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 |
|---|---|---|---|---|---|
smapy/utils.py | pvk-developer/smapy | 3 | 154718 | # -*- coding: utf-8 -*-
import configparser
import copy
import importlib
import os
import pkgutil
from collections import defaultdict
def find_subclasses(parent_class, recursive=False):
"""Find the subclasses of a given parent class."""
subclasses = parent_class.__subclasses__()
if recursive:
fo... | [
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13... |
handlers/play.py | Gautampro1834/Telegram_Vc_Bot | 0 | 192982 | <reponame>Gautampro1834/Telegram_Vc_Bot
from os import path
from typing import Dict
from pyrogram import Client
from pyrogram.types import Message, Voice
from typing import Callable, Coroutine, Dict, List, Tuple, Union
from callsmusic import callsmusic, queues
from helpers.admins import get_administrators
from os impor... | [
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... |
codesignal/arcade/python/intro_51_delete_digit.py | tinesife94/random | 0 | 104224 | <reponame>tinesife94/random
def solution(n):
s = str(n)
return max(int('{}{}'.format(s[:i], s[i+1:])) for i in range(len(s)))
| [
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... |
elasticapm/contrib/starlette/__init__.py | lavr/apm-agent-python | 0 | 195435 | # BSD 3-Clause License
#
# Copyright (c) 2012, the Sentry Team, see AUTHORS for more details
# Copyright (c) 2019, Elasticsearch BV
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Red... | [
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tests/integration/commands/test_transfer.py | real-digital/esque | 29 | 113808 | <gh_stars>10-100
import time
from typing import Tuple
import pytest
from click.testing import CliRunner
from confluent_kafka.avro import AvroConsumer, AvroProducer
from confluent_kafka.cimpl import Consumer
from confluent_kafka.cimpl import Producer as ConfluentProducer
from confluent_kafka.cimpl import TopicPartition... | [
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2... |
World 03/Class 17/ex079.py | DanielRios549/PythonExcercises | 6 | 127765 | <reponame>DanielRios549/PythonExcercises
'''
Get an undefined numbers of values and put them in a list.
In the end, show all the unique values in ascendent order.
'''
values = []
while True:
number = int(input('Choose a number: '))
if number not in values:
print(f'\033[32mAdd the number {numbe... | [
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... |
sorting/bubbleSort.py | rp581998/data-structures | 0 | 185692 | <reponame>rp581998/data-structures<gh_stars>0
'''def bubbleSort(arr):
n = len(arr)
for i in range(n):
for j in range(0,n-i-1):
if arr[j] > arr[j+1]:
temp = arr[j]
arr[j] = arr[j+1]
arr[j+1] = temp
arr = [10,9,15,1,5,2,6,3]
bubbleSort(arr)
prin... | [
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302,
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... |
hard-gists/1191457/snippet.py | jjhenkel/dockerizeme | 21 | 21081 | #!/usr/bin/env python
import urllib
import sys
import json
from mwlib import parser
from mwlib.refine import compat
if __name__ == "__main__":
params = urllib.urlencode({
"format": "json",
"action": "query",
"prop": "revisions",
"rvprop": "content",
"titles": "ISO_3166-1",
"rvsection": "4",
})
wc = urll... | [
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12... |
exercises/fit_gaussian_estimators.py | talazulay27/IML.HUJI | 0 | 170652 | <gh_stars>0
import numpy
from plotly.subplots import make_subplots
from IMLearn.learners import UnivariateGaussian, MultivariateGaussian
import numpy as np
import plotly.graph_objects as go
import plotly.io as pio
pio.templates.default = "simple_white"
def test_univariate_gaussian():
# Question 1 - Draw samples... | [
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tests/artificial/test_memory.py | anrddh/memsight | 1 | 1614889 | import angr
import claripy
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '../..'))
from memory import factory
def check(state, obj, exp_values, conditions=()):
r = state.se.eval_upto(obj, len(exp_values) + 1, extra_constraints=conditions)
if len(r) != len(exp_values) or set(r)... | [
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config/looper.py | panoramichq/data-collection-fb | 0 | 129464 | <gh_stars>0
# flake8: noqa: E722
RUN_SWEEP_TIMEOUT = 60 * 60 # seconds
RUN_TASKS_TIMEOUT = 30 * 60 # 30 minutes.
FB_THROTTLING_WINDOW = 20 * 60 # 20 minutes.
OOZER_ENABLE_LEARNING = True
OOZER_LEARNING_RATE = 0.05
OOZER_REVIEW_INTERVAL = 10
OOZER_START_RATE = 100.0
OOZER_MIN_RATE = 10.0
# Hour, DMA, AgeGender * ... | [
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spira/gdsii/cell.py | cloudcalvin/spira | 0 | 153881 | <filename>spira/gdsii/cell.py
import gdspy
import numpy as np
from copy import copy, deepcopy
from spira import param
from spira.core.lists import ElementList
from spira.lne import *
from spira.gdsii import *
from spira.core.initializer import CellInitializer
from spira.core.mixin.property import CellMixin
from spir... | [
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18... |
spockpy/config/app.py | gavindsouza/spockpy | 58 | 1601267 | # imports - compatibility imports
from __future__ import absolute_import
# imports - module imports
from spockpy.config import Config
from spockpy._util import _round_int
def _get_video_panel_size(length):
size = _round_int(length * 0.25)
return (size, size)
class AppConfig(Config):
WINDOW_WIDTH = 1024
WIN... | [
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tests/test_cell.py | nat-chan/nokogiri | 0 | 1606812 | <gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
import unittest
from nokogiri.cell import cell
class test_cell(unittest.TestCase):
def test_スクリプトとしてとして実行したときはラムダ式を返す(self):
self.assertEqual("<lamb... | [
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mamonsu/lib/zbx_template.py | dan-aksenov/mamonsu | 0 | 30304 | <gh_stars>0
# -*- coding: utf-8 -*-
from mamonsu.lib.const import Template
class ZbxTemplate(object):
mainTemplate = u"""<?xml version="1.0" encoding="UTF-8"?>
<zabbix_export>
<version>2.0</version>
<groups>
<group>
<name>Templates</name>
</group>
</groups>
<templates>
... | [
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tests/hadoop-etl/test/compression_types.py | mace84/script-languages | 6 | 103490 | <filename>tests/hadoop-etl/test/compression_types.py
#!/usr/bin/env python2.7
# encoding: utf8
import os
import sys
sys.path.append(os.path.realpath(__file__ + '/../../../lib'))
sys.path.append(os.path.realpath(__file__ + '/../../lib'))
import udf
import utils
import datagen
import hadoopenv
class TestDeflate(util... | [
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13,... |
open_sea_v1/endpoints/abc.py | MyNameIsBondJamesBond/opensea-python-wrapper | 14 | 191919 | <gh_stars>10-100
from abc import ABC, abstractmethod
from typing import Generator, Type
from open_sea_v1.endpoints.client import ClientParams
from open_sea_v1.responses.abc import BaseResponse
class BaseEndpoint(ABC):
@property
@abstractmethod
def __post_init__(self):
"""Using post_init to run p... | [
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parsifal/apps/reviews/migrations/0020_searchresult.py | ShivamPytho/parsifal | 342 | 29244 | <reponame>ShivamPytho/parsifal<filename>parsifal/apps/reviews/migrations/0020_searchresult.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import parsifal.apps.reviews.models
import django.db.models.deletion
class Migration(migrations.Migration):
depen... | [
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emotion_classifier/data/data_utilities/pkl_emotion_fixer.py | IronEdward/chatbot | 0 | 97028 | <gh_stars>0
import pickle as pkl
from Functions.functions import *
data = pkl.load(open("Data(new)/data.pkl", "rb"))
emotion_type = pkl.load(open("Data(new)/emotion_types.pkl", "rb"))
new_data = []
for i in data:
new_data.append([i[0], emotion_type.index(i[1])])
pkl.dump(new_data, open("Data(new)/final_data.pkl... | [
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models/LASSO.py | MattAHarrington/crypto-comovement | 1 | 29226 | #!/usr/bin/env python
# Standard imports
import pandas as pd
import numpy as np
# Pytorch
import torch
from torch import nn
# Using sklearn's LASSO implementation
from sklearn.linear_model import Lasso
# Local Files
from models.model_interface import CryptoModel
class LASSO(CryptoModel):
"""Wrapper around the ... | [
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13,
13,... |
src/util.py | BobToninho/cybersecurity-project | 0 | 142713 | <filename>src/util.py
# Taken from https://github.com/ojroques/garbled-circuit
import json
# HELPER FUNCTIONS
def parse_json(json_path):
with open(json_path) as json_file:
return json.load(json_file)
| [
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app.py | iio1989/oshite | 0 | 12954 | <gh_stars>0
from flask import Flask, render_template, request, redirect, url_for, Markup
import app_helper as apHelp
app = Flask(__name__)
@app.route('/')
def root():
return render_template('home.html')
# click convetBtn. get HttpParam.
@app.route('/post', methods=['GET', 'POST'])
def post():
if request.meth... | [
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tests/test_cache.py | phaustin/jupyter-cache | 0 | 128945 | <gh_stars>0
import os
from textwrap import dedent
import nbformat as nbf
import pytest
from jupyter_cache.cache.main import JupyterCacheBase
from jupyter_cache.base import NbValidityError
NB_PATH = os.path.join(os.path.realpath(os.path.dirname(__file__)), "notebooks")
def test_basic_workflow(tmp_path):
cache ... | [
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298... |
tests/main_test.py | emilianomoscato/stl | 0 | 189336 | import pytest as pytest
from main import select_tasks
from task_selector.taskexceptions import EmptyFileException, \
JSONMissingFieldsExepction
def test_empty_json_list():
assert select_tasks("[]") == "[]"
@pytest.mark.parametrize('json_str,exception', [
(""
, EmptyFileException),
("[{'name': 'A... | [
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15-3SUM/solution.py | alfmunny/leetcode | 0 | 36238 | <gh_stars>0
class Solution:
def threeSum(self, nums: List[int]) -> List[List[int]]:
if len(nums) < 3:
return []
ans = []
nums.sort()
for i in range(0, len(nums)-2):
if nums[i] > 0:
break
if i > 0 and nums[i-1] == nums[i]:
... | [
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web/python/flask_api_mysql_pagination/movies_api/app.py | CALlanoR/virtual_environments | 0 | 188535 | <filename>web/python/flask_api_mysql_pagination/movies_api/app.py
from flask import Flask
from flask_cors import CORS, cross_origin
from flask_jwt_extended import (
JWTManager, jwt_required, create_access_token,
get_jwt_identity
)
app = Flask(__name__)
CORS(app) | [
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models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 0 | 24140 | <gh_stars>0
"""
N layers optimistic neural network
"""
import torch
class ThreeLayersNN(torch.nn.Module):
def __init__(self, in_dim, out_dim, h_dim, activation='relu'):
"""
:param in_dim: (int) input dimension
:param out_dim: (int) output dimension
"""
super(ThreeLayersNN... | [
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day13.py | jm-projects/AdventOfCode2021 | 0 | 166793 | from numpy.core.numeric import count_nonzero
import pandas as pd
import numpy as np
import re
data = pd.read_csv("data/day13.csv", header = None, dtype=str, delimiter= '\n')[0]
codes = [re.split("\s\S\S\s", word) for word in data.values][1:]
# Challenge 1
word = np.array(data.values)[0]
c_dic = {c[0]:c[1] for c in co... | [
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timbr/machine/base_machine.py | timbr-io/timbr-python | 2 | 187294 | <reponame>timbr-io/timbr-python<gh_stars>1-10
from __future__ import print_function
from multiprocessing.pool import ThreadPool
import dask as da
# NOTE: sync mode wil likely be faster
# from dask.async import get_sync as get
from dask.threaded import get
_pool = ThreadPool()
da.set_options(pool=_pool)
try:
from... | [
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apps/organization/urls.py | stormsha/StormOnline | 18 | 1922 | # _*_ coding: utf-8 _*_
# ---------------------------
__author__ = 'StormSha'
__date__ = '2018/3/28 18:01'
# ---------------------------
# -------------------------django----------------------
from django.conf.urls import url
from .views import OrgView, AddUserAskView, OrgHomeView, OrgCourseView, OrgDescView, OrgTeach... | [
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gen_phone.py | jfsantos/ift6266h14 | 8 | 198605 | import cPickle as pickle
import numpy as np
import theano
_mean = 0.0035805809921434142
_std = 542.48824133746177
def gen_phone(mdl, phones, noise_level):
terr_monitor = mdl.monitor.channels['test_objective']
terr = min(terr_monitor.val_record)
X = theano.tensor.dmatrix('X')
P = theano.tensor.dmatrix... | [
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aldryn_redirects/middleware.py | chaosk/aldryn-redirects | 1 | 1617895 | from __future__ import unicode_literals
from django import http
from django.conf import settings
from django.contrib.sites.models import Site
from django.db.models import Q
from .models import Redirect, StaticRedirect
class RedirectFallbackMiddleware(object):
def process_request(self, request):
static_r... | [
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magmap/cv/colocalizer.py | kaparna126/magellanmapper | 10 | 165376 | <reponame>kaparna126/magellanmapper<gh_stars>1-10
# Object colocalization
# Copyright The MagellanMapper Contributors
"""Colocalize objects in an image, typically in separate channels."""
from enum import Enum
import multiprocessing as mp
import pandas as pd
import numpy as np
from skimage import morphology
from mag... | [
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app.py | fdoliveira/infosystem-seed | 1 | 161225 | <filename>app.py
import os
import app
if __name__ == '__main__':
app_host = os.environ.get('HOST', '0.0.0.0')
app_port = int(os.environ.get('PORT', 5000))
system = app.System()
system.run(host=app_host, port=app_port)
| [
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... |
irspack/split/userwise.py | tnakae/irspack | 0 | 131831 | <reponame>tnakae/irspack
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
import pandas as pd
from numpy.lib.arraysetops import unique
from scipy import sparse as sps
from irspack.definitions import InteractionMatrix, OptionalRandomState
from irspack.split.time import split_last_n_interaction_df... | [
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... |
src/pyon/util/poller.py | scionrep/scioncc_new | 2 | 94429 | #!/usr/bin/env python
'''
@author <NAME> <<EMAIL>>
@date Thu Oct 25 15:41:44 EDT 2012
@file pyon/util/poller.py
@brief Utility for polling
'''
import gevent
import functools
def poll(poller, *args, **kwargs):
'''
Polls a callback (poller) until success is met
poller must be a valid callback and returns Tr... | [
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94... |
marconi/tests/queues/storage/base.py | andrew-vant/marconi | 0 | 1613600 | <reponame>andrew-vant/marconi
# Copyright (c) 2013 Red Hat, 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/licenses/LICENSE-2.0
#
# Unless required by appli... | [
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examples/pervasive/modules/wip/ll_controls.py | EricLina/attn2d | 490 | 87177 | import sys
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
def progressive_max(x):
T = x.size(1)
x = F.pad(x, (T-1, 0), 'constant', -1)
x = F.max_pool1d(x.unsqueeze(1).float(), # shape into B, C, T
T, # kernel... | [
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gpvdm_data/shape/Gaus/example.py | roderickmackenzie/gpvdm | 12 | 45840 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
from gpvdm_api import gpvdm_api
def run():
a=gpvdm_api(verbose=True)
a.set_save_dir(device_data)
a.edit("light.inp","#light_model","qe")
a.edit("jv0.inp","#Vstop","0.8")
a.run() | [
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src/orion/algo/robo/__init__.py | lebrice/orion.algo.robo | 0 | 15272 | # -*- coding: utf-8 -*-
"""
Wrapper for RoBO
"""
__descr__ = "TODO"
__license__ = "BSD 3-Clause"
__author__ = u"Epistímio"
__author_short__ = u"Epistímio"
__author_email__ = "<EMAIL>"
__copyright__ = u"2021, Epistímio"
__url__ = "https://github.com/Epistimio/orion.algo.robo"
from ._version import get_versions
__vers... | [
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rgd/geodata/migrations/0004_auto_20210302_2017.py | Erotemic/ResonantGeoData | 0 | 98492 | # Generated by Django 3.2a1 on 2021-03-02 20:17
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('geodata', '0003_auto_20210301_1639'),
]
operations = [
migrations.RemoveField(
model_name='imageentry',
name='failure_reason... | [
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examples/gto/13-symmetry.py | robert-anderson/pyscf | 2 | 120520 | <gh_stars>1-10
#!/usr/bin/env python
#
# Author: <NAME> <<EMAIL>>
#
from pyscf import gto
'''
Specify symmetry.
Mole.symmetry can be True/False to turn on/off the symmetry (default is off),
or a string to specify the symmetry of molecule.
If symmetry is bool type, the atom coordinates might be changed. The molecul... | [
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example_project/myshop/urls.py | bluedisk/django-iamport | 6 | 122996 | <reponame>bluedisk/django-iamport
# -*- coding: utf-8 -*-
from django.conf.urls import url
from django.urls import path
from . import views
app_name = "myshop"
urlpatterns = [
path('', views.home, name='home'),
path('retry_order/<int:order_id>', views.retry_order, name='retry_order'),
]
| [
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defs/__init__.py | scionrep/scioncc_new | 2 | 120067 | # Declare as Python package, such that setuptools can include the data files
# (YML, SQL, etc) with the binary egg distribution. | [
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maxsmi/utils.py | t-kimber/maxsmi | 1 | 149721 | """
utils.py
Python utils functionalities.
Handles the primary functions
"""
import argparse
from maxsmi.augmentation_strategies import (
no_augmentation,
augmentation_with_duplication,
augmentation_without_duplication,
augmentation_with_reduced_duplication,
augmentation_maximum_estimation,
)
d... | [
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583... |
tests/mac-logs/examples/tag/tag.py | andrewp-as-is/mac-logs.py | 1 | 39579 | <filename>tests/mac-logs/examples/tag/tag.py
#!/usr/bin/env python
import mac_logs
mac_logs.tag()
| [
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Task1E.py | Yichen-Cai-yc539/Lab87-Flood-Warning-System | 0 | 169581 | <filename>Task1E.py
from floodsystem.stationdata import build_station_list
from floodsystem.geo import rivers_by_station_number
def run():
stations = build_station_list()
print(rivers_by_station_number(stations, 10))
run() | [
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CtCI_custom_classes/linked_list.py | enyquist/Cracking_the_Coding_Interview | 0 | 1613701 | from random import randint
from CtCI_custom_classes.node import Node
class LinkedList:
def __init__(self):
self.head = None
def insert(self, data):
node = Node(data)
node.set_next(self.head)
self.head = node
def size(self):
current = self.head
count = 0
... | [
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list_tuple/10.py | mdazharuddin1011999/IoT_Assignment_2 | 0 | 108477 | <filename>list_tuple/10.py
from math import pi, exp
consts = (pi, exp)
print("Area of circle is:", consts[0]*int(input("Enter radius of circle: "))**2) | [
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python_reddit_img_download/main.py | brandonyuh/python_reddit_img_download | 1 | 120269 | <filename>python_reddit_img_download/main.py<gh_stars>1-10
import sys
import praw
import re
import pyperclip
import requests
#delete this line
import reddit_variables
# Replace with your own at https://www.reddit.com/prefs/apps
client_id = reddit_variables.client_id
client_secret = reddit_variables.client_secret
user... | [
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13,
5215,
10876,
13,
5215,
20467,
13,
5215,
337,
13,
5215,
11451,
546,
... |
api/core/threads_core.py | michael-pryor/GeoTweetSearch | 1 | 86725 | <reponame>michael-pryor/GeoTweetSearch<filename>api/core/threads_core.py
import logging
import os
from threading import Thread
import traceback
import time
from api.config import Configuration
from api.core.utility import EventTimer
logger = logging.getLogger(__name__)
class BaseThread(Thread):
def __init__(self,... | [
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main/PublicEmotionDatasets/Adobe/process/train_glove.py | cvlab-stonybrook/Emotion-Prediction | 10 | 31650 | <filename>main/PublicEmotionDatasets/Adobe/process/train_glove.py
"""
Copyright (c) 2019 <NAME>
Licensed under the MIT License
Author: <NAME>
Email: <EMAIL>
Last modified: 18/12/2019
Usage:
Run this script to train GloVe model on Adobe tags.
"""
import os
import gluonnlp as nlp
import numpy as np
import matplotlib.py... | [
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tests/contrib/test_discord.py | eblume/flask-dance | 0 | 130882 | <filename>tests/contrib/test_discord.py<gh_stars>0
from __future__ import unicode_literals
import pytest
import responses
from urlobject import URLObject
from flask import Flask
from flask_dance.contrib.discord import make_discord_blueprint, discord
from flask_dance.consumer import OAuth2ConsumerBlueprint
from flask_d... | [
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examples/python/macOS/hack_or_die.py | kitazaki/NORA_Badge | 0 | 20383 | from __future__ import print_function
import time
import uuid
import Adafruit_BluefruitLE
CHARACTERISTIC_SERVICE_UUID = uuid.UUID('0000fee0-0000-1000-8000-00805f9b34fb')
CHARACTERISTIC_DATA_UUID = uuid.UUID('0000fee1-0000-1000-8000-00805f9b34fb')
provider = Adafruit_BluefruitLE.get_provider()
def main():
provi... | [
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isimip_qc/exceptions.py | rouxter/isimip-qc | 4 | 124618 | class FileWarning(Exception):
def __init__(self, file, message, *args, **kwargs):
file.warn(message, *args, **kwargs)
super().__init__(message % args)
class FileError(Exception):
def __init__(self, file, message, *args, **kwargs):
file.error(message, *args, **kwargs)
super().... | [
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src/Step5-extract-votes-for-categories-having-them-all.py | YossiCohen/Cross-Domain-Transfer-Learning-RecSys | 3 | 127866 | import csv
import time
import os
import pandas as pd
DATA_ROOT = "C:\\RS\\Amazon\\All\\"
MINIMUM_X_CATEGORIES_FILENAME = 'minimum_2_Categories.csv'
# MINIMUM_X_CATEGORIES_FILENAME = 'minimum_2_196k.csv'
SOURCE_RATING_FILES_TO_USE = ['ratings_Movies_and_TV.csv','ratings_CDs_and_Vinyl.csv']
TARGET_RATING_FILE = 'rating... | [
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src/pengbot/adapters/facebook/adapter.py | mariocesar/pengbot | 1 | 27520 | <reponame>mariocesar/pengbot<filename>src/pengbot/adapters/facebook/adapter.py
import json
from pengbot.utils import isbound
from .api import Facebook
from ..web import WebAdapter
class Adapter(WebAdapter):
_fbapi = None
@property
def fbapi(self):
if not self._fbapi:
self._fbapi = F... | [
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index.py | PrinceRaiN/Rain-player | 0 | 171572 |
import sys
import os
from os.path import expanduser
from PyQt5.QtWidgets import *
from PyQt5.QtMultimedia import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.uic import loadUiType
import time
scriptDir = os.path.dirname(os.path.realpath(__file__))
SCREEN,_ = loadUiType(os.path.join(os... | [
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editor/scheduler/__init__.py | iamsayem/smart-editor | 0 | 30851 | """
Created by Sayem on 14 March, 2021
All rights reserved. Copyright © 2020.
"""
from .celery import app as celery_app
__author__ = "Sayem"
__all__ = ["celery_app"]
| [
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main/migrations/0028_auto_20170103_1634.py | jsmnbom/htxaarhuslan | 1 | 14708 | <gh_stars>1-10
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-01-03 15:34
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('main', '0027_auto_20170103_1130'),
]
... | [
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main/migration_types.py | sotheara-leang/xFlask | 2 | 159130 | from xflask.sqlalchemy import StringEnum, IntegerEnum
from xflask.type import *
from main.type.edu_level import *
| [
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src/tests/models/test_model.py | ChristianHinge/geometric | 3 | 150443 | import pytest
import torch
from torch_geometric.data import Batch
from src.models.model import GCN
@pytest.fixture
def model():
return GCN(2, 2)
class TestGCN:
def test_model_structure(self, model):
assert model.conv_layers[0].in_channels == 2
assert model.conv_layers[0].out_channels == 64
... | [
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rotkehlchen/tests/exchanges/test_independentreserve.py | rotkehlchenio/rotkehlchen | 137 | 41963 | <reponame>rotkehlchenio/rotkehlchen<gh_stars>100-1000
import warnings as test_warnings
from unittest.mock import patch
import pytest
from rotkehlchen.accounting.structures.balance import Balance
from rotkehlchen.constants.assets import A_AUD, A_ETC, A_ETH
from rotkehlchen.errors.asset import UnknownAsset
from rotkehl... | [
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explore.py | lribiere/explore-mit-bih-arrhythmia-db | 3 | 2193 | import plotly.graph_objects as go
import streamlit as st
import pandas as pd
from utils import *
import glob
import wfdb
import os
ANNOTATIONS_COL_NAME = 'annotations'
'''
# MIT-BIH Arrhythmia DB Exploration
'''
record_ids = [os.path.basename(file)[:-4] for file in glob.glob('data/*.dat')]
if len(record_ids) == 0:
... | [
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hcam_finder/ucam_finder.py | HiPERCAM/hcam_finder | 0 | 172107 | <gh_stars>0
# -*- coding: utf-8 -*-
from __future__ import print_function, absolute_import, unicode_literals, division
import itertools
from ginga.canvas.types.all import Line, CompoundObject
from ginga.util import wcs
from hcam_widgets.tkutils import get_root
from .finders import FovSetter
class UCAMFovSetter(Fov... | [
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webapi/webapi/resources/testurl.py | shovradas/proxy-fellow | 1 | 78404 | <reponame>shovradas/proxy-fellow
import datetime
import time
from flask import url_for
from flask_restful import Resource, abort
from webargs.flaskparser import use_args
from bson.objectid import ObjectId
from core.proxy_checker import HttpProxyChecker
from webapi import api, mongo
from webapi.common import util
from ... | [
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libs/clustering/ensembles/utils.py | greenelab/phenoplier | 3 | 6214 | """
Contains functions to generate and combine a clustering ensemble.
"""
import numpy as np
import pandas as pd
from sklearn.metrics import pairwise_distances
from sklearn.metrics import adjusted_rand_score as ari
from sklearn.metrics import adjusted_mutual_info_score as ami
from sklearn.metrics import normalized_mutu... | [
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rest_slack/app_settings.py | jordaneremieff/django-rest-slack | 1 | 41413 | <reponame>jordaneremieff/django-rest-slack<gh_stars>1-10
import os
from django.conf import settings
SLACK_CLIENT_ID = getattr(settings, 'SLACK_CLIENT_ID', os.environ.get('SLACK_CLIENT_ID'))
SLACK_CLIENT_SECRET = getattr(settings, 'SLACK_CLIENT_SECRET', os.environ.get('SLACK_CLIENT_SECRET'))
SLACK_VERIFICATION_T... | [
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Src/Python/Recently Used List/test_rul.py | foutoucour/TDD-Katas | 4 | 100603 | import unittest
from rul import RecentlyUsedList
class RecentlyUsedListTests(unittest.TestCase):
def test_creating_a_new_list(self):
rul = RecentlyUsedList()
self.assertEqual(len(rul), 0)
def test_inserting_an_item(self):
rul = RecentlyUsedList()
item = 'item'
rul.inser... | [
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1... |
tests/BasicLrTraining.py | felipessalvatore/logical-robustness | 0 | 120083 | <reponame>felipessalvatore/logical-robustness<filename>tests/BasicLrTraining.py
import numpy as np
import pandas as pd
import os
import sys
import inspect
import unittest
from joblib import load
currentdir = os.path.dirname(
os.path.abspath(
inspect.getfile(
inspect.currentframe())))
parentdir... | [
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408,... |
Game_AI_and_Reinforcement_Learning/ConnectX/v2/actor.py | BEPb/Python-100-days | 16 | 46340 | """
Python 3.9 программа самостоятельной игры агентов текущего и предыдущего покаления
программа на Python по изучению обучения с подкреплением - Reinforcement Learning
Название файла actor.py
Version: 0.1
Author: <NAME>
Date: 2021-12-23
"""
import numpy as np
import parl
import os
from alphazero_agent import create_a... | [
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src/common/timestamp.py | vkhaydarov/PlantEye | 1 | 48421 | <reponame>vkhaydarov/PlantEye
from time import time
def get_timestamp():
return int(round(time() * 1000)) | [
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Models/LeNet-5/train.py | sujatasaini/Japanese-character-recognition-using-DropBlock | 2 | 82995 | <reponame>sujatasaini/Japanese-character-recognition-using-DropBlock<gh_stars>1-10
# Import the libraries
from keras import backend as K
from keras.datasets import mnist
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.layers.core import Activation, Flatten, Dense
from keras.models import Sequenti... | [
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scripts/main.py | xdze2/trilobot | 0 | 68144 | <gh_stars>0
import time
import asyncio
import rx
from rx.scheduler.eventloop import AsyncIOScheduler
import rx.operators as op
import time
import matplotlib.pyplot as plt
import numpy as np
import pigpio
from pyrobot.drive import Mobility
from pyrobot.hardware.sonar import UltraSoundSensor
from pyrobot.gpio_mapping ... | [
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29... |
DeepLearning/Utils/prepare_corpus.py | neuralconcept/DrWhoAI | 3 | 110026 | # coding=utf-8
"""
Build vocab with a set max vocab size.
Build token ids given the vocab.
Do get_data.py first.
"""
# from __future__ import unicode_literals, print_function, division
import os
import subprocess
import re
from unidecode import unidecode
from nltk import word_tokenize
from DeepLearning.Utils import C... | [
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370,
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13,
6132,
679,
29918,
1272,
29889,
2272,
937,
29889,
13,
... |
python_code/I_K_ATP_RMP_mg.py | mmaleck/chondrocyte | 1 | 26259 | import numpy as np
from scipy.integrate.odepack import odeint
import matplotlib.pyplot as plt
import functions
from chondrocyte import Voltage_clamp
from params import params_dict
import matplotlib as mpl
"""
The code is used to create Figure 4B for submitted paper
"Probing the putative role of KATP channels and biol... | [
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521,
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src/icupy/number.py | miute/icupy | 0 | 181091 | <filename>src/icupy/number.py<gh_stars>0
"""
Module for icu::number namespace
"""
from .icu.number import * # noqa
| [
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code/src/scripts/pause.py | nuvla/job-engine | 3 | 25578 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import docker
import socket
docker_client = docker.from_env()
myself = docker_client.containers.get(socket.gethostname())
myself.pause() | [
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scvelo/tools/pymc/pymc3_model.py | AlexanderAivazidis/scvelo | 0 | 90635 | <reponame>AlexanderAivazidis/scvelo<filename>scvelo/tools/pymc/pymc3_model.py
# -*- coding: utf-8 -*-
r"""Base Pymc3 model class for all models in pymc3"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pymc3 as pm
import theano
from pymc3.variational.callbacks import CheckParametersConv... | [
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29... |
ml/sandbox/00-data.py | robk-dev/algo-trading | 1 | 2172 | from alpha_vantage.timeseries import TimeSeries
from pprint import pprint
import json
import argparse
def save_dataset(symbol='MSFT', time_window='daily_adj'):
credentials = json.load(open('creds.json', 'r'))
api_key = credentials['av_api_key']
print(symbol, time_window)
ts = TimeSeries(key=api_key, o... | [
1,
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demo_bgl/time_based_mining_invariants.py | elieser1101/loglizer | 0 | 156893 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
__author__ = '<NAME>'
from utils import data_loader as data_loader
from models import mining_invariants as mi
para = {
'path':'../../Data/BGL_data/', # directory for input data
'log_file_name':'BGL_MERGED.log', # filename for log data file
'log_e... | [
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84... |
project1/budget/admin.py | sujeethiremath/Project-1 | 0 | 1609350 | from django.contrib import admin
from budget.models import Budget,BudgetCategory
# Register your models here.
admin.site.register(Budget)
admin.site.register(BudgetCategory)
| [
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6... |
lang/python/pptv_strip.py | liuyang1/test | 8 | 24786 | import sys
fn = sys.argv[1]
fp = open(fn)
fo = open(fn+".flv","wb")
data = fp.read()
offset = int(sys.argv[2])
if len(sys.argv)==3:
fo.write(data[offset:])
else:
l = int(sys.argsv[3])
fo.write(data[offset:offset+l])
fo.close()
fp.close()
| [
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949... |
setup.py | sibyjackgrove/gym-SolarPVDER-environment | 7 | 169503 | from setuptools import setup
setup(name='gym_PVDER',
version='0.0.1',
install_requires=['gym','scipy','numpy','matplotlib']#And any other dependencies required
)
| [
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96... |
projects/jist/jist/datasets/generate2Ddataset.py | Cryptum169/gpmp2 | 0 | 148086 | <reponame>Cryptum169/gpmp2<filename>projects/jist/jist/datasets/generate2Ddataset.py
import numpy as np
from gtsam import *
from gpmp2 import *
import math
from random import Random
dataset_random = Random()
class Obstacle:
"""docstring for Dataset"""
def __init__(self):
self.x = None
self.... | [
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13,
... |
EvalEmbeddings.py | satyarth934/SpaceForceDataSearch | 1 | 178128 | import scann
from argparse import ArgumentParser
from pl_bolts.models.self_supervised import SimCLR
from pl_bolts.models.self_supervised.resnets import resnet18
from pl_bolts.models.self_supervised.simclr.transforms import SimCLREvalDataTransform, SimCLRTrainDataTransform
from pathlib import Path
import torch
import os... | [
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9136,... |
Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/grades/course_grade.py | osoco/better-ways-of-thinking-about-software | 3 | 28320 | <reponame>osoco/better-ways-of-thinking-about-software
"""
CourseGrade Class
"""
from abc import abstractmethod
from collections import OrderedDict, defaultdict
from ccx_keys.locator import CCXLocator
from django.conf import settings
from lazy import lazy
from openedx.core.lib.grade_utils import round_away_from_zer... | [
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Scripts/hilberttrans.py | TChauvire/EPR_ESR_Suite | 2 | 88749 | <reponame>TChauvire/EPR_ESR_Suite
import numpy as np
from scipy.signal import hilbert
def hilberttrans(data, N=None):
"""
Hilbert transform.
Reconstruct imaginary data via hilbert transform.
This script is freely inspired by the easyspin suite from the Stefan Stoll lab
(https://github.com/Stol... | [
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__main__.py | Arab-developers/PSHMode | 27 | 1602691 | <reponame>Arab-developers/PSHMode<gh_stars>10-100
import os
import runpy
runpy.run_path(os.path.join(os.path.abspath(__file__).rsplit("/", 1)[0], "bin/PSHMode"))
| [
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13,
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29... |
scripts/update_hashes.py | presalytics/amplitude | 1 | 1606866 | import yaml
import sys
import git # type: ignore
import os
import pathlib
if __name__ == '__main__':
repo = git.Repo(search_parent_directories=True)
sha = repo.head.object.hexsha
manifests_dir = pathlib.Path(__file__).parent.absolute().parent.absolute().joinpath('manifests')
for manifest in os.listdir... | [
1,
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29877... |
bot/handlers/bans.py | Mehavoid/telegram-feedback-bot | 41 | 148008 | from contextlib import suppress
from aiogram import Dispatcher, types
from aiogram.dispatcher.filters import IsReplyFilter, IDFilter
from bot.blocklists import banned, shadowbanned
from bot.handlers.adminmode import extract_id
async def cmd_ban(message: types.Message):
try:
user_id = extract_id(message)... | [
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13,
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29889,
1271,
215... |
app/views.py | TheWolfA2/cppstyle | 0 | 173640 | import os
from flask import render_template, redirect, session, url_for, request, send_from_directory, jsonify
from app import app
from werkzeug import secure_filename
from style_grader_main import style_grader_driver
app.config['UPLOAD_FOLDER'] = 'uploads/'
app.config['ALLOWED_EXTENSIONS'] = set(['cpp', 'h'])
# @app... | [
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1... |
main.py | IgorZyktin/Colortex | 17 | 76010 | <filename>main.py
"""
Colortex - simple textual painter
Based on:
https://gist.github.com/BigglesZX/4016539
https://gist.github.com/almost/d2832d0998ad9dfec2cacef934e7d247
"""
import ct_images
import ct_files
def main():
"""
Main flow
"""
print('--- Colortex image conversion... | [
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793,
29999,
... |
icrawler/utils/session.py | awesome-archive/icrawler | 0 | 86127 | <filename>icrawler/utils/session.py
import requests
from six.moves.urllib.parse import urlsplit
class Session(requests.Session):
def __init__(self, proxy_pool):
super(Session, self).__init__()
self.proxy_pool = proxy_pool
def _url_scheme(self, url):
return urlsplit(url).scheme
d... | [
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13,
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16441,
29898,
24830,
29889,
7317,
1125,
... |
passwordValidator.py | valentinsoare/currentlyLearningPythonProjectsBased | 1 | 108516 | #!/usr/bin/python3
import re
def catch_input():
password = input(f'\n\033[1;31m *Enter Your Password for Validation:\033[0m ')
return password
def password_validator_rules(input_rule, given_password):
rules = re.compile(input_rule)
pattern = re.search(rules, given_password)
return True if patt... | [
1,
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29941,
29961,
29896,
29936,
29941,
29896,
29885,
33... |
mainapp/migrations/0001_initial.py | CheboiDerrick/hood-alert | 0 | 170252 | <gh_stars>0
# Generated by Django 3.2.9 on 2021-11-02 22:27
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | [
1,
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29896,
29899,
29896,
29896,
29899,
29900,
29906,
29871,
29906,
29906,
29901,
29906,
29... |
pendulum.py | x75/playground | 0 | 1604798 | <gh_stars>0
"""Quick test of data asymmetry in a motor driven pendulum"""
import numpy as np
import matplotlib
import matplotlib.gridspec as gridspec
# matplotlib.use("Cairo")
import matplotlib.pyplot as plt
l = 2e-0
g = 9.81
m = 1.0
cf = -4.8
# cf = -1.45
fr = 1e-2
one_over_fr = 1 - fr
scale = 1.0 # 0.1
# dt ... | [
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13,
5215,
12655,
408,
7442,
13,
5215,
22889,
13,
13,
5215,
228... |
golden_search.py | nandaVT/Optimization-Techniques-for-Engineering-design | 0 | 189907 | import sys
try:
import math
import sympy as sym
from sympy import sin,cos,tan,N
except:
print("Packages not installed. Please install 'sympy' package")
sys.exit()
print("Fibonacci search method")
x = sym.Symbol('x')
def substitute(k):
return (f.subs(x,k))
while(True):
s =... | [
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13161,
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29940,
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13,
19499,
29901,
30004,
13,
... |
kivy/input/providers/linuxwacom.py | VICTORVICKIE/kivy | 13,889 | 66757 | <filename>kivy/input/providers/linuxwacom.py
'''
Native support of Wacom tablet from linuxwacom driver
=====================================================
To configure LinuxWacom, add this to your configuration::
[input]
pen = linuxwacom,/dev/input/event2,mode=pen
finger = linuxwacom,/dev/input/event3,m... | [
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510,
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13,
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9166,
9166,
2751,
29922,
13,
1... |
section-3-13-mini_project-solution.py | gopal-amlekar/Jumpstart-IOT-Exercise | 1 | 75991 | import RPi.GPIO as GPIO
import smbus
import time
SHT21_ADD = 0x40
SHT21_STATUS_MASK = 0xFFFC
SHT21_MEASURE_TEMP_CMD = 0xF3
SHT21_MEASURE_HUM_CMD = 0xF5
MAX_TEMPERATURE = 120
MAX_HUMIDITY = 100
temperatureBarGraph = [26,23,20,17,14,11,8,5]
humidityBarGraph = [27,24,21,18,15,12,9,6]
unusedLEDs = [16,13,10,7]
temper... | [
1,
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12197,
29889,
29954,
2227,
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353,
29871,
29900,
29916,
29946,
29900,
13,
29903,
3912,
29906,
29896,
29918,
270... |
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