id stringlengths 1 8 | text stringlengths 6 1.05M | dataset_id stringclasses 1
value |
|---|---|---|
6588271 | from local_server import *
class LocalServerMock(LocalServer):
def __init__(self):
"""
Mock Local Server
"""
self._is_from_test = True
super().__init__()
| StarcoderdataPython |
354340 | <filename>src/crypto.py
from Crypto.Cipher import AES
from hashlib import sha256
from base64 import b64encode
def create_key(string):
"""
Creates sha256 hash key from given string. Key is of the right length for AES encryption.
:param string: String encoded with UTF-8.
:returns: String key, a hash of ... | StarcoderdataPython |
6574585 | <reponame>yongkangzzz/mmfgroup
"""
===============================================================================
shap_explainer.py
explainer class for singlemodal or multimodal inputs
===============================================================================
"""
import matplotlib.pyplot as plt
import shap
impor... | StarcoderdataPython |
5037006 | import datetime
date_tomorrow = datetime.date.today() + datetime.timedelta(days=1)
date_tomorrow_iso = date_tomorrow.isoformat()
def filter_today(docs):
returned_array = []
for doc in docs:
d = doc["doc"]
# TODO: If due less than tomorrow
if d["due"] and d["due"] < date_tomorrow_iso:
... | StarcoderdataPython |
6697840 | import torch
from torch.nn.parameter import Parameter
A = torch.tensor([[[[1, 2, 0, 1],
[-1, 0, 3, 2],
[1, 3, 0, 1],
[2, -2, 1, 0]]]]).float()
conv2d = torch.nn.Conv2d(1, 1, kernel_size = 2, bias = False)
conv2d.weight = Parameter(torch.tensor([[[[1, -1], [-... | StarcoderdataPython |
3360947 | from time import time
import requests
urls = ["https://www.naver.com", "http://www.google.com", "https://www.nytimes.com", "https://www.mlb.com", "https://www.kakaocorp.com"]
begin = time()
result = []
for url in urls:
response = requests.get(url)
page = response.text
result.append("{0} Bytes".format(len(... | StarcoderdataPython |
166826 | '''Defines data and parameters in an easily resuable format.'''
# Common sequence alphabets.
ALPHABETS = {
'dna': 'ATGCNatgcn-',
'rna': 'AUGCNaugcn',
'peptide': 'ACDEFGHIKLMNPQRSTVWYXacdefghiklmnpqrstvwyx'}
COMPLEMENTS = {
'dna': {'A': 'T', 'T': 'A', 'G': 'C', 'C': 'G', 'N': 'N', 'a': 't',
... | StarcoderdataPython |
12852654 | <gh_stars>10-100
"""CLI handling for `routemaster`."""
import logging
import yaml
import click
import layer_loader
from routemaster.app import App
from routemaster.cron import CronThread
from routemaster.config import ConfigError, load_config
from routemaster.server import server
from routemaster.middleware import wr... | StarcoderdataPython |
3421953 | <filename>doc/adjusted_MLE/tests/test_risk.py
import numpy as np, os, itertools
import pandas as pd
from rpy2 import robjects
import rpy2.robjects.numpy2ri
rpy2.robjects.numpy2ri.activate()
import rpy2.robjects.pandas2ri
from rpy2.robjects.packages import importr
from .comparison_metrics import (sim_xy,
... | StarcoderdataPython |
6683573 | #!/usr/bin/env python
import sys
import psycopg2
def execute(clause):
db = psycopg2.connect("dbname=news")
cursor = db.cursor()
cursor.execute(clause)
res = cursor.fetchall()
db.close()
return res
def get_top3_articles():
res = execute("""
SELECT * FROM article_log_view
O... | StarcoderdataPython |
4811921 | # 1. Reebok is designing a new type of Crossfit shoe, the Nano X. The fixed cost for the
# production will be $24,000. The variable cost will be $36 per pair of shoes. The shoes will
# sell for $107 for each pair. Using Python, graph the cost and revenue functions and
# determine how many pairs of sneakers will have to... | StarcoderdataPython |
157465 |
from server.worker import celery
from server.main.models import VirtualMachineModel
@celery.task()
def task_vmspawning(id):
vmachine = VirtualMachineModel.get(id)
vmachine.spawn(
dhcp=False,
on_running=running_vmcreate_callback,
on_success=success_vmcreate_callback,
on_error=er... | StarcoderdataPython |
1809544 | <gh_stars>0
import json
from project_manager_pro._meta import cache_commands
from colorama import init, Style, Fore, Back
init(autoreset=True)
def _acmd(alias, body):
file = open(cache_commands, 'r', encoding='utf-8')
commands = json.load(file)
commands[alias] = body
print(Fore.GREEN + '' + alias ... | StarcoderdataPython |
8078283 | import xml.etree.ElementTree as xml_tree
import pandas as pd
import numpy as np
import os
import shutil
def check_box(path):
files = os.listdir(path)
i = 0
for anna_file in files:
tree = xml_tree.parse(path+"/"+anna_file)
root = tree.getroot()
# Image shape.
size = root.fi... | StarcoderdataPython |
8026276 | from argparse import Namespace
from maskrcnn.train import run
args = Namespace()
args.comment = 'MXInfer'
args.config = ['main', 'mexico', 'infer']
args.mode = ['infer']
args.resume_run = 'run_01_PretrainPool'
args.no_cuda = False
args.cuda_max_devices = 1
run(args)
| StarcoderdataPython |
299799 | <filename>dqn/policies/categorical_mlp_q_policy.py
from rllab.core.lasagne_powered import LasagnePowered
import lasagne.layers as L
from rllab.core.network import MLP
from rllab.distributions.categorical import Categorical
from rllab.policies.base import Policy
from rllab.misc import tensor_utils
from rllab.spaces.disc... | StarcoderdataPython |
9674700 | <reponame>LabRobPL/robotics-toolbox-python
import numpy as np
from spatialmath import base
def jacobian_numerical(f, x, dx=1e-8, N=0):
r"""
Numerically compute Jacobian of function
:param f: the function, returns an m-vector
:type f: callable
:param x: function argument
:type x: ndarray(n)
... | StarcoderdataPython |
4883902 | <reponame>ayroti-18/Competitive-Programming<gh_stars>1-10
#link https://practice.geeksforgeeks.org/problems/union-of-two-arrays/0#
from collections import defaultdict
for _ in range(int(input())):
n, m = map(int, input().split())
narr = list(map(int, input().split()))
marr = list(map(int, input().split()))... | StarcoderdataPython |
398498 | import logging
def monitor(app, store_event):
state = app.events.State()
def announce_failed_tasks(event):
state.event(event)
# task name is sent only with -received event, and state
# will keep track of this for us.
task = state.tasks.get(event['uuid'])
store_event({'... | StarcoderdataPython |
213334 | <reponame>adrianurdar/Automate-The-Boring-Stuff
# madLibs.py - reads in text files and lets the user add their own text anywhere the word
# ADJECTIVE, NOUN, ADVERB, or VERB appears in the text file
# Usage: madLibs.py
import re
from pathlib import Path
import sys
def madLib():
# Ask user to name the file he wa... | StarcoderdataPython |
1624557 | # Copyright (c) 2014 University of California, Davis
#
#
# 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 the rights to use, copy, modify,... | StarcoderdataPython |
6605164 | # 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, software
# distrib... | StarcoderdataPython |
1670590 | <filename>src/Latis.py
import io # Nécessaire car le fichier est encodé en 'utf-16-le'
import xmltodict # Pour lire facilement le fichier xml
import struct
import binascii
def nettoyage(texte: str):
# Le fishier ne respecte pas totalement la norme xml
# La première partie (qui nous intéresse) est valide
... | StarcoderdataPython |
8179937 | import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import scipy.interpolate
import scipy.signal
import scipy.spatial
import scipy.stats
import sys
# %% Load data
case = int(sys.argv[1])
print("Case " + str(case))
suffix = '_uphavg'
basedata = np.load('/home/nc1472/git/qg-e... | StarcoderdataPython |
8157836 | <filename>app/objects/c_data_encoder.py
from abc import abstractmethod
import marshmallow as ma
from app.objects.interfaces.i_object import FirstClassObjectInterface
from app.utility.base_object import BaseObject
class DataEncoderSchema(ma.Schema):
name = ma.fields.String()
description = ma.fields.String()
... | StarcoderdataPython |
6702289 | <gh_stars>1-10
# Copyright 2018 PerfKitBenchmarker Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | StarcoderdataPython |
6701123 | import abc
import tensorflow as tf
import numpy as np
from railrl.predictors.state_action_network import StateActionNetwork
from railrl.core.tf_util import he_uniform_initializer, xavier_uniform_initializer, mlp, conv_network, linear
class NNQFunction(StateActionNetwork, metaclass=abc.ABCMeta):
def __init__(
... | StarcoderdataPython |
1821487 | """
# Sample code to perform I/O:
name = input() # Reading input from STDIN
print('Hi, %s.' % name) # Writing output to STDOUT
# Warning: Printing unwanted or ill-formatted data to output will cause the test cases to fail
"""
# Write your code here
t = int(input())
for _ in range(t):
s =... | StarcoderdataPython |
5176173 | <filename>matmodlab2/core/material.py
import numpy as np
from collections import OrderedDict
from copy import deepcopy as copy
from .misc import add_metaclass
class BaseMaterial(type):
def __call__(cls, *args, **kwargs):
"""Called before __init__ method is called"""
# Call the objects __init__ me... | StarcoderdataPython |
308658 | # Advent of Code 2020
# Day 02
# Author: irobin591
import os
import doctest
import re
with open(os.path.join(os.path.dirname(__file__), "input.txt"), 'r') as input_file:
input_data = input_file.read().strip().split('\n')
def prep_data(input_data):
# 0: min amount of char | no 1
# 1: max amount of char |... | StarcoderdataPython |
1755509 | #! /usr/bin/env python
import sys
sys.path.insert(0, sys.path[0]+'/source')
sys.path.insert(0, sys.path[0]+'/Objects')
sys.path.insert(0, sys.path[1]+'/Calculator')
sys.path.insert(0, sys.path[2]+'/Solver')
sys.path.insert(0, sys.path[3]+'/Models')
sys.path.insert(0, sys.path[4]+'/Models/AGN_Models')
sys.path.insert(0,... | StarcoderdataPython |
6469973 | <reponame>Allianaab2m/teammaker<filename>cogs/team.py
from discord import Message
import discord
from discord.ext.commands import Bot, Cog, Context, command
import random
class Team(Cog):
__slots__ = "bot"
def __init__(self, bot: Bot) -> None:
self.bot = bot
@command()
async def team(self, c... | StarcoderdataPython |
8001768 | import cv2
from PIL import Image
import numpy as np
import os.path as osp
from utils import getInstanceColorImage, make_palette, color_seg
import argparse
def getDispSeman(ins_img_mask):
disp_img = cv2.imread("disparity/6_l.png")
disp_img = cv2.cvtColor(disp_img, cv2.COLOR_BGR2GRAY)
sub_disp_img = ins_img... | StarcoderdataPython |
5059481 | from django.contrib.sites.models import Site
from django.core.files.base import ContentFile
from django.test import TestCase
from django.test.utils import override_settings
from django.utils import timezone
from django.utils.translation import gettext as _
from django_comments.models import Comment
import pytz
from qa... | StarcoderdataPython |
9761595 | <filename>src/beautifulstew.py
from bs4 import BeautifulSoup
def xml_2_soup(input_file):
try:
with open(input_file) as file:
data = file.read()
data_unescaped = html.unescape(data)
soup = BeautifulSoup(data_unescaped, "lxml")
return soup
except:
l... | StarcoderdataPython |
9789629 | from .base import load_acute_inflammations
from .base import load_cervical_cancer
from .base import load_diabetes
from .base import load_diagnostic_breast_cancer
from .base import load_fertility
from .base import load_heart_disease
from .base import load_mammographic_masses
from .base import load_pima_indians_diabetes
... | StarcoderdataPython |
1974608 | <filename>masters/master.chromium.lkgr/master_lkgr_cfg.py
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from buildbot.process.properties import WithProperties
from master import gitiles_poller
from ... | StarcoderdataPython |
108007 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import setuptools, os
import kicost
import re
SHOW_LAST_HISTORY=3
try:
from setuptools import setup
from setuptools.command.develop import develop
from setuptools.command.install import install
except ImportError:
from distutils.core import ... | StarcoderdataPython |
5191986 | <filename>doac/conf.py
from django.conf import settings
import datetime
class Settings:
def __init__(self, options):
self.handlers = options.get("HANDLERS", None)
if not self.handlers:
self.handlers = (
"doac.handlers.bearer.BearerHandler",
)
... | StarcoderdataPython |
1704894 | <filename>tgsettings.py
tg_key='telegram-bot-key'
tmp_dir = '/tmp'
tmp_uids = tmp_dir + "/uids.txt"
log_file = "/var/log/tgbot/tgbot.log"
debug = True
markdown = True
html = False | StarcoderdataPython |
1964275 | from __future__ import absolute_import
#!/usr/bin/env python
import numpy as np
from scipy.stats import norm
import scipy.linalg as spl
from ..utils import (multiple_mahalanobis, z_score, multiple_fast_inv,
check_cast_bin8)
from nose.tools import assert_true, assert_equal, assert_raises
from nu... | StarcoderdataPython |
1684532 | import tensorflow as tf
import numpy as np
import pyomo.environ as pyo
from relumip import AnnModel
from relumip.utils.visualization import plot_results_2d
# Load the trained tensorflow model which will be embedded into the optimization problem.
tf_model = tf.keras.models.load_model('data/peaks_3x10.h5')
# Create a ... | StarcoderdataPython |
4899576 | import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')
import numpy as np
X = np.array([[1, 2], [1.5, 1.8], [5, 8], [8, 8], [1, 0.6], [9, 11]])
plt.scatter(X[:, 0], X[:, 1], s=150)
plt.show()
colors = 10 * ["g", "r", "c", "b", "k"]
class K_Means:
def __init__(self, k=2, tol=0.001, ma... | StarcoderdataPython |
6686462 | __all__ = ['AsyncPythonInterpreter']
try:
import fcntl
except:
fcntl = None
import os
import sys
import socket
from StringIO import StringIO
from netrepr import NetRepr, RemoteObjectPool, RemoteObjectReference
import objc
from Foundation import *
IMPORT_MODULES = ['netrepr', 'remote_console', 'remote_pipe', '... | StarcoderdataPython |
5186860 | <filename>deepnodal/python/functions/hypervisor.py
"""
Hypervisor module for Tensorflow.
"""
# <NAME>
#-------------------------------------------------------------------------------
from deepnodal.python.functions.supervisor import *
from deepnodal.python.concepts.master import *
#----------------------------------... | StarcoderdataPython |
6699360 | <filename>utils/score_utils.py
import numpy as np
# calculate mean score for AVA dataset
def mean_score(scores):
si = np.arange(1, 11, 1)
mean = np.sum(si * scores,axis=-1)
return mean
# calculate standard deviation of scores for AVA dataset
def std_score(scores):
if len(scores.shape) < 3:
sco... | StarcoderdataPython |
3361129 | #! python3
import docx
def getDocxText(filename):
doc = docx.Document(filename)
fullText = []
for para in doc.paragraphs:
fullText.append(para.text)
return '\n\n'.join(fullText)
| StarcoderdataPython |
4889325 | <reponame>mmulich/wildbook-ia
# -*- coding: utf-8 -*-
import numpy as np # NOQA
import utool as ut
# import logging
import itertools as it
import copy
import six
import collections
from wbia import constants as const
from wbia.algo.graph import nx_dynamic_graph
# from wbia.algo.graph import _dep_mixins
from wbia.alg... | StarcoderdataPython |
313339 | import lasagne.layers as L
import lasagne.nonlinearities as NL
import lasagne.init
import theano.tensor as TT
import theano
import lasagne
from rllab.core.lasagne_powered import LasagnePowered
from rllab.core.serializable import Serializable
from rllab.core.network import MLP
from rllab.misc import ext
from rllab.misc... | StarcoderdataPython |
11252249 | import os.path
import pandas as pd
from stock.globalvar import HIST_DIR
def load_csv(symbol):
path = os.path.join(HIST_DIR["stock"], symbol)
df = pd.read_csv(path, index_col=0, engine='c', dtype=str)
return df
| StarcoderdataPython |
3347153 | <filename>setup.py
"""setuptools module for solana.py."""
from setuptools import find_namespace_packages, setup
extras_require = {
"dev": [
"black",
"pytest",
"pylint",
"pytest-tornasync",
"mypy",
"pydocstyle",
"flake8",
"isort",
"pytest-dock... | StarcoderdataPython |
12841010 | from ..models.base_agent import BaseAgent
class MockAgent(BaseAgent):
def __init__(self, testapp, moves, game_id, player):
self.testapp = testapp
self.args = []
self.kwargs = []
self.moves = iter(moves)
self.past_end = False
super().__init__(game_id, player)
de... | StarcoderdataPython |
9733082 | #
# pystylus/ast/importnode.py
#
"""
Contains the two import nodes in the stylus AST
"""
class ImportNode:
"""
A stylus import statement created from the line "@import xxx" where the xxx
does NOT end with ".css". This is a command to stylus to import another
file into the current one.
"""
def... | StarcoderdataPython |
120693 | <gh_stars>1-10
import discord
import helper
import numpy
numpy.random.seed(9999)
import tensorflow
from tensorflow import keras
async def find_friends(user, guild, dictionary):
"""
Creates dictionary of floats representing similarity percentage mapped to Discord user mentions based on the user and guild
Argument... | StarcoderdataPython |
78914 | import ray
import torch
from collections import namedtuple, defaultdict
from itertools import count, chain
from flatland.envs.agent_utils import RailAgentStatus
from agent.PPO.PPORollout import PPORollout, PPOTransition
class PPORunner():
def _select_actions(self, state, done):
valid_handles = list()
... | StarcoderdataPython |
1837783 | from __future__ import annotations
from collections.abc import Collection
from typing import Callable, Protocol, TypeVar
Element = TypeVar("Element")
Comparator = Callable[[Element, Element], bool]
MIN_COMPARATOR: Comparator = lambda x, y: x < y
MAX_COMPARATOR: Comparator = lambda x, y: x < y
class Node(Protoco... | StarcoderdataPython |
3404703 | <gh_stars>10-100
# Copyright 2022 Huawei Technologies Co., Ltd
#
# 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... | StarcoderdataPython |
8005069 | import sys
import torch.nn as nn
import torch.nn.functional as F
from layers import GraphConvolution
import torch
from torch.nn.parameter import Parameter
class Co_GCN(nn.Module):
def __init__(self, input_size, hidden_size, output_size, dropout=0.3, indep_weights=False):
super(Co_GCN, self).__init__()
... | StarcoderdataPython |
329458 | <reponame>vermavis/cbtool
#!/usr/bin/env python3
#/*******************************************************************************
# Copyright (c) 2012 IBM Corp.
# 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 ... | StarcoderdataPython |
3512903 | def rot13(s):
"ROT-13 Ceaser Cypher"
return s.translate(
str.maketrans(
"ABCDEFGHIJKLMabcdefghijklmNOPQRSTUVWXYZnopqrstuvwxyz",
"NOPQRSTUVWXYZnopqrstuvwxyzABCDEFGHIJKLMabcdefghijklm"
)
)
| StarcoderdataPython |
1680927 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='home'),
path('about/', views.about, name='about'),
path('contact/', views.contact, name='contact'),
path('privacy/', views.privacy, name='privacy'),
path('terms/', views.terms, name='terms'),
]
| StarcoderdataPython |
1651293 | <filename>full.py
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Module to fetch images(or other types of attachments)
from VK dialog and download them to local drive.
"""
from time import time
from sys import stdout
import urllib.request
import requests
import json
def get_photos(folder, **kwargs):
"""
Fetc... | StarcoderdataPython |
1780271 | # Generated by Django 3.0.4 on 2020-03-13 13:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('kobe', '0006_kobepost_summittime'),
]
operations = [
migrations.RemoveField(
model_name='kobepost',
name='summitTime... | StarcoderdataPython |
5088603 | from django.apps import AppConfig
class ExtractionConfig(AppConfig):
name = 'extraction'
| StarcoderdataPython |
170605 | """Tests for graphein.protein.features.nodes.amino_acids"""
# Graphein
# Author: <NAME> <<EMAIL>>, <NAME>
# License: MIT
# Project Website: https://github.com/a-r-j/graphein
# Code Repository: https://github.com/a-r-j/graphein
from functools import partial
import numpy as np
import pandas as pd
from pandas.testing im... | StarcoderdataPython |
5183228 | <gh_stars>0
import json
import os
import subprocess
import urllib.request
def lambda_handler(event, context):
# Download the CLI and make it executable; must use 1.33.0+
file_name, headers = urllib.request.urlretrieve("https://s3-us-west-2.amazonaws.com/confluent.cloud/ccloud-cli/binaries/1.33.0/ccloud_1.33.0_... | StarcoderdataPython |
3567260 | <reponame>Eurydia/Xian-assignment
n = input()
arr = list(map(int, input().split()))
print(all(i > 0 for i in arr) and any(i < 10 or i % 11 == 0 for i in arr))
| StarcoderdataPython |
6645439 | # Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework Foundation
#
# 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
... | StarcoderdataPython |
337271 | <reponame>lesserwhirls/scipy-cwt<filename>scipy/sparse/linalg/eigen/__init__.py
"Sparse eigenvalue solvers"
from info import __doc__
from arpack import *
from lobpcg import *
__all__ = filter(lambda s:not s.startswith('_'),dir())
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
| StarcoderdataPython |
9769716 | from __future__ import absolute_import
import json
import os
import unittest
from functools import partial
import cwltool.pack
from cwltool.main import print_pack as print_pack
import cwltool.workflow
from cwltool.load_tool import fetch_document, validate_document
from cwltool.main import makeRelative
from cwltool.pat... | StarcoderdataPython |
1897726 | <gh_stars>0
from io import StringIO
class Diagnostics_HTML():
def __init__(self, settings, device, page_elements):
self.config = settings
self.device = device
self.diagnostics_html = None
self.page_elements = page_elements
def get_diagnostics_html(self, base_url, force_update... | StarcoderdataPython |
61623 | <reponame>rombie/contrail-test
'''
Generate Policy test scenarios based on user input.
Policy test cases can be built based on this topology.
'''
import copy
from random import choice
class PolicyTestBasicConfig_1():
def __init__(self):
self.vmc_list = []
self.vnet_list = []
self.policy_... | StarcoderdataPython |
9746080 | """Unit tests for hello_world.py."""
from hello_world.hello_world import hello
def test_hellow_world():
assert hello("Frank") == "Hello Frank"
assert hello("Sam") == "Hello Sam"
| StarcoderdataPython |
7957 | #!/usr/bin/env python
#
#The MIT License (MIT)
#
# Copyright (c) 2015 Bit9 + Carbon Black
#
# 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 t... | StarcoderdataPython |
9616265 | <reponame>mzweig/LogicalLens
from setuptools import find_packages, setup
setup(
name='logical-lens',
version='0.0.1',
description='Python library for using parametric specifications to'
'embed domain specific knowledge in machine learning.',
url='https://github.com/mvcisback/LogicalLens',
autho... | StarcoderdataPython |
6683365 | """ Terrain package """
from .terrain import Terrain
from .wms import WMS
from .srtm import SRTM
from .threedep import ThreeDEP
__all__ = [
"Terrain",
"WMS",
"SRTM",
"ThreeDEP"
]
| StarcoderdataPython |
46792 | """This imports all the lib package classes"""
from gateway import Gateway
| StarcoderdataPython |
8076355 | # Generated by Django 3.0.3 on 2020-07-04 20:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0003_auto_20200704_0236'),
]
operations = [
migrations.AddField(
model_name='customer',
name='gender',
... | StarcoderdataPython |
4910549 | # -*- coding: utf-8 -*-
#
# djangoplicity-contacts
# Copyright (c) 2007-2011, European Southern Observatory (ESO)
# 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 ... | StarcoderdataPython |
3369343 | #!/bin/python3
"""
Script to perform hyperparameter optimization on a reservoir computer with the specified options.
Run as:
python3 opt_then_test.py SYSTEM MAP_INITIAL PREDICTION_TYPE METHOD [Results directory] [options...]
### Script arguments ###
Choose SYSTEM from ["lorenz", "rossler", "thomas", "softrobot"]
C... | StarcoderdataPython |
9738677 | <reponame>Galland/kivy
'''
Widget animation
================
This example demonstrates creating and applying a multi-part animation to
a button widget. You should see a button labelled 'plop' that will move with
an animation when clicked.
'''
import kivy
kivy.require('1.0.7')
from kivy.animation import Animation
fro... | StarcoderdataPython |
11352153 | <reponame>Funtimes-Smarts/Python-import-Smart<gh_stars>0
# pylint: disable=C0111,R0902,R0904,R0912,R0913,R0915,E1101
# Smartsheet Python SDK.
#
# Copyright 2017 Smartsheet.com, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"): you may
# not use this file except in compliance with the License. You... | StarcoderdataPython |
10285 | <reponame>jlsmirandela/Curso_Python
print('-+-' *10)
print(' <NAME> PA')
print('+-+' * 10)
c = 1
ter = int(input('Insira o primeiro termo - '))
rz = int(input('Insira a razão - '))
while c <= 10:
print(ter, ' → ', end=' ')
ter += rz
c += 1
print('FIM')
| StarcoderdataPython |
6438906 | """Testing file path evaluation when using import_tasks / include_tasks."""
import textwrap
from pathlib import Path
from typing import Dict
import pytest
from ansiblelint.rules import RulesCollection
from ansiblelint.runner import Runner
LAYOUT_IMPORTS: Dict[str, str] = {
"main.yml": textwrap.dedent(
""... | StarcoderdataPython |
8108975 | <reponame>SuviVappula/tilavarauspalvelu-core<gh_stars>0
# Generated by Django 3.1.13 on 2021-10-11 07:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('permissions', '0010_unit_permissions'),
]
operations = [
migrations.AddField(
... | StarcoderdataPython |
6515920 | import os.path
import sys
import math
infile = sys.argv[1]
platform = sys.argv[2]
outfile = sys.argv[3]
trackKey = ""
def get_inputs(infile):
if os.path.isfile(infile):
return [infile]
return [os.path.join(infile, x) for x in os.listdir(infile)]
delayMemory = {}
def main():
glob... | StarcoderdataPython |
9633358 | <gh_stars>0
""" Advent of code 2017 day 3/1 """
import unittest
from code import solution, start_point, count_y, side_pos
class MyTest(unittest.TestCase):
"""Unist tests for actual day"""
def test_start(self):
""" Test start point """
self.assertEqual(start_point(52), (50, 5))
self.ass... | StarcoderdataPython |
1746516 | <filename>tests/test_api.py<gh_stars>10-100
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `mlbench_core.api` package."""
import datetime
import pytest
from mlbench_core.api import ApiClient
@pytest.fixture
def kubernetes_api_client_node_port(mocker):
mock_client = mocker.patch("kubernetes.client.... | StarcoderdataPython |
9737516 | <filename>psana/psana/pyalgos/generic/NDArrGenerators.py<gh_stars>0
####!/usr/bin/env python
#------------------------------
"""
:py:class:`NDArrGenerators` wrapping methods for numpy random array generators
==============================================================================
Usage::
import psana.pyalgo... | StarcoderdataPython |
1926401 | <reponame>dreamergz/gltf-to-3d-tiles
from .gltf_to_tileset import gltf_to_tileset
| StarcoderdataPython |
6552359 | from . import FaceDetector
from . import DataProvider
from . import ImageProvider
| StarcoderdataPython |
1860471 | <reponame>antho214/RayTracing
from .matrix import *
from .ray import *
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as mpath
import matplotlib.transforms as transforms
class MatrixGroup(Matrix):
"""MatrixGroup: A group of Matrix(), allowing
the combination of sev... | StarcoderdataPython |
11210625 | # Importing modules
import argparse
import atexit
import happybase
import json
import logging
from kafka import KafkaConsumer
# Configuring logger
logger_format = '%(asctime)s - %(message)s'
logging.basicConfig(format = logger_format)
logger = logging.getLogger('data-storage-writer')
logger.setLevel(logging.DEBUG)
#... | StarcoderdataPython |
3357378 | from pathlib import Path
from argparse import Namespace
import numpy as np
import torch
from torch.utils.data import DataLoader
import mediapipe as mp
from model.estimator_2d import Estimator2D
from data.video_dataset import VideoDataset
from data.skeleton_helper import mediapipe2openpose, mediapipe2coco
from data.d... | StarcoderdataPython |
6623944 | from __future__ import unicode_literals
__version__ = "6.27.18"
| StarcoderdataPython |
11347369 | ## https://medium.com/swlh/real-time-object-detection-deployment-using-tensorflow-keras-and-aws-ec2-instance-1c1937c001d9
import sys, os
import io
from fastapi import FastAPI, UploadFile, File
from starlette.requests import Request
from pydantic import BaseModel
import cv2
import cvlib as cv
from cvlib.object_detec... | StarcoderdataPython |
6557852 | <filename>pikuli/uia/control_wrappers/list.py<gh_stars>0
# -*- coding: utf-8 -*-
from .uia_control import UIAControl
class List(UIAControl):
''' Некий список из ListItem'ов. '''
CONTROL_TYPE = 'List'
def list_items(self):
return self.find_all(ControlType='ListItem', exact_level=1)
| StarcoderdataPython |
6471526 | """
SocksProxy implementation.
"""
# TODO implement SocksProxy
| StarcoderdataPython |
3243108 | """Generates capacity diagrams for the bottleneck"""
import csv
from matplotlib import pyplot as plt
from matplotlib import rc
import numpy as np
import os
rc('text', usetex=True)
font = {'weight': 'bold',
'size': 18}
rc('font', **font)
inflows = []
outflows = []
path = os.path.dirname(os.path.abspath(__file... | StarcoderdataPython |
6592075 | <gh_stars>0
from .main import scrape
__all__ = ["scrape"]
| StarcoderdataPython |
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