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 |
|---|---|---|---|---|---|---|
model/report.py | CJBriers/orange-river-thesis | 0 | 12790751 | """ Construct dataset """
import sys
import math
import pandas as pd
import numpy as np
import csv
def calc_gaps(station):
"""Calculate gaps in time series"""
df = pd.read_csv('../data/all_clean/{0}-clean.txt'.format(station), parse_dates=['Date'])
df = df.set_index(['Date'])
df.index = pd.to_datetim... | 3.40625 | 3 |
web_app/infinite_trivia.py | 4398TempleSpring2020/cscapstoneproject-infinitetrivia | 1 | 12790752 | from app import app, socketio
if __name__ == '__main__':
app.jinja_env.auto_reload = True
app.config['TEMPLATES_AUTO_RELOAD'] = True
socketio.run(app)
| 1.421875 | 1 |
m3.py | bshishov/DeepForecasting | 4 | 12790753 | import numpy as np
import matplotlib.pyplot as plt
import keras
import keras.layers as klayers
import time_series as tsutils
import processing
import metrics
class ModelBase(object):
# Required 'context' information for a model
input_window = None
# How many point the model can predict for a single give... | 2.765625 | 3 |
0451 Sort Characters By Frequency.py | MdAbedin/leetcode | 4 | 12790754 | class Solution:
def frequencySort(self, s: str) -> str:
counts = Counter(s)
chars = defaultdict(list)
for char in counts:
chars[counts[char]].append(char)
ans = ''
for count in sorted(chars.keys(),reverse=True):
for char ... | 3.671875 | 4 |
Back-End/Python/Basics/Part -3- Hash Maps/02- Dictionaries/some-dict-code/04_API_difference.py | ASHISHKUMAR2411/Programming-CookBook | 25 | 12790755 | <reponame>ASHISHKUMAR2411/Programming-CookBook
n1 = {'employees': 100, 'employee': 5000, 'users': 10, 'user': 100}
n2 = {'employees': 250, 'users': 23, 'user': 230}
n3 = {'employees': 150, 'users': 4, 'login': 1000}
dict_union = n1.keys() | n2.keys() | n3.keys()
dict_intersection = n1.keys() & n2.keys() & n3.keys()
... | 3.96875 | 4 |
hello/forms.py | choudharykartik1717/python-docs-hello-django | 0 | 12790756 | <gh_stars>0
from django import forms
from django.db import models
from django.db.models import fields
from .models import *
class AddForm(forms.ModelForm):
class Meta:
model = Post
fields = ('title','desc') | 1.914063 | 2 |
spookyconsole/gui/style.py | FRCTeam7170/spooky-console | 0 | 12790757 |
"""
Contains styling utilities for tkinter widgets.
Some features include:
- a hierarchical styling system for the non-ttk widgets;
- a collection of colour constants;
- and reasonable cross-platform named fonts.
"""
import tkinter as tk
import tkinter.font as tkfont
from contextlib import contextmanager
# Co... | 2.984375 | 3 |
tests/test_engine/test_queries/test_queryop_logical_not.py | gitter-badger/MontyDB | 0 | 12790758 |
import re
from bson.regex import Regex
def test_qop_not_1(monty_find, mongo_find):
docs = [
{"a": 4},
{"x": 8}
]
spec = {"a": {"$not": {"$eq": 8}}}
monty_c = monty_find(docs, spec)
mongo_c = mongo_find(docs, spec)
assert mongo_c.count() == 2
assert monty_c.count() == mon... | 2.515625 | 3 |
routine.py | Atari2/WhiteSnake | 0 | 12790759 | import asar
from rom import Rom
from patchexception import PatchException
import os
import re
class Routine:
incsrc = 'incsrc global_ow_code/defines.asm\nfreecode cleaned\n'
def __init__(self, file):
self.path = file
self.ptr = None
self.name = re.findall(r'\w+\.asm', file)[-1].replac... | 2.34375 | 2 |
envio2/poisson.py | leonheld/INE5118 | 0 | 12790760 | <gh_stars>0
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import collections
import scipy
from scipy.stats import poisson
from scipy.stats import norm
from math import sqrt
sns.set(style = "darkgrid", context = "paper")
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
def poipmf(s... | 2.78125 | 3 |
test/test_dataset.py | ffrankies/tf_rnn | 1 | 12790761 | import pytest
from tf_rnn.dataset import *
INPUT_PLACEHOLDER = 1
OUTPUT_PLACEHOLDER = 2
NUM_BATCHES_SMALL = 10
NUM_ROWS_SMALL = 10
ROW_LEN_SMALL = 5
NUM_BATCHES_MEDIUM = 1000
NUM_ROWS_MEDIUM = 100
ROW_LEN_MEDIUM = 20
BATCHED_INPUTS_SMALL = [[[INPUT_PLACEHOLDER for timestep in range(ROW_LEN_SMALL)]... | 2.703125 | 3 |
dxgb_bench/datasets/__init__.py | trivialfis/dxgb_bench | 2 | 12790762 | from .mortgage import Mortgage
from .taxi import Taxi
from .higgs import Higgs
from .year import YearPrediction
from .covtype import Covtype
from .airline import Airline
from .epsilon import Epsilon
from .generated import Generated
import argparse
from typing import Tuple
from dxgb_bench.utils import DataSet
def fac... | 2.4375 | 2 |
examples/iris.py | speedcell4/houttuynia | 1 | 12790763 | from pathlib import Path
import aku
from torch import nn, optim
from houttuynia.monitors import get_monitor
from houttuynia.schedules import EpochalSchedule
from houttuynia.nn import Classifier
from houttuynia import log_system, manual_seed, to_device
from houttuynia.datasets import prepare_iris_dataset
from houttuyn... | 2.203125 | 2 |
tests/test_tools/test_aucote_ad/test_parsers/test_enum4linux_parser.py | Wolodija/aucote | 1 | 12790764 | <filename>tests/test_tools/test_aucote_ad/test_parsers/test_enum4linux_parser.py<gh_stars>1-10
from unittest import TestCase
from tools.acuote_ad.parsers.enum4linux_parser import Enum4linuxParser
from tools.acuote_ad.structs import Enum4linuxOS, Enum4linuxUser, Enum4linuxShare, Enum4linuxGroup, \
Enum4linuxPasswor... | 2.25 | 2 |
torch_basic/NMT.py | quoniammm/mine-pytorch | 3 | 12790765 | <gh_stars>1-10
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from nltk import FreqDist
import re
import jieba
import math
import time
from collections import Coun... | 2.0625 | 2 |
predict.py | henryhust/Coreference-Chinese | 0 | 12790766 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import json
import tensorflow as tf
import util
import json
except_name = ["公司", "本公司", "该公司", "贵公司", "贵司", "本行", "该行", "本银行", "该集团", "本集团", "集团",
"它", "他们", "他们", "我们", "该股", "其", ... | 2.515625 | 3 |
pyobs/utils/threads/__init__.py | pyobs/pyobs-core | 4 | 12790767 | <gh_stars>1-10
from .future import Future
from .lockwithabort import LockWithAbort, AcquireLockFailed
from .threadwithreturnvalue import ThreadWithReturnValue
| 1.179688 | 1 |
tpDcc/libs/python/folder.py | tpDcc/tpDcc-libs-python | 1 | 12790768 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Utility methods related to folders
"""
from __future__ import print_function, division, absolute_import
import os
import sys
import time
import errno
import shutil
import fnmatch
import logging
import tempfile
import traceback
import subprocess
from distutils.dir_... | 3.03125 | 3 |
main.py | kevinrpb/additives-scrapper | 0 | 12790769 | <filename>main.py
#!/usr/bin/env python3
import json
from scrappers import EAditivosScrapper, EuropaScrapper, LaVeganisteriaScrapper
from util import parse_args, select_dietary, setup_logger, update_dietary
def main():
args = parse_args()
logger = setup_logger(level=args.log_level)
logger.info('Starting')
... | 3.015625 | 3 |
neural_interaction_detection.py | mtsang/neural-interaction-detection | 35 | 12790770 | import bisect
import operator
import numpy as np
import torch
from torch.utils import data
from multilayer_perceptron import *
from utils import *
def preprocess_weights(weights):
w_later = np.abs(weights[-1])
w_input = np.abs(weights[0])
for i in range(len(weights) - 2, 0, -1):
w_later = np.matm... | 2.296875 | 2 |
haas/tests/test_text_test_result.py | itziakos/haas | 4 | 12790771 | # -*- coding: utf-8 -*-
# Copyright (c) 2013-2019 <NAME>
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the 3-clause BSD license. See the LICENSE.txt file for details.
from __future__ import absolute_import, unicode_literals
from datetime import datetime, timedelta
from... | 2.203125 | 2 |
scripts/configs/minimal.py | Skydivizer/compsci | 0 | 12790772 | <gh_stars>0
import numpy as np
from pcs_aero.experiment import ExperimentGroup
# Convenience
_all_shapes = ['rect', 'halfcircle', 'triangle']
# Script to use.
program = "scripts/coef.py"
experiments = [
ExperimentGroup("scripts/results/theta.txt", {
'shape': _all_shapes,
'theta': range(0, 181, 3... | 2.140625 | 2 |
src/university/models.py | Nikhilgupta18/practice-react_django | 0 | 12790773 | from django.db import models
from account.models import Country
from django.contrib import admin
grad_streams_list = [
'Engineering',
'Law',
'Medicine',
'Business',
]
grad_streams = (
('Engineering', 'Engineering'),
('Law', 'Law'),
('Medicine', 'Medicine'),
('Business', 'Business'),
)... | 2.125 | 2 |
disk.py | oznotes/Pit | 1 | 12790774 | <gh_stars>1-10
from __future__ import print_function
import sys
import time
import wmi
__author__ = "Oz"
__copyright__ = "Disk Reader WMI"
def read_in_chunks(fileobj, chunksize=65536):
"""
Lazy function to read a file piece by piece.
Default chunk size: 64kB.
"""
while True:
data = file... | 3.078125 | 3 |
ex4.py | hanskrupakar/Tensorflow-Beginner | 0 | 12790775 | <reponame>hanskrupakar/Tensorflow-Beginner
import tensorflow as tf
import numpy as np
from tensorflow.models.rnn import rnn, rnn_cell
if __name__ == '__main__':
X = np.random.randint(0,2,(50000,25,10))
Y = np.reshape(np.sum(X,axis=2),(50000,25,1))
X_test = np.random.randint(0,2,(1000,25,10))
Y_tes... | 3.515625 | 4 |
operators/identity_operator.py | aryanz-co-in/python-comments-variables-type-casting-operators | 0 | 12790776 | # Identity operator
# "is" and "is not"
living_room_temperature = 23
kitchen_room_temperature = 23
# is
if living_room_temperature is kitchen_room_temperature:
print("Temperature is same")
else:
print("Temperature is NOT same")
living_room_temperature = 18
# is
if living_room_temperature is kitchen_room... | 4.46875 | 4 |
tests/test_atividade.py | leticiaarj/TrabalhoTPPE | 0 | 12790777 | <reponame>leticiaarj/TrabalhoTPPE<filename>tests/test_atividade.py<gh_stars>0
import unittest
from usecases.Atividades import Atividade
from usecases.Nodos import Nodo, NodoDecisao, NodoFusao, NodoFinal
class testeAtividade(unittest.TestCase):
def testCriacaoDiagrama(self):
nodoInicial = Nodo('Nodo Inicial', ['... | 2.703125 | 3 |
Pensamento Computacional/Exercicios/ex055.py | jotaven/UnipeCC | 1 | 12790778 | '''Faça um programa que receba dois números inteiros e gere os números inteiros que estão no intervalo compreendido por eles.'''
number1 = int(input("Digite o primeiro numero: ")) + 1
number2 = int(input("Digite o segundo numero: "))
print(list(range(number1, number2))) | 4.0625 | 4 |
TOPSIS-Aseem-101803469/__init__.py | 26aseem/TOPSIS | 0 | 12790779 | from TOPSIS-Aseem-101803469.topsis import topsisPerformer | 0.925781 | 1 |
Gui/Images/title_icons.py | marioharper182/OptionsPricing | 0 | 12790780 | #----------------------------------------------------------------------
# This file was generated by img2py.py
#
from wx.lib.embeddedimage import PyEmbeddedImage
AmericanOption = PyEmbeddedImage(
"iVBORw0KGgoAAAANSUhEUgAAAEAAAABACAYAAACqaXHeAAAABHNCSVQICAgIfAhkiAAAAAlw"
"SFlzAAAHIQAAByEBauL93wAAABl0RVh0U29mdHd... | 1.390625 | 1 |
reposit/auth/exceptions.py | tombasche/reposit-home-assistant | 0 | 12790781 | <filename>reposit/auth/exceptions.py
"""
Exceptions relating to auth
"""
class NoAuthenticationError(Exception):
"""
If a method is called that requires an access token and none is yet
set then raise this error
"""
# pylint: disable=unnecessary-pass
pass
| 1.929688 | 2 |
proto/core/molecule.py | protoserver/proto-cli | 0 | 12790782 |
from abc import abstractmethod
from cement import Interface, Handler
class MoleculeInterface(Interface):
class Meta:
interface = 'stack'
@abstractmethod
def _build_config(self):
"""Do something to build the config."""
pass
def build_config(self):
"""Do something to bu... | 3.109375 | 3 |
netcdf_utils/NetCDF_O2_corr.py | shaunwbell/EcoFOCI_MooringAnalysis | 2 | 12790783 | <reponame>shaunwbell/EcoFOCI_MooringAnalysis
#!/usr/bin/env python
"""
NetCDF_O2_corr.py
calculate salinity from conductivity.
History:
========
2019-01-03 Put in flag for correcting Aandera optode values vs SBE-43 values (mmole/l vs umole/kg)
Compatibility:
==============
python >=3.6 - not tested, unlik... | 2.046875 | 2 |
gen-py/Services_old/__init__.py | afshelburn/irpy | 0 | 12790784 | <filename>gen-py/Services_old/__init__.py
__all__ = ['ttypes', 'constants', 'GameService', 'GamePlayer']
| 1.054688 | 1 |
cscs-checks/libraries/magma/magma_checks.py | CLIP-HPC/reframe | 167 | 12790785 | <gh_stars>100-1000
# Copyright 2016-2021 Swiss National Supercomputing Centre (CSCS/ETH Zurich)
# ReFrame Project Developers. See the top-level LICENSE file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
import reframe as rfm
import reframe.utility.sanity as sn
@rfm.simple_test
class MagmaCheck(rfm.Regressio... | 1.875 | 2 |
main.py | kamaravichow/hrv-stress-detection-model | 2 | 12790786 | import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import OneHotEncoder
import keras
from keras import backend as K
from keras.models import Sequential
from keras.layers import Activation
from keras.layers.core import Dense
from keras.optimizers import Adam... | 2.8125 | 3 |
topCoder/srms/500s/srm571/div2/fox_and_game.py | ferhatelmas/algo | 25 | 12790787 | class FoxAndGame:
def countStars(self, result):
return sum(r.count("o") for r in result)
| 2.765625 | 3 |
kinbot/write_mesmer.py | rubenvdvijver/KinBot | 0 | 12790788 | ###################################################
## ##
## This file is part of the KinBot code v2.0 ##
## ##
## The contents are covered by the terms of the ##
## BSD 3-clause license included in the LICENSE ##
## file,... | 1.75 | 2 |
tests/core/validation/test_transaction_validation.py | dbfreem/py-evm | 1,641 | 12790789 | <reponame>dbfreem/py-evm
import pytest
from eth.vm.forks.london.transactions import UnsignedDynamicFeeTransaction
from eth.vm.forks.berlin.transactions import UnsignedAccessListTransaction
from eth_utils import ValidationError
@pytest.mark.parametrize(
"unsigned_access_list_transaction,is_valid",
(
... | 2.015625 | 2 |
burden/validate_burden.py | PingjunChen/LiverCancerSeg | 41 | 12790790 | <filename>burden/validate_burden.py<gh_stars>10-100
# -*- coding: utf-8 -*-
import os, sys
import numpy as np
import pandas as pd
from skimage import io
from pydaily import format
def cal_train_burden(slides_dir):
slide_list = []
slide_list.extend([ele[6:-4] for ele in os.listdir(slides_dir) if "svs" in ele]... | 2.484375 | 2 |
tclr_pretraining/dl_tclr.py | DAVEISHAN/TCLR | 4 | 12790791 | r'''This dataloader is an attemp to make a master DL that provides 2 augmented version
of a sparse clip (covering minimum 64 frames) and 2 augmented versions of 4 dense clips
(covering 16 frames temporal span minimum)'''
import os
import torch
import numpy as np
import matplotlib.pyplot as plt
from torch.utils.data imp... | 2.1875 | 2 |
exts.py | whan6795/myweb | 0 | 12790792 | <reponame>whan6795/myweb<filename>exts.py
# encoding:utf-8
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
db = SQLAlchemy()
| 1.484375 | 1 |
1/kdh/8_11719.py | KNU-CS09/Baekjoon | 0 | 12790793 | import sys
for line in sys.stdin:
print(line.strip('\n')) | 2.125 | 2 |
the-cloudwatch-dashboard/python/app.py | mttfarmer/serverless | 1,627 | 12790794 | <reponame>mttfarmer/serverless
#!/usr/bin/env python3
from aws_cdk import core
from the_cloudwatch_dashboard.the_cloudwatch_dashboard_stack import TheCloudwatchDashboardStack
app = core.App()
TheCloudwatchDashboardStack(app, "the-cloudwatch-dashboard")
app.synth()
| 1.414063 | 1 |
party.py | jelkink/ucd-prog-2020 | 0 | 12790795 | from location import Location
import random
class Party:
def __init__(self, simulation, name, colour, strategy=""):
self.location = Location()
self.simulation = simulation
if strategy == "":
self.random_strategy()
else:
self.strategy = strategy
self.name = name
self.colour ... | 3.703125 | 4 |
utils/archive/plasticc_extract_gp.py | heather999/snmachine | 1 | 12790796 | from snmachine import sndata,snfeatures
import numpy as np
import pandas
from astropy.table import Table
import pickle
import os,sys
'''
print('starting readin of monster files')
#raw_data=pandas.read_csv('/share/hypatia/snmachine_resources/data/plasticc/test_set.csv')
raw_data=pandas.read_csv('/share/hypatia/snmachin... | 2.25 | 2 |
benchmarking.py | niladell/DockStream | 34 | 12790797 | import os
import json
import errno
import sys
import argparse
from dockstream.utils.execute_external.execute import Executor
from dockstream.utils import files_paths
from dockstream.utils.enums.docking_enum import DockingConfigurationEnum
_DC = DockingConfigurationEnum()
def run_script(input_path: str) -> dict:
... | 2.75 | 3 |
sc/acme_test.py | elliotgunn/DS-Unit-3-Sprint-1-Software-Engineering | 0 | 12790798 | <reponame>elliotgunn/DS-Unit-3-Sprint-1-Software-Engineering<filename>sc/acme_test.py
import unittest
from acme import Product
from acme_report import generate_products, ADJECTIVES, NOUNS
class AcmeProductTests(unittest.TestCase):
"""Making sure Acme products are the tops!"""
def test_default_product_price(se... | 3.234375 | 3 |
xyzflow/__init__.py | Renneke/xyzflow | 2 | 12790799 | #
# XYZFlow - Simple Orchestration Framework
#
from .Task import Task, task
from .Flow import get_flow_parameter, flow, Flow, save_parameters, load_parameters
from .HelperTasks import Add, Sub, Multiplication
from .Parameter import Parameter
from .xyzflow import inspect_parameters, main | 1.1875 | 1 |
tests/test_models.py | kahache/video_packaging_platform | 8 | 12790800 | <gh_stars>1-10
__author__ = "<NAME> & <NAME>"
__version__ = "1.0.0"
__start_date__ = "25th July 2020"
__end_date__ = "3rd August 2020"
__maintainer__ = "me"
__email__ = "<EMAIL>"
__requirements__ = "SQL-Alchemy, MySQL, Flask-SQLAlchemy, database script"
__status__ = "Production"
__description__ = """
This is the Databa... | 2.296875 | 2 |
utils.py | nntrongnghia/learn-recsys | 0 | 12790801 | <reponame>nntrongnghia/learn-recsys<filename>utils.py
import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def bpr_loss(pos: torch.Tensor, neg: torch.Tensor)-> torch.Tensor:
"""Bayesian Personalized Ranking Loss
Parameters
----------
pos : torch.Tensor
... | 2.109375 | 2 |
scripts/gather_benchmarks.py | preshing/CompareIntegerMaps | 72 | 12790802 | #---------------------------------------------------
# Perform a bunch of experiments using CompareIntegerMaps.exe, and writes the results to results.txt.
# You can filter the experiments by name by passing a regular expression as a script argument.
# For example: run_tests.py LOOKUP_0_.*
# Results are also cached in a... | 2.46875 | 2 |
smoothcrawler/persistence/__init__.py | Chisanan232/pytsunami | 1 | 12790803 | from abc import ABCMeta, abstractmethod
class PersistenceFacade(metaclass=ABCMeta):
@abstractmethod
def save(self, data, *args, **kwargs):
pass
| 3.03125 | 3 |
lhorizon/solutions.py | arfon/lhorizon | 1 | 12790804 | """
functionality for solving body-intersection problems. used by
`lhorizon.targeter`. currently contains only ray-sphere intersection solutions
but could also sensibly contain expressions for bodies of different shapes.
"""
from collections.abc import Callable, Sequence
import sympy as sp
# sympy symbols for ray-sph... | 2.96875 | 3 |
videoFeedStuff/UDPRecieverTest.py | mattwalstra/2019RobotCode | 4 | 12790805 | <reponame>mattwalstra/2019RobotCode<filename>videoFeedStuff/UDPRecieverTest.py
import socket
import cv2
UDP_IP = "127.0.0.1"
UDP_PORT = 5005
sock= socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((UDP_IP,UDP_PORT))
while True:
data, addr = sock.recvfrom(1024)
print data
| 2.515625 | 3 |
morio/model/__init__.py | wddwycc/morio | 0 | 12790806 | from .base import db
from .user import User
from .repository import Repository
from .card import Card
from .course import Course
from .course_card_progress import CourseCardProgress
def init_app(app):
db.init_app(app)
| 1.453125 | 1 |
test/default_value_constrct.py | bourne7/demo-python | 0 | 12790807 | # Default values are computed once, then re-used.
# https://blog.csdn.net/x_r_su/article/details/54730654
class MyList:
def __init__(self, init_list=[]):
self.list = init_list
print(id(init_list))
def add(self, ele):
self.list.append(ele)
def appender(ele):
# obj = MyList()
... | 3.71875 | 4 |
001-python-core-language/012_function_pass_by_ref_var_scope.py | CHemaxi/python | 0 | 12790808 | ## >---
## >YamlDesc: CONTENT-ARTICLE
## >Title: python functions
## >MetaDescription: python functions, function with parameters, function with return value example code, tutorials
## >MetaKeywords: python functions, function with parameters, function with return value example code, tutorials
## >Author: Hemaxi
## >Co... | 3.96875 | 4 |
connect_four/agents/dfpn_build_db.py | rpachauri/connect4 | 0 | 12790809 | import gym
import time
from connect_four.agents import DFPN
from connect_four.agents import difficult_connect_four_positions
from connect_four.evaluation.victor.victor_evaluator import Victor
from connect_four.hashing import ConnectFourHasher
from connect_four.transposition.sqlite_transposition_table import SQLiteTra... | 2.140625 | 2 |
inst/python/python_predict.py | cynthiayang525/PatientLevelPrediction | 141 | 12790810 | <reponame>cynthiayang525/PatientLevelPrediction<gh_stars>100-1000
# apply random forest model on new data
#===============================================================
# INPUT:
# 1) location of new data
# 2) location of model
#
# OUTPUT:
# it returns a file with indexes merged with prediction for test index - name... | 2.484375 | 2 |
mapillary-tools/interpolate_with_anchors.py | mgottholsen/cynefin | 0 | 12790811 | #!/usr/bin/env python
import datetime
from lib.geo import interpolate_lat_lon, compute_bearing, offset_bearing
from lib.sequence import Sequence
import lib.io
import os
import sys
from lib.exifedit import ExifEdit
def interpolate_with_anchors(anchors, angle_offset):
'''
Interpolate gps position and compass an... | 2.859375 | 3 |
awstosrt.py | asulibraries/AwsTranscribe | 0 | 12790812 | <reponame>asulibraries/AwsTranscribe<gh_stars>0
import re
import sys
import json
import logging
from datetime import timedelta
import srt
import webvtt
log = logging.getLogger(__name__)
log.addHandler(logging.StreamHandler())
log.setLevel(logging.DEBUG)
sys.path.append("/home/ubuntu/.local/lib/python3.6/site-package... | 2.921875 | 3 |
tests/from_file_multiple_calls_mismatch/test_mock_server_from_file_multiple_calls_mismatch.py | icanbwell/mockserver_client | 0 | 12790813 | from glob import glob
from pathlib import Path
from typing import List, Any, Dict
import pytest
import requests
import json
from requests import Response
from mockserver_client.exceptions.mock_server_expectation_not_found_exception import (
MockServerExpectationNotFoundException,
)
from mockserver_client.excepti... | 2.21875 | 2 |
src/updater.py | vincent-lg/cocomud | 3 | 12790814 | # Copyright (c) 2016-2020, <NAME>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the fo... | 1.335938 | 1 |
src/epc_exporter/collector/port_utilization_table.py | cisco-cx/epc_exporter | 0 | 12790815 | <reponame>cisco-cx/epc_exporter
"""
Collects show port utilization table command and parses it
"""
from prometheus_client import REGISTRY
from prometheus_client.metrics_core import GaugeMetricFamily
from collector.abstract_command_collector import AbstractCommandCollector
from device import AbstractDevice
class Por... | 2.5625 | 3 |
src/apps/trainings/managers/network_pandas_queryset.py | sanderland/katago-server | 27 | 12790816 | from django.db.models import QuerySet
class NetworkPandasQuerySet(QuerySet):
pass
| 1.351563 | 1 |
kinetic_model_construction_and_analysis/src/tests/test_process_simulations.py | svevol/accoa_project_data_analysis | 0 | 12790817 | <reponame>svevol/accoa_project_data_analysis<filename>kinetic_model_construction_and_analysis/src/tests/test_process_simulations.py<gh_stars>0
import os
import unittest
import scipy.io
from src.data.process_simulations import get_time_series_quantiles
from src.data.import_simulations import gather_sim_data, get_met_rx... | 1.960938 | 2 |
test/moves/test_acrobatics.py | adacker10/showdown | 8 | 12790818 | import unittest
from sim.battle import Battle
from data import dex
class TestAcrobatics(unittest.TestCase):
def test_acrobatics(self):
b = Battle(debug=False, rng=False)
b.join(0, [{'species': 'charmander', 'moves': ['tackle']}])
b.join(1, [{'species': 'pidgey', 'moves': ['acrobati... | 2.671875 | 3 |
hic3defdr/util/lrt.py | thomasgilgenast/hic3defdr | 0 | 12790819 | <gh_stars>0
import numpy as np
import scipy.stats as stats
from hic3defdr.util.scaled_nb import logpmf, fit_mu_hat
def lrt(raw, f, disp, design, refit_mu=True):
"""
Performs a likelihood ratio test on raw data ``raw`` given scaling factors
``f`` and dispersion ``disp``.
Parameters
----------
... | 2.484375 | 2 |
multitask_lightning/losses/loss.py | heyoh-app/gestures-detector | 8 | 12790820 | from .keypoint_losses import KpointFocalLoss
from .aux_losses import RegrLoss, MaskedFocal
def get_loss(loss):
loss_name = loss["name"]
params = loss["params"]
if loss_name == "kpoint_focal":
loss = KpointFocalLoss(**params)
elif loss_name == "masked_focal":
loss = MaskedFocal()
e... | 2.4375 | 2 |
server/githubsrm/apis/urls.py | Aradhya-Tripathi/githubsrm | 1 | 12790821 | from django.urls import path
from .open_views import (
Contributor, Maintainer, HealthCheck, Team, ContactUs
)
urlpatterns = [
path('contributor', Contributor.as_view()),
path('maintainer', Maintainer.as_view()),
path('healthcheck', HealthCheck.as_view()),
path('team', Team.as_view()),
path('c... | 1.625 | 2 |
pdf4me/Pdf4mePythonClientApi/pdf4me/helper/custom_http.py | pdf4me/pdf4me-clientapi-python | 1 | 12790822 | import requests
from pdf4me.helper.json_converter import JsonConverter
from pdf4me.helper.pdf4me_exceptions import Pdf4meClientException, Pdf4meBackendException
from pdf4me.helper.response_checker import ResponseChecker
# from pdf4me.helper.token_generator import TokenGenerator
class CustomHttp(object):
def __... | 2.65625 | 3 |
0282.Expression Add Operators/solution.py | zhlinh/leetcode | 0 | 12790823 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
*****************************************
Author: zhlinh
Email: <EMAIL>
Version: 0.0.1
Created Time: 2016-05-09
Last_modify: 2016-05-09
******************************************
'''
'''
Given a string that contains only digits 0-9 and a ta... | 4.15625 | 4 |
tests/fixtures.py | jsam/datagears | 3 | 12790824 | <gh_stars>1-10
from typing import Any, TypeVar, Union
T = TypeVar("T")
Fixture = Union[Any, T]
| 1.664063 | 2 |
api/src/wt/http_api/_common.py | sedlar/work-tracking | 0 | 12790825 | <gh_stars>0
from functools import wraps
from wt.common.errors import ObjectDoesNotExist, BadRequest
def get_error_response(ex):
return {
"code": ex.error_code.value,
"message": ex.message
}
def handle_errors(func):
@wraps(func)
def wrapper(*args, **kwargs):
try:
... | 2.25 | 2 |
SubGNN/train_config.py | thomasly/SubGNN | 1 | 12790826 | # General
import numpy as np
import random
import argparse
import json
import commentjson
import joblib
import os
import pathlib
from collections import OrderedDict
# Pytorch
import torch
import pytorch_lightning as pl
from pytorch_lightning.loggers import TensorBoardLogger
from pytorch_lightning.callbacks import Mode... | 2.1875 | 2 |
bangpy-ops/ops/sum/sum.py | testouya/mlu-ops | 0 | 12790827 | <filename>bangpy-ops/ops/sum/sum.py<gh_stars>0
# Copyright (C) [2021] by Cambricon, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation ... | 1.789063 | 2 |
normalTest/main.py | ForrestHeiYing/tutorials | 0 | 12790828 | <reponame>ForrestHeiYing/tutorials<gh_stars>0
#!usr/bin/env python
# _*_ coding:utf-8 _*_
"""
@author:chaowei
@file: main.py
@time: 2019/07/18
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# from matplotlib import pyplot
import numpy as np
import time... | 2.59375 | 3 |
initial/initial_1.py | mhasan13-here/phase-plane-torch | 0 | 12790829 | <filename>initial/initial_1.py
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 17 01:42:08 2021
@author: mhasan13
using exmaple from
https://github.com/Intelligent-Computing-Lab-Yale/BNTT-Batch-Normalization-Through-Time/blob/main/model.py
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import... | 2.359375 | 2 |
logic2_analyzers/TI TCA6408A/pd.py | martonmiklos/sigrokdecoders_to_logic2_analyzers | 5 | 12790830 | ##
## This file is part of the libsigrokdecode project.
##
## Copyright (C) 2012 <NAME> <<EMAIL>>
## Copyright (C) 2013 <NAME> <<EMAIL>>
## Copyright (C) 2014 alberink <<EMAIL>>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as publishe... | 2.21875 | 2 |
pluto/coms/controller.py | chalant/pluto | 0 | 12790831 | <reponame>chalant/pluto
import uuid
import grpc
from zipline.finance.execution import MarketOrder, StopLimitOrder, StopOrder, LimitOrder
from protos import controller_service_pb2 as ctl, controllable_service_pb2_grpc as cbl_rpc, \
controllable_service_pb2 as cbl, broker_pb2_grpc as broker_rpc, broker_pb2 as br_m... | 1.84375 | 2 |
sgnlp/models/emotion_entailment/train.py | raymondng76/sgnlp | 14 | 12790832 | import math
import pandas as pd
from transformers import Trainer, TrainingArguments
from .config import RecconEmotionEntailmentConfig
from .data_class import RecconEmotionEntailmentArguments
from .modeling import RecconEmotionEntailmentModel
from .tokenization import RecconEmotionEntailmentTokenizer
from .utils impor... | 2.625 | 3 |
M2-Recession/M2SL_recession.py | Icosahedral-Dice/FE | 0 | 12790833 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 18:49:46 2021
@author: wanderer
"""
### Housekeeping ###
import pandas as pd
import pandas_datareader.data as web
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import seaborn as sns
sns.set_style(... | 2.40625 | 2 |
postgres-debezium-ksql-elasticsearch/python_kafka_notify.py | alonsoir/examples-2 | 1,150 | 12790834 | <reponame>alonsoir/examples-2<gh_stars>1000+
# rmoff / 13 Jun 2018
from slackclient import SlackClient
from confluent_kafka import Consumer, KafkaError
import json
import time
import os,sys
token = os.environ.get('SLACK_API_TOKEN')
if token is None:
print('\n\n*******\nYou need to set your Slack API token in the SLAC... | 2.625 | 3 |
Computing Class Test 1/Jerick_FE03.py | granwyntan/Python-Notes | 0 | 12790835 | def maxScore(fe):
FE = {'o': 100,
'e': 10,
'g': 1,
'a': 0,
'b': -1,
'i': -10,
'u': -100}
final=[]
count=len(fe)
for a in range(0,count):
temp = 0
for d in fe[a:]:
temp += int(FE[d])
print(d)
final... | 3.34375 | 3 |
src/__init__.py | Irreq/deer-assistant | 0 | 12790836 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# File name: __init__.py
# Description: Basic format for Python scripts
# Author: irreq (<EMAIL>)
# Date: 17/12/2021
"""Documentation"""
| 1.164063 | 1 |
scoreboard.py | cstuller/alieninvasion | 0 | 12790837 | <filename>scoreboard.py
import pygame.font
from pygame.sprite import Group
from ship import Ship
class Scoreboard():
'''a class to report scoring information'''
def __init__(self, ai_settings, screen, stats):
'''initialize scorekeeping attributes'''
self.screen = screen
self.... | 3.515625 | 4 |
tests/test_forward_backward_tracking.py | Megscammell/Estimating-Direction | 0 | 12790838 | import numpy as np
import est_dir
def test_1():
"""
Test for compute_forward() - check for flag=True.
"""
np.random.seed(90)
m = 10
f = est_dir.quad_f_noise
const_back = 0.5
const_forward = (1 / const_back)
minimizer = np.ones((m,))
centre_point = np.random.unif... | 2.171875 | 2 |
postreview/admin.py | harshiljhaveri/unicode-website | 16 | 12790839 | <reponame>harshiljhaveri/unicode-website
from django.contrib import admin
from .models import Review
admin.site.register(Review)
| 0.90625 | 1 |
creator/child_views/gender_tab.py | Jerakin/FakemonCreator | 4 | 12790840 | import logging as log
from PyQt5 import QtWidgets, uic
from PyQt5.QtCore import Qt
from creator.utils import util
from creator.child_views import shared
from creator.child_views import list_view
GENDERLESS = 0
MALE = 1
FEMALE = 2
class GenderTab(QtWidgets.QWidget, shared.Tab):
def __init__(self, data):
... | 2.21875 | 2 |
App/Server/ChartData.py | sujoy-coder/CFC-2020 | 1 | 12790841 | <reponame>sujoy-coder/CFC-2020
# This Function formating the data to plot in Line Chart ...
def get_LineChartData(date_time,actualPower):
lineChartData = []
for i,j in zip(date_time,actualPower):
lineChartData.append(list((i,j)))
return lineChartData
# This Function formating the data to plot i... | 3.375 | 3 |
alipay/aop/api/response/AlipayEcoDoctemplateSettingurlQueryResponse.py | antopen/alipay-sdk-python-all | 213 | 12790842 | <filename>alipay/aop/api/response/AlipayEcoDoctemplateSettingurlQueryResponse.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayEcoDoctemplateSettingurlQueryResponse(AlipayResponse):
def __init__(self):
super(Alipay... | 2.171875 | 2 |
cpovc_registry/templatetags/app_class.py | Rebeccacheptoek/cpims-ovc-3.0 | 3 | 12790843 | <reponame>Rebeccacheptoek/cpims-ovc-3.0<gh_stars>1-10
from django import template
register = template.Library()
@register.filter(name='get_class')
def get_class(value, args):
if value == args:
return 'active'
else:
split_vals = value.split('/')
if split_vals[1] == args:
... | 1.953125 | 2 |
ponyconf/management/commands/squashemails.py | JulienPalard/PonyConf | 11 | 12790844 | <reponame>JulienPalard/PonyConf<gh_stars>10-100
from django.core.management.base import BaseCommand
from accounts.models import User
class Command(BaseCommand):
help = 'Squash all users email'
def handle(self, *args, **options):
answer = input("""You are about to squash all users email.
This action i... | 2.421875 | 2 |
starfish/test/full_pipelines/cli/test_iss.py | ttung/starfish | 0 | 12790845 | """
Notes
-----
This test and docs/source/usage/iss/iss_cli.sh test the same code paths and should be updated
together
"""
import os
import unittest
import numpy as np
import pandas as pd
import pytest
from starfish.test.full_pipelines.cli._base_cli_test import CLITest
from starfish.types import Features
EXPERIMENT... | 1.953125 | 2 |
gym_idsgame/agents/training_agents/q_learning/dqn/dqn.py | FredericoNesti/gym-idsgame | 15 | 12790846 | <filename>gym_idsgame/agents/training_agents/q_learning/dqn/dqn.py
"""
An agent for the IDSGameEnv that implements the DQN algorithm.
"""
from typing import Union
import numpy as np
import time
import tqdm
import torch
from torch.utils.tensorboard import SummaryWriter
from gym_idsgame.envs.rendering.video.idsgame_monit... | 2.328125 | 2 |
setup.py | helloqiu/SillyServer | 0 | 12790847 | # !/usr/bin/env python
# coding=utf-8
from setuptools import setup, find_packages
import SillyServer
setup(
name="SillyServer",
version=SillyServer.__VERSION__,
author=SillyServer.__AUTHOR__,
url=SillyServer.__URL__,
license=SillyServer.__LICENSE__,
packages=find_packages(),
description="A... | 1.0625 | 1 |
test/manual/annotations/test_list_annotations.py | membranepotential/mendeley-python-sdk | 103 | 12790848 | <reponame>membranepotential/mendeley-python-sdk<filename>test/manual/annotations/test_list_annotations.py
from test import get_user_session, cassette, sleep
from test.resources.documents import create_document, delete_all_documents
def test_should_list_annotations():
session = get_user_session()
delete_all_do... | 2.328125 | 2 |
app/hive_sbi_api/v1/filters.py | josephsavage/hive-sbi-api | 0 | 12790849 | from django_filters import rest_framework as filters
from hive_sbi_api.core.models import Transaction
class TransactionFilter(filters.FilterSet):
account = filters.CharFilter(
field_name='account__account',
label='account',
)
sponsor = filters.CharFilter(
field_name='sponsor__acc... | 2.046875 | 2 |
applications/tensorflow2/image_classification/custom_exceptions.py | payoto/graphcore_examples | 260 | 12790850 | # Copyright (c) 2021 Graphcore Ltd. All rights reserved.
class UnsupportedFormat(TypeError):
pass
class DimensionError(ValueError):
pass
class MissingArgumentException(ValueError):
pass
class InvalidPrecisionException(NameError):
pass
class UnallowedConfigurationError(ValueError):
pass
| 1.75 | 2 |