id stringlengths 1 7 | text stringlengths 6 1.03M | dataset_id stringclasses 1
value |
|---|---|---|
1750637 | import torch
import torch.nn as nn
import string
import os
import time
import random
from torch.functional import Tensor
from utils import Utils
from recurrent_neural_network import RecurrentNeuralNetwork
from typing import List, Tuple, Any
class Program():
def __init__(self, learning_rate: float = 0.005, iterations... | StarcoderdataPython |
161610 | #!/usr/bin/env python3
# 2 srop version
from pwn import *
binary = context.binary = ELF('./some-really-ordinary-program')
binary.symbols['main'] = 0x401022
binary.symbols['midread'] = 0x401006
if args.REMOTE:
p = remote('challenge.nahamcon.com', 32629)
else:
p = process(binary.path)
syscall = next(binary.search(... | StarcoderdataPython |
122308 | <gh_stars>0
from Model.Layer import Layer
def create_model_vector_gru(output_length, output_features):
model = [
Layer(layer_type='GRU', size=2 * output_features, return_sequences=True),
Layer(layer_type='GRU', size=4 * output_features, return_sequences=False),
Layer(layer_type='Dro... | StarcoderdataPython |
189751 | <gh_stars>100-1000
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
# Create your models here.
# system parameters
class mn_DeviceType(models.Model):
type_name = models.CharField(max_length=30)
class mn_ServerGroup(models.Model):
group_name = models.CharField(max_l... | StarcoderdataPython |
4820046 | house = float(input('Insert the value of the house: R$'))
salary = float(input('Buyer salary: R$'))
years_to_pay = int(input('How many years it will pay: '))
months = years_to_pay*12 # Converting years to months
installments = house/months
print('To afford a house of R${:.2f} in {} years the\n installment'
'will ... | StarcoderdataPython |
68315 | from pyramid.view import view_config
from pyramid_oidc.interfaces import IOIDCUtility
from ..models import RefreshToken
@view_config(route_name='tokenstore_authorizations', renderer='json',
request_method='GET', permission='view', cors=True)
def authorizations(request):
res = []
user_id = reque... | StarcoderdataPython |
57492 | from tornado import ioloop
import time
import requests
import sys
import requests
import re
s = time.time()
maxRequestCount = 1000000000
i = 0
c = 0
# Takes destination ip as command line input
if len(sys.argv) > 1:
if re.match("^http", sys.argv[1]):
ip = sys.argv[1]
else:
ip = "http://" + sy... | StarcoderdataPython |
3391748 | from flask import flash, redirect, request, render_template, url_for
from flask_login import login_required, login_user, logout_user
from datetime import datetime
from . import auth
from .forms import LoginForm, RegistrationForm
from .. import db
from ..models import User
#global variables
company_name = {'name' : 'La... | StarcoderdataPython |
3238890 | from typing import Optional
from fastapi.encoders import jsonable_encoder
from dispatch.project import service as project_service
from .models import TagType, TagTypeCreate, TagTypeUpdate
def get(*, db_session, tag_type_id: int) -> Optional[TagType]:
"""
Gets a tag type by its id.
"""
return db_sessi... | StarcoderdataPython |
3381596 | <filename>tests/torch_tests/unit/test_torch_data_loader.py<gh_stars>10-100
import pytest
import numpy as np
from tests.torch_tests.unit import BaseUnitTest, TORCH_AVAILABLE, fp
class TestTorchDataLoader(BaseUnitTest):
def test_pass(self, fp):
from deeplite.profiler import Device
fp.expecting_common... | StarcoderdataPython |
96955 | import re
try:
from importlib.resources import read_text
except ImportError:
from importlib_resources import read_text
class Decompose:
def __init__(self):
self.entries = dict()
self.super_entries = dict()
for row in read_text('cjkradlib.data', 'cjk-decomp.txt').strip().split('\n... | StarcoderdataPython |
3338794 | """
Created on Tuesday 16 Feb 13:44:00 2021
The primary goal of this file is to demonstrate simple python program to classify triangles
@author: <NAME>
"""
from typing import Set
def classify_triangle(a, b, c):
"""
This function returns a string with the type of triangle from three integer values
corr... | StarcoderdataPython |
1795655 | from typing import List
from ConfigSpace import Configuration, ConfigurationSpace
def sample_configurations(configuration_space: ConfigurationSpace,
sample_size: int, historical_configs: List[Configuration], seed=1):
configuration_space.seed(seed)
result = []
sample_cnt = 0
i... | StarcoderdataPython |
1745068 | import os
import logging
log = logging.getLogger(__name__)
from hootingyard.config.directories import get_archive_root
from hootingyard.utils.generators import get_show_archives, extract_date, WEEKDAYS
def main(warn_wednesday=False):
archive_root: str = get_archive_root()
filenames = set()
for year, p... | StarcoderdataPython |
4821166 | import norsokm506_01 as ns
v_sg=9
v_sl=1
mass_g=234.5
mass_L=542.3
vol_g=14.8
vol_l=637
vis_l=1.4
vis_g=0.03
roughness=0.00005
dia=0.475
temp=64
press=37.6
bicarbonate=800
ionstength=56
print(temp)
kt=ns.Kt(temp)
print(kt)
v_sg=9
v_sl=1
mass_g=234.5
mass_l=542.3
vol_g=14.8
vol_l=637
vis_l=1.4
... | StarcoderdataPython |
59567 | # coding: utf-8
from __future__ import absolute_import
from flask import json
from six import BytesIO
from swagger_server.models.account_create_update import AccountCreateUpdate # noqa: E501
from swagger_server.models.account_definition import AccountDefinition # noqa: E501
from swagger_server.models.account_defin... | StarcoderdataPython |
79685 | <gh_stars>0
import unittest
from os import path
from random import choice
from ga4stpg.graph import UGraph, UWGraph
from ga4stpg.graph.algorithms import prim
from ga4stpg.graph.reader import ReaderORLibrary
from ga4stpg.graph.util import is_steiner_tree
from ga4stpg.tree.evaluation import EvaluateTreeGraph
fr... | StarcoderdataPython |
1738574 | from collections import Counter
def handleCommonExcludeWords(synList, excludeWords, mostCommonCount=66, maxCommonCount=10, addAlphaBeta=False, addHyphenGene=False, removeSyn=None, minSynCount=0):
synCounter = Counter()
for synonym in synList:
for syn in synonym:
synCounter[syn] += 1
... | StarcoderdataPython |
3395488 | import dtsa2 as dtsa2
import dtsa2.mcSimulate3 as mc3
def fullSimBulkStd(mat, det, e0, nTraj, outPath, dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False):
"""
fullSimBulkStd(mat, det, e0, nTraj, outPath, dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False)
Use mc3 simulation to simulate an uncoated standa... | StarcoderdataPython |
1624862 | import sys
import pickle
import glob
import subprocess
import os
import set_up
print('[Grepper for FUNCTION]')
if sys.argv[1]=='train':
in_dir = set_up.train_folder_path
elif sys.argv[1]=='test':
in_dir = set_up.test_folder_path
else:
print('Unknown option')
sys.exit()
out_dir = set... | StarcoderdataPython |
3389039 | <filename>Bert/examples/IMDB_classifier/train.py
# -*- coding: utf-8 -*-
#
# File: train.py
# Author: SmileTM
# Site: s-tm.cn
# Github: https://github.com/SmileTM
# Time: 07.06.2020
#
import tensorflow as tf
from Bert import tokenization
from data_process import get_dataset
from Bert import modeling
from Bert import op... | StarcoderdataPython |
3249414 | from . import embedding
from . import classifier
from . import encoder
from . import selector
from . import coocurrence
from . import selector2
| StarcoderdataPython |
4834912 | # The MIT License (MIT)
#
# Copyright (C) 2016 - <NAME> <<EMAIL>>
#
# 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... | StarcoderdataPython |
180167 | <gh_stars>0
from SudokuSolver import SudokuSolver
from ImageDigitReader import ImageDigitReader
class Main:
image = ImageDigitReader()
sudoku_board_img = image.get_sudoku_board()
sudoku_board = [
[4, 1, 7, 0, 0, 0, 5, 0, 0],
[5, 0, 0, 0, 6, 0, 4, 2, 0],
[0, 6, 2, 0, 0, 0, 0, 0, 0... | StarcoderdataPython |
1779643 | from django.db import models
from django.contrib.auth.models import User
def upload_to(instance, filename):
return '%s/%s/%s' % ('profile_photo', instance.user.username, filename)
class UserProfile(models.Model):
user = models.OneToOneField(User, related_name='user_profile', on_delete=models.CASCADE, verbose_name... | StarcoderdataPython |
95261 |
class DungeonTile:
def __init__(self, canvas_tile, is_obstacle):
self.canvas_tile = canvas_tile
self.is_obstacle = is_obstacle
| StarcoderdataPython |
25605 | import os.path as osp
from .reader.video_reader import VideoReader
class ReaderFactory():
video_exts = [".mp4", ".avi", ".mov", ".MOV", ".mkv"]
def create(target_input, target_fps):
if osp.isfile(target_input):
ext = osp.splitext(target_input)[1]
if ext in ReaderFactory.video_... | StarcoderdataPython |
3376665 | from __future__ import absolute_import
from datetime import timedelta
from celery.schedules import crontab
#BROKER_URL = "redis://10.1.9.9:6379"
BROKER_URL = "redis://127.0.0.1:6379"
#CELERY_RESULT_BACKEND = "redis://10.1.9.9:6379"
CELERY_RESULT_BACKEND = "redis://127.0.0.1:6379"
CELERY_ENALBE_UTC = True
CELERY_TIMEZO... | StarcoderdataPython |
1623492 | from guests.models import Guest
def run():
usernames = set()
duplicates_found = False
for guest in Guest.objects.all():
if not guest.username:
continue
if guest.username in usernames:
duplicates_found = True
print(f'Duplicate username found: {guest.usern... | StarcoderdataPython |
1632167 | """
Issue:
NOTE using Python 2.4, this results in an exe about 4Mb in size.
NOTE using Python 2.6, this results in an exe about 5.5Mb in size.
E:\Python24\python.exe p2_setup.py py2exe
c:\python24\python p2_setup.py py2exe
setup.py py2exe
Quick-N-Dirty create win32 binaries and zip file script.
Zero erro... | StarcoderdataPython |
113932 | <filename>fapm/__main__.py
import hashlib
import os
import sys
import jinja2
from . import cli
from . import db
from . import download
from . import query
from .constants import *
def md5(value):
return hashlib.md5(value.encode()).hexdigest()
def pluralize(count, singular, plural=None):
return f'{count:,}... | StarcoderdataPython |
1627621 | <filename>tests/conftest.py<gh_stars>1-10
import os
from pathlib import Path
import pytest
NOTEBOOK_EXT = '.ipynb'
ROOT_DIR = 'jupyter-notebooks'
# do not look for notebooks in .ipynb_checkpoints dir
SKIP_DIRECTORIES = ['.ipynb_checkpoints']
def pytest_addoption(parser):
parser.addoption("--path", action="store... | StarcoderdataPython |
35505 | import numpy as np
import pytest
from src.models.noise_transformation import average_true_var_real, average_true_var_imag, average_true_cov, \
average_true_noise_covariance, naive_noise_covariance
test_cases_real_variance = [
(2 - 3j, 0, 0, 0),
(0, 1, 1, np.exp(-2) * (2 * np.cosh(2) - np.cosh(1))),
(2... | StarcoderdataPython |
1769415 | from operator import gt, lt, eq
from math import prod
from aoc20211216a import *
OPS = {
0: lambda *a: sum(a),
1: lambda *a: prod(a),
2: lambda *a: min(a),
3: lambda *a: max(a),
5: gt,
6: lt,
7: eq,
}
def compute(ver, op, sub, length):
return (
ver,
op,
OPS[op]... | StarcoderdataPython |
1727348 | #!/usr/bin/python
from HAT import IAQ_DAC43608
from HAT import IAQ_Mux
from Sensors.IAQ_Sensor import SensorIdEnum
from third_party import Adafruit_ADS1x15
import time
class AnalogPortController:
adc = None
dac = None
mux = None
#########################################
# Store the port that ADC is... | StarcoderdataPython |
45097 | <gh_stars>10-100
def get_gene_ne(global_variables,gene_dictionary):
values_list = []
# gets the ordered samples
sample_list = global_variables["sample_list"]
for sample in sample_list:
values_list.append(gene_dictionary[sample])
return values_list
| StarcoderdataPython |
1746995 | <reponame>YunWGui/LeetCode
# !/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Created on Thu Sep 26 21:19:51 2019
@author: <NAME>
"""
"""
Title;
26. Remove Duplicates from Sorted Array
26. 删除排序数组的重复项
Address:
https://leetcode-cn.com/problems/remove-duplicates-from-sorted-array/
"""
# 方法一：
class Solution:
def ... | StarcoderdataPython |
156702 | import torch.utils.data as data
from torchvision import transforms
from PIL import Image
import os
import os.path
from .auto_augment import AutoAugment, ImageNetAutoAugment
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
def is_image_file(filename):
... | StarcoderdataPython |
1609637 | import glob
import os
__all__ = [os.path.basename(f)[:-3]
for f in glob.glob(os.path.dirname(__file__) + "/*.py")]
| StarcoderdataPython |
1669247 | <gh_stars>0
#!/usr/bin/env python
"""
Check rabbit for connections older than <time>
Usage:
rabbit-check-connections.py (-e host) [-h] [-d] [-p port] [-t time]
(-u username)
(-x password)
[--version]
Options:
-e <host> R... | StarcoderdataPython |
148191 | from flask import Flask, request
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
door = "closed"
passwords = set()
class PassWord(Resource):
def get(self):
global passwords
return {
"result": "OK",
"passwords": list(passwords)
}
... | StarcoderdataPython |
3269807 | """
A set of helper functions that have no other home.
"""
from math import degrees, radians, pi, sqrt, cos, sin
import numpy
def centerOfMass(positions, weights):
"""
Calculate the center of mass of a set of weighted positions.
Args:
positions: A list of (x,y,z) position tuples
weights: A list of pos... | StarcoderdataPython |
50253 | from problems.fizz_buzz import FizzBuzz
def test_fizz_buzz():
output = FizzBuzz.compute()
assert output == ['1', '2', 'fizz', '4', 'buzz', 'fizz', '7', '8', 'fizz', 'buzz', '11', 'fizz', '13', '14',
'fizzbuzz', '16', '17', 'fizz', '19', 'buzz', 'fizz', '22', '23', 'fizz', 'buzz', '26', ... | StarcoderdataPython |
3334762 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Get basic statistics describing the database
# Compare a structure to a database
from tqdm.autonotebook import tqdm
import logging
from pymatgen import Structure
from pymatgen.analysis.graphs import StructureGraph
from pymatgen.analysis.local_env import JmolNN
from .utils i... | StarcoderdataPython |
3276401 | <reponame>anondax/Discord-copy-bot
from model.GuildChannelModel import *
class TextChannelModel(GuildChannelModel):
def __init__(self):
GuildChannelModel.__init__(self);
self.nsfw = None;
self.topic = None;
self.slowmode_delay = None;
def fillFromChannel(self, channel):
... | StarcoderdataPython |
1651068 | <reponame>TheoKanning/advent-of-code<filename>2020/2.py
with open("inputs/2.txt") as f:
input = f.readlines()
total_valid = 0
for entry in input:
rule, password = entry.split(':')
bounds, letter = rule.split(' ')
lower_bound, upper_bound = bounds.split('-')
if int(lower_bound) <= password.count(l... | StarcoderdataPython |
3354243 | # Copyright 2014 OpenStack Foundation
# 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 required by applica... | StarcoderdataPython |
1611370 | import resnet2 as net
import numpy as np
import cv2
import scipy.io as sio
import os
from os import listdir
import random
def Average(inp):
a = inp/np.linalg.norm(inp, axis=1, keepdims=True)
a = np.sum(a, axis=0)
a = a/np.linalg.norm(a)
return a
path = r'O:\[FY2017]\MS-Challenges\code\evaluation_a... | StarcoderdataPython |
198375 | <filename>examples/flask/htdocs/main.py
"""
# Python Flask
# http://flask.pocoo.org/docs/1.0/quickstart/#quickstart
# Code from
# @see Rapid Flask [Video], PacktLib
# ---
# @see Learning Flask Framework
# @see ...
# run app server with "python routes.py"
# open browser at "localhost:5000"
# open browser at "localho... | StarcoderdataPython |
75601 | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import itertools
imp... | StarcoderdataPython |
4829356 | #
# Copyright (C) [2020] Futurewei Technologies, Inc.
#
# FORCE-RISCV is 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
#
# THIS SOFTWARE IS PR... | StarcoderdataPython |
67490 | <gh_stars>1-10
# next is to add accel and see the difference
# add stiffness too
import tensorflow as tf
import numpy as np
from scipy import signal, stats
from matplotlib import pyplot as plt
from all_functions import *
import pickle
from warnings import simplefilter
import matplotlib
matplotlib.rcParams['pdf.fontty... | StarcoderdataPython |
3214621 | <filename>client/commands/v2/language_server_protocol.py<gh_stars>0
# 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 asyncio
import dataclasses
import enum
from typing import List, Ite... | StarcoderdataPython |
78180 | # -*- coding: utf-8 -*-
"""
Created on Wed May 27 20:06:01 2015
@author: Thomas
"""
# Python standard library imports
import csv
import os
def main():
generated = []
for file in os.listdir("reformatted/"):
print 'getting data from.. ' + file
generate_total = []
generate_2000... | StarcoderdataPython |
153293 | <filename>research/nets/common.py
import sys
from collections import defaultdict
import numpy as np
from torch.utils.tensorboard import SummaryWriter
import matplotlib.pyplot as plt
import torch as torchvision
from torch.optim import Adam
from itertools import chain, count
import torch as th
from torch import distribu... | StarcoderdataPython |
3267676 | """
mapMotifValidation.py
This module runs map versus amino acid residues map motif library validation.
Copyright [2013] EMBL - European Bioinformatics Institute
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
th... | StarcoderdataPython |
3308231 | import tempfile
from dagger.dag import DAG
from dagger.input import FromNodeOutput, FromParam
from dagger.output import FromReturnValue
from dagger.runtime.local.invoke import StoreSerializedOutputsInPath, invoke
from dagger.task import Task
def test__invoke__without_parameters():
dag = DAG(
nodes=dict(
... | StarcoderdataPython |
1664552 | <reponame>CTPUG/pyntnclick
# speech.py
# Copyright Boomslang team, 2010 (see COPYING File)
# Speech playing and cache
import re
from .sound import get_sound
# cache of string -> sound object mappings
_SPEECH_CACHE = {}
# characters not to allow in filenames
_REPLACE_RE = re.compile(r"[^a-z0-9-]+")
class SpeechEr... | StarcoderdataPython |
1635569 | from . import app
from flask import make_response, request, render_template
from .models.route_service import RouteService
from .models.route_data import RouteData
manager = RouteService()
@app.route('/routes', methods=['GET'])
def all_routes():
response_payload = { "routes": manager.all_raw_routes() }
return... | StarcoderdataPython |
61570 | from typing import List, Set
from querio.db import data_accessor as da
from querio.ml import model
from querio.service.save_service import SaveService
from querio.ml.expression.cond import Cond
from querio.ml.expression.expression import Expression
from querio.queryobject import QueryObject
from querio.service.utils i... | StarcoderdataPython |
20350 | <gh_stars>0
#!/usr/bin/python
import sensor
import lcd
import csv
import time
import os
import datetime
import sys
import re
import circular_buffer
lcd.init()
last_time = datetime.datetime.now()
last_minute = last_time.minute
probe_minute_01 = circular_buffer.CircularBuffer(size=30)
probe_minute_15 = circular_buffe... | StarcoderdataPython |
3394278 | # -*- coding: utf-8 -*-
import os
import time
import argparse
import json
import copy
import yaml
import pandas as pd
from tqdm import tqdm
from sklearn.metrics import precision_recall_curve, roc_auc_score,\
average_precision_score
def create_parser():
# SET THE PARAMETERS
parser = argparse.ArgumentParser(... | StarcoderdataPython |
1639110 | from setuptools import setup
setup(
name="pipe_helper",
version="0.0.1",
description="Simple helper for common functionality",
author="<NAME>, LUMC",
author_email="<EMAIL>",
url="https://github.com/lumc-pgx/pipe-helper",
license="MIT",
platforms=['linux'],
packages=["pipe_helper"],
... | StarcoderdataPython |
6940 | <reponame>snake-biscuits/io_import_rbsp
# by MrSteyk & Dogecore
# TODO: extraction instructions & testing
import json
import os.path
from typing import List
import bpy
loaded_materials = {}
MATERIAL_LOAD_PATH = "" # put your path here
# normal has special logic
MATERIAL_INPUT_LINKING = {
"color": "Base Color"... | StarcoderdataPython |
3221212 | <gh_stars>0
from oarepo_model_builder.builders import process
from oarepo_model_builder.builders.python import PythonBuilder
from oarepo_model_builder.builders.utils import ensure_parent_modules
from oarepo_model_builder.stack import ModelBuilderStack
class PythonStructureBuilder(PythonBuilder):
TYPE = 'python_st... | StarcoderdataPython |
3293920 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class MainRo... | StarcoderdataPython |
1653120 | #!/usr/bin/env python
# coding: utf-8
import datetime
import nltk
from operator import add
from pprint import pprint
from random import random, uniform
import rospy
from std_msgs.msg import String
import os
import csv
#nltk.download('punkt')
object_ = ['chip', 'senbei', 'pringles', 'peanut', 'candy', 'chewing g... | StarcoderdataPython |
126893 | <filename>Exercises/iterations.py
"""while loops, also known as indefinite loops"""
# n = 5
# while n > 0:
# print(n)
# n = n - 1
# print('Blastoff')
# print(n)
# breaking out of loops
# while True:
# line = input('> ')
# if line == 'done':
# break #ends loop and jumps to the end of the code
# p... | StarcoderdataPython |
3237997 | import unittest
from Rectangle import *
class MyTestCase(unittest.TestCase):
def test_something(self):
p1 = mak_vec(1, 2)
p2 = mak_vec(3, 4)
p3 = mak_vec(5, 6)
p4 = mak_vec(7, 8)
r = mak_rect(mak_vec(0, 0), mak_seg(0, 4), mak_seg(5, 0))
g = mak_picture([mak_seg(p1, ... | StarcoderdataPython |
3260323 | from rest_framework import serializers
from .models import Search, SearchResult
class SearchResultSerializer(serializers.ModelSerializer):
class Meta:
model = SearchResult
fields = '__all__'
class SearchSerializer(serializers.ModelSerializer):
class Meta:
model = Search
field... | StarcoderdataPython |
3317440 | <reponame>lahdjirayhan/drive-kesma-library-linker
# pylint: disable=wrong-import-position, import-outside-toplevel
import logging
logging.basicConfig(level=logging.WARNING)
from decouple import config
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_talisma... | StarcoderdataPython |
3365684 | # -*-coding:utf-8-*-
import numpy as np
# PADDING MODE
PADDING_SAME = 0 # 与输出一致
PADDING_VALID = 1 # 不做对齐补充 会有损失
# POOLING MODE
POOLING_MAX = 0 # 最大
POOLING_AVG = 1 # 平均
POOLING_ECHO = 2 # 原样返回
# 2维卷积
# matrix的层数与filters层数一致
# matrix 单个正方形图层通道
# filters 过滤器集合 可以多个过滤器
# bias 偏移量 集合
# stride filter 移动步长
# pad... | StarcoderdataPython |
1693215 | <reponame>emirkmo/astropy
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
from collections import defaultdict
from os.path import join
from extension_helpers import import_file
from setuptools import Extension
# This defines the set of projection functions that we want to wrap.
# The key is... | StarcoderdataPython |
144742 | <filename>invest_natcap/fisheries/fisheries_hst_io.py<gh_stars>0
'''
The Fisheries Habitat Scenarios Tool IO module contains functions for handling
inputs and outputs
'''
import logging
import os
import csv
import pprint as pp
import copy
import numpy as np
LOGGER = logging.getLogger('invest_natcap.fisheries.hst_io'... | StarcoderdataPython |
4813348 | def find_min_delta(amount):
dot_ind = amount.find(".")
if dot_ind < 0:
return 1.0
float_len = len(amount) - dot_ind - 1
if float_len <= 0:
return 1.0
return float("0." + "0" * (float_len - 1) + "1")
| StarcoderdataPython |
1753250 | # -*- coding: utf-8 -*-
"""
Copyright 2017-2018 <NAME>.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable ... | StarcoderdataPython |
3378810 |
import unittest
import jsonasobj
class ExtendedNamespaceTestCase(unittest.TestCase):
""" ExtendedNamespace is a dictionary / namespace combination. Any valid python identifiers are also available
as first class members.
"""
def test_extendednamespace(self) -> None:
# Direct constructor
... | StarcoderdataPython |
3348077 | import json
from django.contrib.auth.models import Group
from rest_framework import authentication, permissions, serializers, viewsets
from exampleapp.models import Author, Comment, Post, Tag
from . import filters
def update_instance(instance, validated_data):
for attr, value in validated_data.items():
... | StarcoderdataPython |
1713762 | import pandas as pd
from matplotlib import pyplot as plt
sample_data = pd.read_csv('C:\\Users\\nikhi\\Desktop\\Data Visualization\\sample_data.csv')
plt.xlabel = ("No Idea")
plt.ylabel = ("Who KNOWS,seriously!")
plt.title = ("Something of Something")
plt.plot(sample_data.column_a, sample_data.column_b, 'o')
plt.plot(s... | StarcoderdataPython |
3249380 | # -*- coding: utf-8 -*-
# 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, softw... | StarcoderdataPython |
3374388 | """
This file is public domain, it can be freely copied without restrictions.
SPDX-License-Identifier: CC0-1.0
Top Level Wakey-Wakey Testbench
"""
import sys
sys.path.append('../../../py/')
import numpy_arch as na
import pdm
import aco
sys.path.append('../../../test/pdm_capture_test/py/')
import parse_mic_data
impo... | StarcoderdataPython |
42496 | import gzip
import logging
import logging.handlers
import os
from cStringIO import StringIO as IO
from spreads.vendor.huey import SqliteHuey
from spreads.vendor.huey.consumer import Consumer
from spreads.vendor.pathlib import Path
from flask import Flask, request
from spreads.plugin import (HookPlugin, SubcommandHook... | StarcoderdataPython |
4818850 | from django.urls import path
from .views import (
BlockchainCreateView,
BlockchainDeleteView,
BlockchainDetailView,
BlockchainListView,
BlockchainUpdateView,
)
app_name = "blockchain"
urlpatterns = [
path("", BlockchainListView.as_view(), name="blockchain_list"),
path("add/", BlockchainCre... | StarcoderdataPython |
3346433 | """A library for decoding HTML fetched from the web into Unicode.
Uses BeautifulSoup4.UnicodeDammit internally. It, in turn, uses the 'chardet'
module internally if it is available, which is recommended.
It is highly recommended to use the HTTP response headers if they are available,
since often the correct encoding ... | StarcoderdataPython |
1762216 | <reponame>PeerXu/fysom3
# coding=utf-8
#
# fysom - pYthOn Finite State Machine - this is a port of Jake
# Gordon's javascript-state-machine to python
# https://github.com/jakesgordon/javascript-state-machine
#
# Copyright (C) 2011 <NAME> <<EMAIL>>, <NAME>
# and oth... | StarcoderdataPython |
4818979 | import click
@click.command('migrate', short_help='exec migrate')
@click.option('--database', '-d',
help='the database connection to use.')
@click.option('--path', '-p',
help='the path of migration files')
def migrate(database, path):
if not click.confirm(
'Are you sure you... | StarcoderdataPython |
1762570 | <reponame>594422814/ContrastCorr
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from libs.net_utils import NLM_NC_woSoft
from libs.utils import *
from libs.autoencoder import encoder3, decoder3, encoder_res18, encoder_res50
import pdb
class NLM_woSoft(nn.Module):
"""
Non-local mean ... | StarcoderdataPython |
3223461 | <reponame>lilies/Cirq
# Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | StarcoderdataPython |
1699681 | <reponame>dmorand17/csv_utils
from setuptools import setup, find_packages
with open('README.md') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
with open('requirements.txt') as f:
requirements = [req for req in f.read().splitlines() if not req.startswith('#')]
setup(
name='csv... | StarcoderdataPython |
3325354 | from pwn import *
breakAddress = 0x004006dd # Address with compare instruction
targetRegister = '$rdx' # Value that we want to identify
breakCommand = '''set logging file russian.log
set logging on
break *{}
command 1
# Commenting silent out breaks output (print statements do not display)
silent
print {... | StarcoderdataPython |
3204382 | import argparse
def parse_args(args):
""" Parse the arguments.
"""
parser = argparse.ArgumentParser(description='Simple training script for training a RetinaNet network.')
subparsers = parser.add_subparsers(help='Arguments for specific dataset types.', dest='dataset_type')
subparsers.required =... | StarcoderdataPython |
1719269 | # Copyright 2021 Open Collector, Inc,
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, d... | StarcoderdataPython |
3299291 | <reponame>iamfaith/DeepLearning<filename>books/PRML/PRML-master-Python/prml/nn/linalg/logdet.py<gh_stars>1000+
import numpy as np
from prml.nn.tensor.constant import Constant
from prml.nn.tensor.tensor import Tensor
from prml.nn.function import Function
class LogDeterminant(Function):
def forward(self, x):
... | StarcoderdataPython |
3214262 | from kivy.uix.floatlayout import FloatLayout
from kivy.properties import ObjectProperty
from kivy.uix.popup import Popup
from kivy.uix.button import Button
from os.path import join, isdir
import frontur_utilities.utility_fileloader as df_fileloader
class SaveDialog(FloatLayout):
save = ObjectProperty(None)
tex... | StarcoderdataPython |
4831793 | """Calculates erosion rate as a function of the depth-slope product
Erosion rate = k_e * ((Tau**a - Tau_crit**a))
k_e = erodibility coefficient
Tau = bed shear stress
= density of fluid (rho) * gravitational acceleration (g) * water depths (h) * slopes (S)
Tau_crit = critical shear stress
a = positive exponent
... | StarcoderdataPython |
193248 | from bs4 import BeautifulSoup
from sys import argv
import requests, urllib
query = argv[1]
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
if len(argv) == 3:
version = argv[2]
url = 'http://www.biblegateway.co... | StarcoderdataPython |
1688197 | <reponame>PwC-FaST/fast-webapp
# Generated by Django 2.1.2 on 2019-01-02 16:42
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('core', '0001_initial'),
('farming', '0001_initial'),
]
o... | StarcoderdataPython |
181120 | #!/usr/bin/python
import uuid
import os
import sys
import glob
import json
import ldap
ldap.set_option(ldap.OPT_X_TLS_REQUIRE_CERT, ldap.OPT_X_TLS_ALLOW)
ces_dir = os.path.join('/tmp', str(uuid.uuid4()).split('-')[0])
ces_zip = '/opt/dist/gluu/community-edition-setup.zip'
cmd = 'unzip -q {} -d {}'.format(ces_zip, ce... | StarcoderdataPython |
82072 | #!/usr/bin/env python3
from argparse import ArgumentParser
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import to_hex
def main(args):
cmap = plt.get_cmap(args.cmap)
for x in np.linspace(0, 1, num=args.n_colors):
print(to_hex(cmap(x), keep_alpha=False))
if __name__ == '... | StarcoderdataPython |
41101 | """Console script for r_freeze."""
import argparse
import sys
from r_freeze.r_freeze import get_packages, write_package_file
def main():
"""Console script for r_freeze."""
parser = argparse.ArgumentParser()
parser.add_argument("dir", type=str, help="Directory to look for")
parser.add_argument(
... | StarcoderdataPython |
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