id stringlengths 1 7 | text stringlengths 6 1.03M | dataset_id stringclasses 1
value |
|---|---|---|
28290 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-17 13:59
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Creat... | StarcoderdataPython |
143998 | from typing import List, Set, Dict
import json
import pytumblr
from api_tumblr.pytumblr_wrapper import RateLimitClient
API_KEYS_TYPE = List[str]
class BotSpecificConstants:
"""Values specific to my development environment and/or the social context of my bot, e.g. specific posts IDs where I need apply some overr... | StarcoderdataPython |
1788201 | pip install plotly_express
#pip install category_encoders
import calendar
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
pd.options.display.max_columns = None
april20 = pd.read_csv('assets/2020_04.csv')
march20 = pd.read_csv('assets/2... | StarcoderdataPython |
199704 | import functools
import tensorflow as tf
from gpflow import default_float
from gpflow.utilities import to_default_float
from gpflow.utilities.ops import square_distance, difference_matrix
def cached(variable):
def cache(func):
func = tf.function(func, experimental_compile=True, experimental_relax_shapes=T... | StarcoderdataPython |
3258198 | # coding: utf-8
'''
This script reads data from Scopus xlsx files to process and laod in MongoDB.
'''
import logging
import pyexcel
import models
import keycorrection
from accent_remover import *
logging.basicConfig(filename='logs/scopus_loader.info.txt', level=logging.INFO)
logger = logging.getLogger(__name__)
def... | StarcoderdataPython |
3321712 | <reponame>claudiocassiano/ClaudioParticular
print("Bem vindos ao nosso exercício!!!!\n")
n1 = float (input("Digite a primeira nota: "))
n2 = float (input("digite a segunda nota: "))
soma = n1 + n2
if (soma <10) :
print(f"O valor da soma que é {soma} é menor que 10.")
elif (soma ==10) :
print(f"O valor da soma... | StarcoderdataPython |
1795271 | from PyQt5.QtCore import QObject
import socket
import time
import struct
import base64
import subprocess
import logging
from Module.Packages import ClassBroadcastFlag
class ClassBroadcast(QObject):
parent = None
current_ip = None
socket_ip = None
socket_port = None
socket_buffer_size = None
so... | StarcoderdataPython |
3283351 | # Добавить один билет на утилизацию по игре бинго 75 с помощью экранной клавиатуры
def test_add_one_barcode_bingo_75_current_draw_keyboard(app, fixture_barcode_bingo75):
app.utiliz.open_page_utilization()
app.utiliz.click_bingo_75()
get_value = app.utiliz.get_input_value()
app.utiliz.modal_draw_ok()
... | StarcoderdataPython |
186020 | # The following templates are markdowns
overview = """
## Context
Manufacturing process feature selection and categorization
## Content
Abstract: Data from a semi-conductor manufacturing process
Data Set Characteristics: Multivariate
Number of Instances: 1567
Area: Computer
Attribute Characteristic... | StarcoderdataPython |
1638744 | from redis import Redis, RedisError
# Don't know what much to do here
redis = Redis(host='redis', db=0)
| StarcoderdataPython |
133790 | <filename>equilibrium_points/statistics_brief.py
import os
import warnings
import numpy as np
import random as rand
import matplotlib.pyplot as plt
import dynalysis.basics as bcs
import dynalysis.classes as clss
from itertools import combinations
from scipy.stats import pearsonr
from sklearn.cluster import KMeans
from ... | StarcoderdataPython |
1600980 | from django.conf import settings
from django.contrib.contenttypes.fields import GenericRelation
from django.db import models
from replies.models import Reply
class PublicManager(models.Manager):
def get_queryset(self):
return super(PublicManager, self).get_queryset().filter(hidden=False).order_by('-creat... | StarcoderdataPython |
3310957 | <gh_stars>0
def metade(p = 0, form=False):
p /= 2
return p if form is False else moeda(p)
def dobro(p = 0, form=False):
p *= 2
return p if form is False else moeda(p)
def aumentar(p = 0, quant = 0, form=False):
percent = p + (p*quant / 100)
return percent if form is False else moeda(percen... | StarcoderdataPython |
52559 | import requests
lis = [
{'http': '172.16.17.32:8888'},
{'http': '192.168.3.11:3129'},
{'http': '172.16.58.3:8181'},
{'http': '172.16.31.10:8010'},
{'http': '172.16.31.10:80'},
{'http': '192.168.3.11:31773'},
]
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) Ap... | StarcoderdataPython |
1725917 | <reponame>DrZlo77/Python_Lesson3<gh_stars>0
# Получаем текст истории из файла 'Text_story'
file = open('Text_story','r', encoding= 'utf-8')
text_story = file.read()
#==================================================================================
# 1) методами строк очистить текст от знаков препинания;
#Удаляем к... | StarcoderdataPython |
3357148 | <filename>rest_server.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : <NAME> (<EMAIL>)
import os
import uvicorn
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="args of rest service")
parser.add_argument("--host", default='0.0.0.0')
parser.add_argumen... | StarcoderdataPython |
1677640 | """Utils to make train/test splits"""
import random
flatten = lambda l: [item for sublist in l for item in sublist]
def _train_test_keys_split(
grouped_keys, n_train, if_insufficient_data='only_train'
):
groups = list(grouped_keys)
if n_train > len(groups):
if if_insufficient_data == 'only_train... | StarcoderdataPython |
1789858 | <filename>GPflow/testing/test_config.py<gh_stars>10-100
import unittest
import os
import tensorflow as tf
import gpflow
from testing.gpflow_testcase import GPflowTestCase
class TestConfigParsing(GPflowTestCase):
def setUp(self):
directory = os.path.dirname(os.path.realpath(__file__))
f = os.path.j... | StarcoderdataPython |
1665074 | from unittest import TestCase
import datetime
from hamcrest import assert_that, is_, contains
from backdrop.core.timeseries import timeseries, HOUR, DAY, WEEK, MONTH, QUARTER, YEAR
from tests.support.test_helpers import d, d_tz
class TestTimeseries(TestCase):
def test_returns_a_full_timeseries(self):
ts =... | StarcoderdataPython |
48 | <filename>garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py
"""GaussianMLPRegressorModel."""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
class GaussianMLPRegressorModel(Gaussia... | StarcoderdataPython |
1736217 | """
I/O for FLAC3D format.
"""
import logging
import struct
import time
import numpy
from ..__about__ import __version__ as version
from .._common import _pick_first_int_data
from .._exceptions import ReadError, WriteError
from .._files import open_file
from .._helpers import register
from .._mesh import Mesh
meshio... | StarcoderdataPython |
4813394 | # Generated by Django 2.0.8 on 2018-10-14 15:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('feedbacks', '0012_auto_20181013_1230'),
]
operations = [
migrations.CreateModel(
name='SurveyCover',
fields=[
... | StarcoderdataPython |
4810980 | <reponame>chenzhengda/tensorflow
import tensorflow as tf
from tensorflow.python import ipu
# Configure the IPU device.
config = ipu.config.IPUConfig()
config.auto_select_ipus = 2
config.configure_ipu_system()
# Create a dataset for the model.
def create_dataset():
mnist = tf.keras.datasets.mnist
(x_train, y_tra... | StarcoderdataPython |
1735478 | <gh_stars>0
"""
Copyright 2016 University of Auckland
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 |
3276765 | #!/usr/bin/env python
'''
Author: <NAME> @ RIKEN
Copyright (c) 2020 RIKEN
All Rights Reserved
See file LICENSE for details.
'''
import os,sys,glob
def init(args, version):
# pythonpath
global base
base=os.path.abspath(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(0, os.path.join(base... | StarcoderdataPython |
76161 | """
n = 4
1
2 3
4 5 6
7 8 9 10
11 12 13 14 15
count: i + 1
f(i, j) = i (i + 1) / 2 + 1 + j
1 + 2 + 3 + 4 + ... + n = n (n + 1) / 2
"""
n = int(input())
# k = 1
# for i in range(n):
# for _ in range(i + 1):
# print(k, end=' ')
# k += 1
# print()
"""
Time Complexity: O(n^2)
Space Complexity: ... | StarcoderdataPython |
116069 | import time
import multiprocessing
class SubprocessFunctionCaller(object):
class CliFunction(object):
def __init__(self, s2c, c2s, lock):
self.s2c = s2c
self.c2s = c2s
self.lock = lock
def __call__(self, *args, **kwargs):
self.lock.acquire()
... | StarcoderdataPython |
112514 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
This script just show the basic workflow to compute TF-IDF similarity matrix with Gensim
OUTPUT :
clemsos@miner $ python gensim_workflow.py
How to use Gensim to compute TF-IDF similarity step by step
----------
Let's start with a raw corpus :<type 'list'>
STEP 1 : Inde... | StarcoderdataPython |
3356520 | import numpy as np
import random
def supervised_model_cv_fit_predict(X_train_df, y_train, X_test_df, model, runs=5):
y_preds = []
for i in range(runs):
random.seed(i)
model.fit(X_train_df, y_train)
y_pred = model.predict(X_test_df)
y_preds.append(y_pred)
return y_preds
d... | StarcoderdataPython |
4813757 | """Application base, containing global templates."""
default_app_config = 'pontoon.base.apps.BaseConfig'
| StarcoderdataPython |
1713528 | import numpy as np
class SistemaLinear:
def __init__(self, matriz = None , vetor_constante = None, dimensao = None, tipo = 'C'):
self.matriz = matriz #Recebe a matriz dos coeficientes
self.vetor_constante = vetor_constante # Recebe o vetor de constantates, tambem conhecido como vetor b
... | StarcoderdataPython |
175777 | import os
from java.awt import Color, GridLayout
from javax.swing import JPanel, JComboBox, JLabel, JFrame, JScrollPane, JColorChooser, JButton, JSeparator, SwingConstants, SpinnerNumberModel, JSpinner, BorderFactory, JCheckBox
from net.miginfocom.swing import MigLayout
from ij import IJ, WindowManager, ImagePlus, Ima... | StarcoderdataPython |
3231302 | # TestSwiftRegex.py
#
# This source file is part of the Swift.org open source project
#
# Copyright (c) 2014 - 2016 Apple Inc. and the Swift project authors
# Licensed under Apache License v2.0 with Runtime Library Exception
#
# See https://swift.org/LICENSE.txt for license information
# See https://swift.org/CONTRIBUT... | StarcoderdataPython |
137967 | <reponame>arthurtibame/cvat<filename>serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/model_handler.py
# Copyright (C) 2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
import os
from model_loader import ModelLoader
class ModelHandler:
def __init__(self, labels):
base_dir = os.env... | StarcoderdataPython |
3387563 | <reponame>defianceblack/PyPattyrn<gh_stars>1000+
from abc import ABCMeta, abstractmethod
from unittest import TestCase
from pypattyrn.structural.composite import Composite
class CompositeTestCase(TestCase):
"""
Unit testing class for the Composite class.
"""
def setUp(self):
"""
Initia... | StarcoderdataPython |
21836 | <gh_stars>0
from django.conf import settings
from django.urls.conf import include, path
from rest_framework.routers import DefaultRouter, SimpleRouter
if settings.DEBUG:
router = DefaultRouter()
else:
router = SimpleRouter()
app_name = "api"
urlpatterns = [
path("", include("summers_api.users.api.urls")),... | StarcoderdataPython |
3348188 | <reponame>mmmmlz/VQA_tencent
"""Test Demo for Quality Assessment of In-the-Wild Videos, ACM MM 2019"""
#
# Author: <NAME>
# Email: <EMAIL> AT <EMAIL> DOT edu DOT cn
# Date: 2018/3/27
#
import torch
from torchvision import transforms
import skvideo
#skvideo.setFFmpegPath(r'D:\apps\ffmpeg-N-102166-g1ab74bc193-win64-gpl\... | StarcoderdataPython |
1787855 | <filename>qcelemental/models/common_models.py
from enum import Enum
from typing import Any
import numpy as np
from pydantic import BaseModel, Extra
ndarray_encoder = {np.ndarray: lambda v: v.flatten().tolist()}
class Provenance(BaseModel):
creator: str
version: str = None
routine: str = None
class ... | StarcoderdataPython |
3306135 | import socket
import select
import struct
from threading import Thread
import time
import rsparse
import doctest
import base64
def make_sensor_list(lis):
"""
>>> make_sensor_list(['a', 1, 'b', 2])
[('a', 1), ('b', 2)]
"""
list = []
for i in range(len(lis)/2):
list.append((lis[i*2], lis[... | StarcoderdataPython |
92084 | <reponame>grantps/superhelp
from textwrap import dedent
from tests import check_as_expected
ROOT = 'superhelp.helpers.packing_help.'
def test_misc():
test_conf = [
(
dedent("""\
pet = 'cat'
"""),
{
ROOT + 'unpacking': 0,
ROOT... | StarcoderdataPython |
1751533 | import os, re
def tex_escape(text):
"""Return text with problematic escape sequences parsed for Latex use.
Note: This function was copied from the following StackOverflow answer,
<https://stackoverflow.com/a/25875504/10134974>
Parameters
----------
text : str
a plain text message... | StarcoderdataPython |
1793855 | # Apply STG on XOR dataset
from stg import STG
import numpy as np
import scipy.stats # for creating a simple dataset
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
def generate_XOR_labels(X):
y = np.exp(X[:,0]*X[:,1])
prob_1 = ... | StarcoderdataPython |
3214215 | a = 'Hello Python'
print(a)
#length
print(len(a))
#index - slice string
print(a[0])
print(a[1])
print(a[2:5])
#repeat
print((a+'\n')*2) | StarcoderdataPython |
3385731 | from flask import Flask,request,Response,jsonify, make_response
from flask_cors import CORS, cross_origin
from recognizer import Recognizer;
import cv2
import base64
import numpy as np
app = Flask(__name__)
@app.route('/')
def application():
return "<center><h1>You are Hacked!!</h1></center>"
@app.route('/reco... | StarcoderdataPython |
1668253 | #
# General-purpose Photovoltaic Device Model - a drift diffusion base/Shockley-Read-Hall
# model for 1st, 2nd and 3rd generation solar cells.
# Copyright (C) 2008-2022 <NAME> r.c.i.mackenzie at googlemail.com
#
# https://www.gpvdm.com
#
# This program is free software; you can redistribute it and/or m... | StarcoderdataPython |
1685835 | import argparse
import os
import re
class ShowUsageException(Exception):
pass
def dir_path(s):
if os.path.isdir(s):
return s
else:
raise ShowUsageException(f'"{s}" is not a directory')
def origin_directory_pair(s):
try:
origin, path = s.split(':')
except ValueError:
... | StarcoderdataPython |
11772 | # pylint: disable=missing-module-docstring
#
# Copyright (C) 2020 by UsergeTeam@Github, < https://github.com/UsergeTeam >.
#
# This file is part of < https://github.com/UsergeTeam/Userge > project,
# and is released under the "GNU v3.0 License Agreement".
# Please see < https://github.com/uaudith/Userge/blob/master/LIC... | StarcoderdataPython |
3314659 | """
@Author : Ailitonia
@Date : 2021/08/15 1:19
@FileName : __init__.py.py
@Project : nonebot2_miya
@Description :
@GitHub : https://github.com/Ailitonia
@Software : PyCharm
"""
from datetime import datetime
from nonebot import on_command, logger
from nonebot.plugin.e... | StarcoderdataPython |
124719 | import math
try:
from ulab import scipy, numpy as np
except ImportError:
import scipy
import numpy as np
A = np.array([[3, 0, 2, 6], [2, 1, 0, 1], [1, 0, 1, 4], [1, 2, 1, 8]])
b = np.array([4, 2, 4, 2])
# forward substitution
result = scipy.linalg.solve_triangular(A, b, lower=True)
ref_result = np.array(... | StarcoderdataPython |
4837301 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'symmGui.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.... | StarcoderdataPython |
1696392 | <reponame>ryosuke0825/atcoder_python
switch, light = map(int, input().split())
K = []
for _ in range(light):
k = list(map(int, input().split()))
K.append(k)
P = list(map(int, input().split()))
ans = 0
# bit全探索で全パターンをチェックする
for i in range(2**switch):
# 各電球につながっているスイッチが何個ONか
switch_on_list = [0]*light
... | StarcoderdataPython |
3331474 | # converts yaml configuration file to json file
# usage: python <yaml_input_filename> <json_output_filename>
# called by build_resources.sh script
import json
import sys
import yaml
from yaml_tools import Loader
yaml_file = sys.argv[1]
json_file = sys.argv[2]
Loader.add_constructor('!include', Loader.include)
with... | StarcoderdataPython |
3253084 | from .controller import Controller
from .view import View
from .module import Module
from abc import ABC
class Options(ABC):
Controller = Controller
View = View
Module = Module
| StarcoderdataPython |
1617796 | <reponame>collaborative-robotics/ABT
#!/usr/bin/python
#
#
# Revised to match fig BT-01164_Huge.png
# from BT-Hmm proposal May 18
import os as os
# b3 class modified by BH, local version in current dir
import b3 as b3 # behavior trees
import random as random
import math as m
import numpy as np
#impo... | StarcoderdataPython |
125291 | import random
import re
import math
import numpy as np
from src import constants
from src.multi_agent.elements.camera import Camera, CameraRepresentation
from src.my_utils import constant_class
from src.my_utils.my_math.bound import bound_angle_btw_minus_pi_plus_pi, bound
from src.my_utils.my_math.line import distance... | StarcoderdataPython |
1671687 | from keras.layers import Dense, LeakyReLU, Reshape, Conv2DTranspose, Conv2D, Dropout, Flatten
from keras.models import Sequential
from mido import MidiFile, MidiTrack, Message
from keras.optimizers import Adam
from tensorflow.python.ops.init_ops import RandomNormal
from scripts.DataLoader import DataLoader
from script... | StarcoderdataPython |
4803039 | <reponame>hotpxl/minpy-jit<filename>minpy/segment.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import ast
import types
import inspect
from collections import OrderedDict
from functools import wraps, reduce
from mxnet import nd
from . import core
_segment_cnt = 0
_ndarray_fun... | StarcoderdataPython |
149239 | <reponame>ma-compbio/MATCHA<gh_stars>10-100
import os
import time
import numpy as np
import networkx as nx
import random
from tqdm import tqdm
import torch
from concurrent.futures import as_completed, ProcessPoolExecutor
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
device_ids = [0, 1]
class ... | StarcoderdataPython |
54388 | <gh_stars>0
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 19 08:43:36 2020
@author: HP
"""
#dataFrameName[column_name].dtype
import statistics
import pandas as pd
import numpy as np
import random
#dataset=pd.read_csv(r"C:\Users\HP\Desktop\pp.csv")
def missing(input_file):
dataset=pd.read_cs... | StarcoderdataPython |
1798456 | <gh_stars>0
from yql import YQL
from yql import Filter
f1 = Filter('symbol', 'in', ['YHOO', 'GOOG', 'AAPL'])
f2 = Filter('symbol', 'eq', 'YHOO')
f3 = Filter('startDate', 'eq', '2014-02-11')
f4 = Filter('endDate', 'eq', '2014-02-18')
f1_expected = 'symbol IN ("YHOO", "GOOG", "AAPL")'
f2_expected = 'symbol = "YHOO"'
f3... | StarcoderdataPython |
145886 | # SdsViewProperty.py
#
# Copyright (C) 2018 OSIsoft, LLC. All rights reserved.
#
# THIS SOFTWARE CONTAINS CONFIDENTIAL INFORMATION AND TRADE SECRETS OF
# OSIsoft, LLC. USE, DISCLOSURE, OR REPRODUCTION IS PROHIBITED WITHOUT
# THE PRIOR EXPRESS WRITTEN PERMISSION OF OSIsoft, LLC.
#
# RESTRICTED RIGHTS LEGEND
# Use, dupl... | StarcoderdataPython |
18833 | <filename>src/fireo/utils/utils.py<gh_stars>0
import re
from google.cloud import firestore
def collection_name(model):
return re.sub('(?!^)([A-Z]+)', r'_\1', model).lower()
def ref_path(key):
return key.split('/')
def collection_path(key):
return '/'.join(key.split('/')[:-1])
def get_parent(key):
... | StarcoderdataPython |
1793255 | # Script written by <NAME>
# Last Update: November 23, 2020
# License: MIT
from pathlib import Path
import logging
import os
import subprocess
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
import requests
log = logging.getLogger()
esp32 = "http://board_ip"
# Ori... | StarcoderdataPython |
1683620 | """
3D plotting
============
Demo 3D plotting with matplotlib and style the figure.
"""
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
ax = plt.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contourf(X, Y, Z)
ax.clabel(cset, fontsize=9, inline=1)
plt.xticks(())
plt.ytic... | StarcoderdataPython |
1628646 | import pymysql
from threading import Thread
from sys import exit
class Database(object):
def __init__(self, user, password, database):
try:
self.db = pymysql.connect (
host="127.0.0.1",
port=3306,
user=user,
... | StarcoderdataPython |
59714 | <gh_stars>0
import xadmin
from .models import Course, UserAsk, UserCourse, UserFavorite, UserMessage
class CourseAdmin(object):
pass
class UserAskAdmin(object):
pass
class UserCourseAdmin(object):
pass
class UserFavoriteAdmin(object):
pass
class UserMessageAdmin(object):
pass
xadmin.site... | StarcoderdataPython |
1729905 | <reponame>imasnyper/ltd-priority-list
import random
from list.models import Job
def create_jobs(num_jobs, machine, customers):
for x, i in enumerate(range(num_jobs)):
rand_job_number = random.randrange(1000, 9999)
rand_customer = random.choice(customers)
rand_tools = random.choice([True, ... | StarcoderdataPython |
1603240 | <gh_stars>0
import sys
sys.path.append("..")
from preprocesspack import Attribute,DataSet,graphics,utils
def test_all():
##ATTRIBUTE
##Numeric Attribute
attr=Attribute.Attribute(name="age",vector=[34,16,78,90,12])
attrContinuous=Attribute.Attribute(name="age",vector=[1.2,3.4,6.7,8.9,4.7])
##Ca... | StarcoderdataPython |
1642558 | from django.apps import AppConfig
class ReversionDynamoDBBackend(AppConfig):
name = 'reversion.backends.dynamodb'
label = 'reversion_backends_dynamodb'
| StarcoderdataPython |
86248 | import os
import xml.etree.ElementTree as et
import argparse
import pkgutil
import shutil
from subprocess import call
import time
from common import get_host_ip, get_unoccupied_port, is_port_in_use, get_pid_by_name
from client import Client
import re
from colorama import init, Fore, Back, Style
from logger import setup... | StarcoderdataPython |
1638180 | <reponame>mcjczapiewski/work<filename>check_photo_dpi.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
# import bibliotek
from PIL import Image
import os
import datetime
import codecs
from natsort import natsort_keygen
nkey = natsort_keygen()
# root jesli chcemy wrzucac plik pythona do
# foleru, w ... | StarcoderdataPython |
1702057 | <reponame>knp19i/story-prompt
import sys
import lib
from collections import defaultdict
# Get number of invalid prompts
def get_num_errors():
try:
errors_file = open(lib.ERRORS_FILE, 'r')
error_lines = errors_file.readlines()
errors_file.close()
return len(error_lines)
except F... | StarcoderdataPython |
3298092 | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import matplotlib.pyplot as plt
import os
import numpy as np
# mnist = input_data.read_data_sets("MNIST_data", one_hot=True)
# print "basic information of mnist dataset"
# print "mnist training data size: ", mnist.train.num_examples
# ... | StarcoderdataPython |
3315754 | data = input("STDIN: ")
print("STDOUT: " + data)
raise ValueError("This is an error")
| StarcoderdataPython |
3288031 | # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | StarcoderdataPython |
4807180 | import sys
import math
# Auto-generated code below aims at helping you parse
# the standard input according to the problem statement.
experiments = []
result = 0
last_expr = 0
for i in range(int(input())):
j, d = [int(j) for j in input().split()]
# We will create a matrix of all the experiments
experiment... | StarcoderdataPython |
1631546 | <filename>tests/testutils.py
# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2019 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Files download/upload REST API similar to S3 for Inve... | StarcoderdataPython |
3345965 | from datetime import datetime
from decimal import Decimal
from unittest import mock
import pytest
from django.conf import settings
from django_countries.fields import Country
from django_scopes import scopes_disabled
from pytz import UTC
from pretix.base.models import (
Event, InvoiceAddress, Order, OrderPosition... | StarcoderdataPython |
117203 | <filename>my_code.py
from py_extras import change_stmt
def make_change(cost, amount_given):
twenties = 0
tens = 0
fives = 0
ones = 0
quarters = 0
dimes = 0
nickels = 0
pennies = 0
# Making change in pennies (to avoid float math)
change = round(((amount_given - cost) *... | StarcoderdataPython |
4823145 | # -*- coding: utf-8 -*-
"""
Created on 19-4-24 下午9:22
IDE PyCharm
@author: <NAME>
"""
from torch.utils.data import Dataset
import os
import h5py as hf
import torch
from config import config
import numpy as np
class macaque_h5(Dataset):
def __init__(self, data_path, list_path, mode):
self.data_path = dat... | StarcoderdataPython |
3262354 | <filename>deploy/python/downloader/SAP_Scenarios.py
#!/usr/bin/env python3
#
# SMP Downloader
#
# License: GNU General Public License (GPL)
# (c) 2019 Microsoft Corp.
#
class Package(object):
selector_newest = 'max(range(len(results)), key=lambda index: results[index]["ReleaseDate"... | StarcoderdataPython |
3306692 | from . import _ST
from . import pyFunctions as __pf
from . import __plotPatterns__ as __pp
_ST.SpikingTempotron.getVoltageTrace = __pf.__SpikingTempotron_getVoltageTrace
_ST.SpikingTempotron.getVoltageTraceFromInputLayer = __pf.__SpikingTempotron_getVoltageTrace_1
_ST.Tempotron.w = __pf.__tempotron__w
_ST.SpikeTrain.p... | StarcoderdataPython |
1781448 | from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('stages', '0014_added_supervisionbill_model'),
]
operations = [
migrations.AddField(
model_name='student',
name='supervision_attest_received',
field=model... | StarcoderdataPython |
3277241 | """
Pre-train classifiers
Author: <NAME>
Date: 04/19/2016
"""
import os
import re
import Porter_stemming as ps
import math
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.externals import joblib
# Helper function
def tokenize_... | StarcoderdataPython |
1768288 | <gh_stars>100-1000
'''
Helper functions for writing out basis set references in various formats
'''
from .. import api
_lib_refs = ["pritchard2019a", "feller1996a", "schuchardt2007a"]
_lib_refs_desc = 'If you downloaded data from the basis set\nexchange or used the basis set exchange python library, please cite:\n'
... | StarcoderdataPython |
158262 | from flask import request, jsonify
from . import api
from app.models import Comment, MessageBoard, PostView, History, Post
import datetime
from sqlalchemy import func
from collections import OrderedDict
def get_certain_day_sum_visit_count(visit_date):
certain_day_visit_res = PostView.query.filter_by(
visi... | StarcoderdataPython |
1738457 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import time
import joblib
import tqdm
import glob
import imageio
import copy
import numpy as np
from typing im... | StarcoderdataPython |
3313411 | <gh_stars>0
"""A show queue which can will be played sequentially."""
from collections import deque
from typing import Tuple
from mpf.assets.show import Show, RunningShow, ShowConfig
from mpf.core.system_wide_device import SystemWideDevice
class ShowQueue(SystemWideDevice):
"""Represents a show queue."""
c... | StarcoderdataPython |
1626052 | <reponame>overflowin-st-hackers/YouGotAppoint
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import status
from .models import Doctor
from .serializers import DoctorSerializer, UserSerializer, CurrentUserSerializer, AppointmentSerializer
from django.short... | StarcoderdataPython |
82152 | <filename>verticapy/learn/pipeline.py
# (c) Copyright [2018-2022] Micro Focus or one of its affiliates.
# 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/LICENS... | StarcoderdataPython |
3365877 | '''OpenGL extension OES.fbo_render_mipmap
This module customises the behaviour of the
OpenGL.raw.GLES1.OES.fbo_render_mipmap to provide a more
Python-friendly API
Overview (from the spec)
OES_framebuffer_object allows rendering to the base level of a
texture only. This extension removes this limitation by
a... | StarcoderdataPython |
3328243 | import json
class ActorInfo:
def __init__(self, name, id, html):
self.name = name
self.id = id
self.titles = None
self.html = html
def set_titles(self, titles):
self.titles = {title.id: title for title in titles}
def add_titles(self, titles):
if self.titles... | StarcoderdataPython |
3397874 | # Generated by Django 2.2.19 on 2021-06-07 20:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("archive", "0013_revise_protected_field"),
]
operations = [
migrations.AlterField(
model_name="digitizedwork",
name=... | StarcoderdataPython |
1763582 | from datetime import datetime
import tweepy
import logging
import requests
from api import create_api
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger()
def get_random_quote(quotes_api_url, quotes_api_key):
""" Get a random quote from quotes api. """
headers = {"Authorization": "Bearer {}"... | StarcoderdataPython |
1711970 | <reponame>uva-slpl/embedalign
import numpy as np
import sys
from collections import defaultdict
data = defaultdict(list)
metric = None
for line in sys.stdin:
if line:
parts = line.split(' ')
for part in parts:
k, v = part.split('=')
if k == 'metric':
metric ... | StarcoderdataPython |
3367700 | <gh_stars>0
from flask import Flask
from config import Config
import os
from flask_mail import Mail, Message
app = Flask(__name__,
template_folder = '../template',
static_folder = '../static')
mail = Mail(app)
app.config.from_object(Config)
app.config['MAIL_SERVER'] = 'smtp.gmail.com'
app.config['MAIL_POR... | StarcoderdataPython |
1690122 | <reponame>zipated/src
#!/usr/bin/python
# Copyright 2016 The ANGLE Project Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# gen_format_map.py:
# Code generation for GL format map. The format map matches between
# {format,type} and ... | StarcoderdataPython |
3362254 |
from .linear import Linear
from .rnn import LSTM, GRU, LSTMCell, RNNCell, GRUCell
__all__ = [
'Linear',
'LSTM',
'GRU',
'LSTMCell',
'RNNCell',
'GRUCell',
]
| StarcoderdataPython |
120336 | import csv
import requests
from collections import Counter
from pprint import pprint as pp
CSV_URL = 'https://bit.ly/2HiD2i8'
def get_csv():
"""Use requests to download the csv and return the
decoded content"""
resp = requests.get(CSV_URL)
resp.raise_for_status()
return resp.tex... | StarcoderdataPython |
1795306 | <filename>Backup/backup_190324/utils.py<gh_stars>1-10
import torch
import torch.nn as nn
import torch.nn.functional as F
import random
import os
import wave as we
import numpy as np
import mir_eval
import csv
import re
def melody_eval(ref, est):
ref_time = ref[:,0]
ref_freq = ref[:,1]
est_time = est[:,0]
... | StarcoderdataPython |
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