HOMEASSISTANT_START
from homeassistant.helpers import discovery
DOMAIN = "tibber_custom"
CONF_USE_DARK_MODE = "use_dark_mode"
CONFIG_SCHEMA = vol.Schema({
DOMAI... | 2.09375 | 2 |
lab-day/LabDayBackend/labday_api/apps.py | JanStoltman/LabDayBackend | 1 | 12788803 | from django.apps import AppConfig
class LabdayApiConfig(AppConfig):
name = 'labday_api'
| 1.078125 | 1 |
examples/tests/test_examples.py | avanwyk/cipy | 1 | 12788804 | <filename>examples/tests/test_examples.py
# Copyright 2016 <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/licenses/LICENSE-2.0
#
# Unless required by applica... | 2.109375 | 2 |
msg/apps.py | trym-inc/django-msg | 7 | 12788805 | <filename>msg/apps.py
from django.apps import AppConfig
class MsgConfig(AppConfig):
name = 'msg'
def ready(self):
# Make sure that handlers are registered when django is ready
from .settings import msg_settings
msg_settings.import_setting('handlers')
| 1.835938 | 2 |
sdk/python/pulumi_aws/ec2/subnet_cidr_reservation.py | chivandikwa/pulumi-aws | 0 | 12788806 | # 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.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 2.203125 | 2 |
complier-for-retards.py | bossjaylen145/trojan | 1 | 12788807 | import os
def complier():
print("If ur using this ur so dumb on god just read the install instructions!\n"
"PLEASE HAVE THE requirements.txt FILE IN THE SAME DIRECTORY!!!!")
os.system("pip install -r requirements.txt")
def cleanup():
cmds = ["RD __pycache__ /Q /S",
... | 2.984375 | 3 |
examples/LSTM_classification.py | xhpxiaohaipeng/xhp_flow_frame | 2 | 12788808 | <filename>examples/LSTM_classification.py
import os
from xhp_flow.nn.node import Placeholder,Linear,Sigmoid,ReLu,Leakrelu,Elu,Tanh,LSTM
from xhp_flow.optimize.optimize import toplogical_sort,run_steps,forward,save_model,load_model,Auto_update_lr,Visual_gradient,Grad_Clipping_Disappearance,SUW,\
SGD,\
Momentum,\
Adagra... | 2.640625 | 3 |
astro_fixer.py | boada/scripts | 0 | 12788809 | import subprocess
import os
def hms2decimal(RAString, delimiter):
"""Converts a delimited string of Hours:Minutes:Seconds format into decimal
degrees.
@type RAString: string
@param RAString: coordinate string in H:M:S format
@type delimiter: string
@param delimiter: delimiter character in RASt... | 3.34375 | 3 |
BlogProject/urls.py | JinitSan/Blog-App | 0 | 12788810 | <reponame>JinitSan/Blog-App
"""BlogProject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', view... | 2.953125 | 3 |
basiccomfundamental/List2.py | KApilBD/python | 0 | 12788811 | <filename>basiccomfundamental/List2.py
aList = [0,1,2,3,4,5]
bList = aList
aList[2] = 'hello'
print(aList == bList)
print(aList is bList)
print(aList)
print(bList)
cList = [6,5,4,3,2]
dList = []
for num in cList:
dList.append(num)
print(cList == dList) #validate the contain only
print(cL... | 3.828125 | 4 |
python/backup.py | R-Varun/Sentimeter | 0 | 12788812 | <reponame>R-Varun/Sentimeter<gh_stars>0
import sys
import json
import parse
import contextsummary
import SentimentAnalysis
data = parse.parseInput(sys.argv[1])
#data = input.readBody()
input = data[0]
granularity = data[2]
begin = int(granularity[0])
end = int(granularity[1])
stride = data[3]
if begin is -1 or end ... | 2.40625 | 2 |
multitest_transport/ui2/main.py | maksonlee/multitest_transport | 0 | 12788813 | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1.804688 | 2 |
flags-dest/train_with_globals.py | lambdaofgod/examples | 9 | 12788814 | learning_rate = 0.01
epochs = 10
print("Training for %i epochs with a learning rate of %f"
% (epochs, learning_rate))
| 2.921875 | 3 |
app/migrations/0004_auto_20190110_1501.py | wusri66666/room_order | 0 | 12788815 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2019-01-10 07:01
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('app', '0003_auto_20190110_1037'),
]
operations = [
migrations.RenameModel(
... | 1.609375 | 2 |
fridge/Constituent/Constituent.py | ryanstwrt/FRIDGE | 0 | 12788816 | <filename>fridge/Constituent/Constituent.py
import fridge.Material.Material as materialReader
import fridge.utilities.mcnpCreatorFunctions as mcnpCF
class Constituent(object):
"""Base class for creating an assembly constituent."""
def __init__(self, unit_info, void_percent=1.0):
"""Initializes the da... | 2.8125 | 3 |
vsts/vsts/feed/v4_1/models/package_dependency.py | kenkuo/azure-devops-python-api | 0 | 12788817 | <reponame>kenkuo/azure-devops-python-api
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ---------------------------... | 1.945313 | 2 |
cocrawler/fetcher.py | machawk1/cocrawler | 0 | 12788818 | '''
async fetching of urls.
Assumes robots checks have already been done.
Supports server mocking; proxies are not yet implemented.
Success returns response object and response bytes (which were already
read in order to shake out all potential network-related exceptions.)
Failure returns enough details for the call... | 2.453125 | 2 |
spatialpandas/tools/__init__.py | isabella232/spatialpandas | 0 | 12788819 | <gh_stars>0
from .sjoin import sjoin
| 1.0625 | 1 |
brax/envs/doublehumanoid.py | carolinewang01/brax | 0 | 12788820 | # Copyright 2021 The Brax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 2.390625 | 2 |
app_iza.py | Sharmaxz/instabot.py | 2 | 12788821 | <reponame>Sharmaxz/instabot.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import dotenv
from src.location.extract_location import get_locations_id
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
dotenv.load_dotenv(os.path.join(BASE_DIR, '.env'))
from src import InstaBot
location_ids = get_locatio... | 2.34375 | 2 |
exercises/exercise4/image-downloader/downloader.py | jackxxu/2020F-AC295 | 0 | 12788822 | <gh_stars>0
import sys
import os
import requests
import time
import shutil
from selenium import webdriver
def download_google_images(search_term_list = ["tomato", "bell pepper"], num_images_requested = 10):
print("download_google_images...")
start_time = time.time()
# Setup download folder
downloads =... | 3.203125 | 3 |
atalaia/explore.py | vallantin/atalaia | 0 | 12788823 | # TODOS
#--------------------------------------
# imports
import matplotlib.pyplot as plt
from atalaia.atalaia import Atalaia
import numpy as np
import networkx as nx
class Explore:
"""Explore is used for text exploratory tasks.
"""
def __init__(self, language:str):
"""
Parameters
... | 3.625 | 4 |
tests/test_io.py | gerritholl/sattools | 0 | 12788824 | """Test I/O related functionality."""
import tempfile
import os
import pathlib
def test_cache_dir():
"""Test getting cache directory."""
from sattools.io import get_cache_dir
with tempfile.TemporaryDirectory() as tmpdir:
d = get_cache_dir(tmpdir, "tofu")
assert str(d.parent) == tmpdir
... | 2.40625 | 2 |
escalate/rest_api/tests/model_tests/organization/person.py | darkreactions/ESCALATE | 11 | 12788825 | <reponame>darkreactions/ESCALATE
from ..model_tests_utils import (
status_codes,
DELETE,
PUT,
POST,
GET,
ERROR,
random_model_dict,
check_status_code,
compare_data
)
from core.models import (
Organization,
Person,
Actor
)
person_test_data = {
'person_test_0':{
... | 2.09375 | 2 |
grr/server/grr_response_server/check_lib/__init__.py | khanhgithead/grr | 4,238 | 12788826 | <reponame>khanhgithead/grr
#!/usr/bin/env python
"""This is the check capabilities used to post-process host data."""
# pylint: disable=g-import-not-at-top,unused-import
from grr_response_server.check_lib import checks
from grr_response_server.check_lib import hints
from grr_response_server.check_lib import triggers
| 0.964844 | 1 |
Sandbox/gatherSV_zinfo.py | echaussidon/LSS | 8 | 12788827 | '''
gather redshift info across all observations for a given target type; for now from a single tile
'''
#test
#standard python
import sys
import os
import shutil
import unittest
from datetime import datetime
import json
import numpy as np
import fitsio
import glob
import argparse
from astropy.table import Table,join... | 2.453125 | 2 |
module03_research_data_in_python/greengraph/map.py | marquesafonso/rse-course | 0 | 12788828 | <gh_stars>0
import numpy as np
from io import BytesIO
import imageio as img
import requests
class Map:
def __init__(
self, lat, long, satellite=True, zoom=10, size=(400, 400), sensor=False
):
base = "https://static-maps.yandex.ru/1.x/?"
params = dict(
z=zoom,
... | 3.171875 | 3 |
utils.py | yiluzhu/gomoku | 1 | 12788829 | from constants import P2P_PIXELS, PIECE_RADIUS_PIXELS, BOARD_SIZE
def index_to_pixel(x):
"""Given a point index, return the corresponding pixel. The Index can be either row or column"""
return P2P_PIXELS + P2P_PIXELS * x
def pixels_to_indices(pixel_x, pixel_y):
"""Given a point pixels, go throu... | 3.609375 | 4 |
OpenCVVideoFunctions/video4.py | zopagaduanjr/Microprocessor_Project | 0 | 12788830 | import cv2
import numpy as np
cap = cv2.VideoCapture('grace4.mp4')
def make_360p():
cap.set(3, 480)
cap.set(4, 360)
def rescale_frame(frame):
percent = 25;
width = int(frame.shape[1] * percent/100)
height = int(frame.shape[0] * percent/100)
dim = (width, height)
return cv2.resize(frame, d... | 2.75 | 3 |
bin/iamonds/hexiamonds-4x9.py | tiwo/puzzler | 0 | 12788831 | #!/usr/bin/env python
# $Id$
"""74 solutions"""
import puzzler
from puzzler.puzzles.hexiamonds import Hexiamonds4x9
puzzler.run(Hexiamonds4x9)
| 0.996094 | 1 |
run_novalid.py | zerebom/santander | 0 | 12788832 | <filename>run_novalid.py<gh_stars>0
from scripts.data_augumation import augmation
from sklearn.model_selection import KFold, StratifiedKFold
from models.lgbm import train_and_predict_novalid
from logs.logger import log_best
from utils import load_datasets, load_target
from sklearn.model_selection import train_test... | 2.40625 | 2 |
source/constructor.py | janzmazek/Wave-propagation | 1 | 12788833 | """
This module constructs network of streets.
"""
import numpy as np
import json
# Adobe flat UI colour scheme
DARK_BLUE = "#2C3E50"
MEDIUM_BLUE = "#2980B9"
LIGHT_BLUE = "#3498DB"
RED = "#E74C3C"
WHITE = "#ECF0F1"
# Colour parameters
STROKE_COLOUR = DARK_BLUE
STREET_COLOUR = DARK_BLUE
JUNCTION_COLOUR = MEDIUM_BLUE
... | 3.6875 | 4 |
chunonline/apps/organization/foms.py | andanlove/chunonline | 1 | 12788834 | # _*_ coding: utf-8 _*_
import re
__author__ = "andan"
__data__ = "2018/9/22 12:44"
from django import forms
from operation.models import UserAsk
class UserAskForm(forms.ModelForm):
class Meta:
model = UserAsk
fields = ['name', 'moblie', 'course_name']
def clean_moblie(self):
moblie... | 2.53125 | 3 |
angr/engines/soot/expressions/phi.py | vwvw/angr | 0 | 12788835 | <reponame>vwvw/angr
import logging
from .base import SimSootExpr
l = logging.getLogger('angr.engines.soot.expressions.phi')
class SimSootExpr_Phi(SimSootExpr):
def _execute(self):
try:
local = [self._translate_value(v) for v, idx in self.expr.values if idx == self.state.scratch.source.block... | 2.03125 | 2 |
src/nextstep_plist/__init__.py | techdragon/python-nextstep-plist | 1 | 12788836 | <filename>src/nextstep_plist/__init__.py
from nextstep_plist.decoder import PListDecoder
__version__ = "0.1.0"
__all__ = [
'load', 'loads',
'PListDecoder',
]
_default_decoder = PListDecoder()
def load(fp):
"""Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
a NeXTSTEP proper... | 2.25 | 2 |
src/models/main.py | bh1995/mnist_cookiecutter | 0 | 12788837 | <filename>src/models/main.py
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 4 13:01:26 2021
@author: bjorn
main script to call and run all functions from for mnist_cookiecutter
"""
# from google.colab import files
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as o... | 2.65625 | 3 |
ref/files/student.py | skrymets/python-core-and-advanced | 0 | 12788838 | class Student:
def __init__(self,id,name,testscore):
self.id = id
self.name = name
self.testscore = testscore
def display(self):
print(self.id,self.name,self.testscore) | 3.21875 | 3 |
run/sb3_NeedlePick_tester.py | rokas-bendikas/SurRoL | 0 | 12788839 | <gh_stars>0
import gym
import surrol
import numpy as np
from matplotlib import pyplot as plt
import time
from stable_baselines3 import DDPG,PPO,TD3, HerReplayBuffer, VecHerReplayBuffer
from stable_baselines3.common.noise import NormalActionNoise
from stable_baselines3.common.vec_env import DummyVecEnv, VecNormalize, ... | 1.976563 | 2 |
core/recc/core/mixin/context_permission.py | bogonets/answer | 3 | 12788840 | <filename>core/recc/core/mixin/context_permission.py
# -*- coding: utf-8 -*-
from typing import List, Optional, Any, Union
from recc.core.mixin.context_base import ContextBase
from recc.database.struct.permission import Permission
from recc.packet.permission import RawPermission
from recc.packet.cvt.permission import ... | 1.960938 | 2 |
tl_env/envs/double_goal.py | mhtb32/tl-env | 1 | 12788841 | <reponame>mhtb32/tl-env<filename>tl_env/envs/double_goal.py
from typing import Dict, Tuple
from highway_env.envs.common.abstract import Observation
from highway_env.envs.common.action import Action
from highway_env.road.objects import Landmark
from tl_env.envs.single_goal import SingleGoalIDMEnv
class DoubleGoalEnv... | 2.8125 | 3 |
ecdc_status/upcoming_events/admin.py | ess-dmsc/ecdc-status | 0 | 12788842 | <reponame>ess-dmsc/ecdc-status<filename>ecdc_status/upcoming_events/admin.py
from django.contrib import admin
from django.utils import timezone
from .models import EventIcon, Event
from django.utils.translation import gettext_lazy as _
class FilterOld(admin.SimpleListFilter):
title = _('future events')
# Par... | 2.328125 | 2 |
run_participants.py | tbenne10/TopographicSurveyAnalysis | 0 | 12788843 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#This script scores results from each student
#Drawn images are downloaded from a .csv file, converted from string base64 encoding,
#and scored against machine learning models saved to disk
import csv
import os
#import file
import cv2
import re
import base64
import nump... | 3.5 | 4 |
journalClub/polls/views.py | chabanr/journalClub | 0 | 12788844 | <filename>journalClub/polls/views.py
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.template import loader
from django.http import Http404
from django.urls import reverse
from .models import Question
# Create your views here.
#
# def in... | 2.609375 | 3 |
mandarin/parser.py | joegasewicz/amber | 2 | 12788845 | from typing import Tuple, Union, Dict, Optional, Any
import re
from mandarin.core import ELEMENTS
class NodeHasNoValueError(Exception):
pass
class Parser:
def __init__(self):
pass
@staticmethod
def remove_white_space(value: str) -> str:
cleaned_val = value.lstrip()
# TODO ... | 3.015625 | 3 |
tests/test_foo.py | AlexDev-py/vkquick | 1 | 12788846 | def test_run():
import vkquick
assert True
| 1.085938 | 1 |
api/letter_templates/tests/tests_view.py | django-doctor/lite-api | 3 | 12788847 | <gh_stars>1-10
from api.letter_templates.helpers import format_user_text
from rest_framework import status
from rest_framework.reverse import reverse
from api.cases.enums import AdviceType, CaseTypeReferenceEnum
from api.cases.enums import CaseTypeSubTypeEnum, CaseTypeEnum
from api.staticdata.decisions.models import D... | 2.3125 | 2 |
8723 Patyki.py | jangThang/Baekjoon-problem | 0 | 12788848 | <reponame>jangThang/Baekjoon-problem
# 입력
a, b, c = map(int, input().split())
# 판별 후 출력
if a == b == c: # 정삼각형 유무
print(2)
# 직각 삼각형 유무
elif a**2 == b**2 + c**2 or b**2 == a**2 + c**2 or c**2 == a**2 + b**2:
print(1)
# 모두 불가능
else:
print(0)
| 3.234375 | 3 |
core/train.py | kianakiaei/TSGL-EEGNet | 0 | 12788849 | <reponame>kianakiaei/TSGL-EEGNet
# coding:utf-8
import os
import gc
import sys
import math
import copy
import time
import logging
import itertools
import numpy as np
from numpy.core.numeric import cross
import tensorflow as tf
import matplotlib.pyplot as plt
from tensorflow.python.keras.api._v2.keras import backend as... | 1.976563 | 2 |
anomaly_tuning/__init__.py | albertcthomas/anomaly_tuning | 40 | 12788850 | <filename>anomaly_tuning/__init__.py
from .tuning import anomaly_tuning # noqa
from . import estimators # noqa
| 1.132813 | 1 |