content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import csv
import requests
from requests.auth import HTTPBasicAuth
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import json
from datetime import datetime
import os
import logging
import traceback
import uuid
import sys
sys.path.insert(0, '/opt')
import boto3
from botocore.exceptions import ClientError
from utils import retry
logger = get_logger()
@retry(ExceptionToCheck=(Exception,), max_retries=1, multiplier=2, log... | [
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"""smh URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vie... | [
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... | 2.684303 | 567 |
from django import forms | [
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# pylint: disable=missing-function-docstring, missing-module-docstring/
# coding: utf-8
from pyccel.parser.syntax.himi import parse
######################
if __name__ == '__main__':
test_himi_declare()
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from django.db import models
from django.core.files.base import ContentFile
import random
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from unittest.mock import MagicMock
import pytest
import ujson
from kaori.adapters.slack import SlackAdapter
from .support import CardHelpCommand, CardPriceCommand
@pytest.mark.asyncio
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#
# -*- coding: utf-8 -*-
# Copyright 2019 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
"""
The exos vlans fact class
It is in this file the configuration is collected from the device
for a given resource, parsed, and the facts tree is populated
based on the con... | [
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import torch
import numpy as np
from torch.nn import Module, Conv2d, Parameter
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
import math
#from torch.nn.parameter import Parameter
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import pytest
import psycopg2
from tanker import Pool
@pytest.yield_fixture(scope='session', autouse=True)
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"""
Dispatcher responds with station numbers not calculated yet until no such remain.
It is for calculation of the reference table.
"""
import pandas as pd
import socket
import json
import logging
from datetime import datetime
import utils
import constants
logging.basicConfig(
level=logging.INFO,
format=... | [
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from django.db import models
class AsyncImportLog(models.Model):
"""Used to log and follow the asyncronous import of data"""
IMPORT_ADI = 1
IMPORT_GL = 2
IMPORT_CHOICE = (
(IMPORT_ADI, "ADI file from Admin Tool"),
(IMPORT_GL, "GL Report from Oracle"),
)
STATUS_STARTED = 1
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from HelperFunctions import find_author
import datetime
class Message:
"""Class for individual message: date, time, mood, author, etc. """
@property
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#!/usr/bin/env python
# SPDX-FileCopyrightText: 2021 Espressif Systems (Shanghai) CO LTD
# SPDX-License-Identifier: Apache-2.0
"""
Check files for copyright headers:
- file not on ignore list:
- old Espressif copyright -> replace with SPDX
- SPDX with invalid year or old company name -> replace with valid SPDX
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
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#!/usr/bin/env python
"""
matplotlib with datetime64 testing
"""
import xarray
from datetime import datetime
from matplotlib.pyplot import figure, show
import matplotlib.dates as mdates
import numpy as np
def test_imshow_datetime():
"""
keogram using matplotlib imshow
"""
Ny = 500 # arbitrary
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a="nikhil"
b=4.5
c=5
d=True
print(type(a))
print(type(b))
print(type(c))
print(type(d)) | [
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#!/usr/bin/env python3
# -*- coding : utf-8 -*-
# Author: Witek Bobrowski
import json
import argparse
from humblecritic import goodreads as gr
from humblecritic import __version__
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def collinear(coordinates):
"""
Passing thru one pt with some fixed slope \implies
must exist only one such line
Rmk. If we are to use slope, we must deal separately with one particular case:
Vertical line.
"""
A, B, C = coordinates
if A[0] == B[0] == C[0]:
return True
prin... | [
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... | 2.012422 | 483 |
version https://git-lfs.github.com/spec/v1
oid sha256:74abe5c1d0b842b6a73d801d81afbf1969753536c70c77b34a1cfce907080a53
size 391
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"""
CARPI REDIS DATA BUS
(C) 2018, Raphael "rGunti" Guntersweiler
Licensed under MIT
"""
from logging import Logger
from threading import Thread
from time import sleep, time
from typing import Any
from carpicommons.log import logger
from redis import StrictRedis
from redis.client import PubSub
if __name__ == "__m... | [
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# @lc app=leetcode id=468 lang=python3
#
# [468] Validate IP Address
#
# https://leetcode.com/problems/validate-ip-address/description/
#
# algorithms
# Medium (25.61%)
# Likes: 557
# Dislikes: 2155
# Total Accepted: 109.5K
# Total Submissions: 426.8K
# Testcase Example: '"172.16.254.1"'
#
# Given a string IP, r... | [
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... | 2.203185 | 1,570 |
import os
import logging
from time import sleep
from threading import Thread
from datetime import datetime, timedelta
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import json
import os
qutewal_dynamic_loading = False
home = os.getenv('HOME')
daemon_relative = '.config/qutebrowser/qutewald.py'
daemon_absolute = os.path.join(home, daemon_relative)
with open(os.path.join(home, '.cache', '.bg')) as bgfile:
bg = bgfile.read().strip()
hue_1 = '{color6}'
hue_2 = '{color4}'
hue... | [
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
Created on 25.07.2013
@author: rombr
Deploy:
setup.py sdist upload
'''
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from distutils.command.install import INSTALL_SCHEMES
import os
def fullsplit(path, result=None):
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import os
from setuptools import setup
VERSION = "1.0.4"
NAMESPACE = "newstore"
NAME = "{}.json_encoder".format(NAMESPACE)
setup(
name=NAME,
version=VERSION,
description="JSONEncoder",
long_description=local_text_file("README.md"),
long_description_content_type="text/markdown",
author="NewS... | [
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# MIT licensed
# Copyright (c) 2013-2020 lilydjwg <lilydjwg@gmail.com>, et al.
API_URL = 'https://crates.io/api/v1/crates/%s'
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# -*- coding: utf-8 -*-
from typing import Optional, Union, Any, Callable
from recc.mime.mime_type import MimeType
MimeEncoder = Callable[[Any], bytes]
MimeDecoder = Callable[[bytes], Any]
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# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import datetime
import collections
import logging
from django.conf import settings
from ralph.util import plugin
from ralph_pricing.models imp... | [
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# -*- encoding: utf-8 -*-
#
if __name__ == "__main__":
import sys, keras, tensorflow, sklearn
print("Python %s" % sys.version)
print("Keras %s" % keras.__version__)
print("TesnforFlow %s" % tensorflow.__version__)
print("scikit-learn %s" % sklearn.__version__)
import argparse
parser = argparse.ArgumentP... | [
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72... | 2.866667 | 300 |
"""This submodule implements the `OptimadeQuery` class, which enables filtering
on any crystal structure database that implements an [OPTIMADE API](https://optimade.org).
"""
import logging
import os
from pathlib import Path
from typing import List, Union
import requests
from Xerus.settings.settings import REQUESTS_T... | [
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198,
... | 3.821782 | 101 |
#!/usr/bin/python
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.SeqFeature import SeqFeature
import sys
import os
outdir = sys.argv[2]
handle = open(sys.argv[1], 'rt')
handle_name = os.path.basename(sys.argv[1]).split('.')[0]
outfile = open(os.path.join(outdir,f"{handle_name}.ffn"), 'w')
seque... | [
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1330,
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80,
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25064,
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117... | 2.256993 | 572 |
import smoothing_convolution
import numpy as np
print(smoothing_convolution.apply_convolution(np.array([[1,1,1],[1,1,1],[1,1,1]]), np.array([[1,1,1],[1,1,1],[1,1,1]])))
| [
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16,
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16,
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16,
11,
16,
384... | 2.236842 | 76 |
# Copyright (c) OpenMMLab. All rights reserved.
from .mswin_head import MultiSwinHead
from .fpn_transformer_head import FpnTransformerHead
__all__ = [
'MultiSwinHead', 'FpnTransformerHead'
]
| [
2,
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62,
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198... | 2.84058 | 69 |
import logging
import yaml
import gateway_to_cookies
from pathlib import Path
from pandas import read_csv
from joblib import dump
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
logger = logging.getLogger(__name__)
def main():
""" Runs RandomForestClassifier on trai... | [
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1100,
62,
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198,
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198,
6738,
1341,
35720,
13,
1072,
1... | 2.605217 | 575 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Graphviz wrapper to visualize SEM models."""
from .model import Model
import logging
try:
import graphviz
__GRAPHVIZ = True
except ModuleNotFoundError:
logging.info("No graphviz package found, visualization method is "
"unavailable")
_... | [
2,
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14,
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14,
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18,
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2,
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9,
12,
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25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
37065,
85,
528,
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284,
38350,
48603,
4981,
526,
15931,
198,
6738,
764,
19849,
1330,
9104,
198,
11748,
1... | 2.230179 | 1,955 |
from precise_bbcode.bbcode import get_parser
from precise_bbcode.test import gen_bbcode_tag_klass
| [
6738,
7141,
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8189,
13,
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13,
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2429,
62,
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8189,
62,
12985,
62,
74,
31172,
628
] | 3.193548 | 31 |
from typing import Union, Iterable
import numpy as np
from .static_shape import StaticShape
from .tensor import Tensor, Shape
from ..utils import validate
NCHW = ConvFormat((0, 1, 2, 3), (0, 1, 2, 3))
CHWN = ConvFormat((3, 0, 1, 2), (0, 1, 2, 3))
TensorFlowNHWC = ConvFormat((0, 3, 1, 2), (3, 2, 0, 1))
def im2col... | [
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309,
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11,
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198,
6738,
11485,
26791,
1330,
26571,
6... | 2.440101 | 1,586 |
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import streamlit as st
from statsmodels.tsa.stattools import adfuller
from transformation_function import timeSeriesTransformer
def test_stationary(timeseries, plot_results=False, data_frequency=None, force_transformation_technique=None, custom_tr... | [
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198,
6738,
9756,
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13,
912,
64,
13,
301,
1078,
10141,
1330... | 2.948963 | 2,410 |
"""This registry can read data from LAN devices and send commands to them.
For non DIY devices data will be encrypted with devicekey. The registry cannot
decode such messages by itself because it does not manage the list of known
devices and their devicekey.
"""
import asyncio
import base64
import ipaddress
import json... | [
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20478,
460,
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13,
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1890,
1729,
25134,
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1366,
481,
307,
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351,
3335,
2539,
13,
383,
20478,
2314,
198,
12501,
1098,
884,
6218,
416,
2346,
780,
340,
857,
4... | 3.571906 | 299 |
"""
GRPC server connection.
"""
import atexit
import logging
import socket
import threading
import time
from contextlib import closing
import grpc
from .proto import (xenon_pb2_grpc)
from .compat import (start_xenon_server, kill_process)
def check_socket(host, port):
"""Checks if port is open on host. This is... | [
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198,
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8019,
1330,
9605,
198,
198,
11748,
1036,
14751,
198,
1... | 2.73855 | 1,048 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import json
import pandas as pd
def get_data_in_format(original_data: json) -> pd.DataFrame:
"""Convert the json data into dataframe.
Args:
original_data (json): Json data requested from database directly.
Returns:
... | [
2,
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66,
8,
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2,
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198,
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198,
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651,
62,
7890,
62,
259,
62,
18982,
7,
14986,
62,
7890,
25,
33918,
... | 2.468303 | 489 |
from z3 import *
from antlr4.InputStream import InputStream
from antlr4.CommonTokenStream import CommonTokenStream
from anyHR.constraint.ConstraintQuantitativeEvaluator import ConstraintQuantitativeEvaluator
from anyHR.constraint.ConstrainttoZ3Equality import ConstrainttoZ3Equality
from anyHR.constraint.parser.Constra... | [
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1976,
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198,
198,
6738,
597,
17184,
13,
1102,
2536,
2913,
13,
3103,
253... | 2.52572 | 972 |
'''
Write a function that accepts an array of 10 integers (between 0 and 9), that returns a string of those numbers in the form of a phone number.
Example:
create_phone_number([1, 2, 3, 4, 5, 6, 7, 8, 9, 0]) # => returns "(123) 456-7890"
The returned format must be correct in order to complete this challenge.
Don't f... | [
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281,
7177,
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286,
257,
3072,
1271,
13,
198,
198,
16281,
25,
198,
17953,
62,
4862,
62,
... | 3.490566 | 106 |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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 applicab... | [
2,
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12,
23,
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2,
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2,
198,
2,
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11,
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362,
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15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
... | 2.352232 | 5,309 |
pop = pd.read_csv("../data/IHME_GBD_2016_POPULATION_ESTIMATES_1990_2016_Y2017M09D14.CSV")
pop
| [
12924,
796,
279,
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62,
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62,
56,
5539,
44,
2931,
35,
1415,
13,
7902,
53,
4943,
1... | 2 | 47 |
# encoding = utf-8
__author__ = "Ang Li"
c = Cat()
c.shout()
| [
2,
21004,
796,
3384,
69,
12,
23,
198,
834,
9800,
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198,
198,
66,
796,
5181,
3419,
198,
198,
66,
13,
1477,
448,
3419,
198
] | 2.1 | 30 |
# coding=utf-8
# Copyright 2020 The TF-Agents Authors.
#
# 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 applicable la... | [
2,
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28,
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2,
198,
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15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
... | 3.322222 | 360 |
import warnings
warnings.simplefilter('ignore', Warning)
from content_gfk.tests.fields import *
from content_gfk.tests.resources import *
| [
11748,
14601,
198,
40539,
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24455,
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2695,
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70,
69,
74,
13,
41989,
13,
37540,
1330,
1635,
198
] | 3.390244 | 41 |
from common import *
''' destroy mitrals, granules, MGRS, and clear internal gid maps. '''
| [
6738,
2219,
1330,
1635,
198,
198,
7061,
6,
4117,
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11,
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11,
34809,
6998,
11,
290,
1598,
5387,
308,
312,
8739,
13,
705,
7061,
198
] | 3.285714 | 28 |
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.views.generic import ListView, DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from recipe.models import Recipe
recipe_list_view = RecipeListView.as_view()
recipe_detail... | [
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14208,
13,
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13,
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13,
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35608,
259,
198,
198,
6738,
42625,
14208,
13,
6371,
82,
1330,
9575,
62,
75,
12582,
198,
6738,
42625,
14208,
13,
33571,
13,
41357,
1330,
7343,
7680,
11,
... | 3.135802 | 162 |
"""Unit tests for cutty.repositories.adapters.fetchers.file."""
from pathlib import Path
import pytest
from yarl import URL
from cutty.errors import CuttyError
from cutty.repositories.adapters.fetchers.file import filefetcher
from cutty.repositories.domain.locations import asurl
from cutty.repositories.domain.stores ... | [
37811,
26453,
5254,
329,
2005,
774,
13,
260,
1930,
270,
1749,
13,
324,
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13,
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3533,
13,
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198,
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12972,
9288,
198,
6738,
331,
7063,
1330,
10289,
198,
198,
6738,
... | 2.788767 | 819 |
import pytest
import requests_mock
from apitist.constructor import converter
from tests.data import _list, _status_true, _test_case
from qaseio.client.models import (
Severity,
TestCaseFilters,
TestCaseInfo,
TestCaseList,
)
@pytest.mark.parametrize(
"params, query",
[
((10, 30), "?li... | [
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198,
198,
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62,
76,
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13,
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273,
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198,
6738,
5254,
13,
7890,
1330,
4808,
4868,
11,
4808,
13376,
62,
7942,
11,
4808,
9288,
62,
7442,
198,
198,
6738,
10662,
... | 1.88172 | 372 |
# standard library
import hashlib
import datetime
import random
import logging
# Django
from django.shortcuts import render, redirect
from django.core.mail import send_mail
from django.contrib import messages
from django.views.generic import FormView
# Local Django
from user.models import (User,
... | [
2,
3210,
5888,
198,
11748,
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8019,
198,
11748,
4818,
8079,
198,
11748,
4738,
198,
11748,
18931,
198,
198,
2,
37770,
198,
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
11,
18941,
198,
6738,
42625,
14208,
13,
7295,
13,
4529,
1330... | 2.971429 | 280 |
from __future__ import division
from builtins import object
import pytest
try:
import cupy as cp
try:
cp.cuda.Device(0).compute_capability
except cp.cuda.runtime.CUDARuntimeError:
pytest.skip("GPU device inaccessible", allow_module_level=True)
except ImportError:
pytest.skip("cupy not i... | [
6738,
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220,
220,
220,
1330,
6508,
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355,
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198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
2... | 2.712644 | 174 |
from rest_framework.viewsets import ModelViewSet
from rest_framework import permissions
from .models import List, Card
from .serializers import ListSerializer, CardSerializer
| [
6738,
1334,
62,
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198,
201,
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5172,
201,
198,
6738,
764,
46911,
11341,
1330,
7343,
32634,
7509,
11,
... | 3.7 | 50 |
#! /usr/bin/env python
from __future__ import print_function
from ldpop import LookupTable, rhos_from_string
import argparse
import logging
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Print a lookup table, as expected by ldhat or ldhelmet.')
parser.add_argument('-n', type=... | [
2,
0,
1220,
14629,
14,
8800,
14,
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198,
6738,
11593,
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834,
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3601,
62,
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198,
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300,
67,
12924,
1330,
6803,
929,
10962,
11,
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418,
62,
6738,
62,
8841,
198,
11748,
1822,
29572,
198,
11748,
18931,
198,
... | 1.970067 | 1,637 |
import codecademylib3_seaborn
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
df = pd.read_csv("survey.csv")
sns.barplot(data=df,
x="Age Range",
y="Response",
hue="Gender")
plt.show() | [
11748,
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67,
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355,
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384,
397,
1211,
355,
3013,
82,
198,
198,
7568,
796,
279,
67,
1... | 2.108333 | 120 |
# Write a message and create a dictionary to assign keys and values
message = 'It was a bright cold day in April, and the clocks were striking thirteen.'
count = {}
# Loop to add the values to the keys
for character in message:
count.setdefault(character, 0)
count[character] = count[character] + 1
print(count) | [
2,
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257,
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290,
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257,
22155,
284,
8333,
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290,
3815,
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20500,
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705,
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373,
257,
6016,
4692,
1110,
287,
3035,
11,
290,
262,
29906,
547,
8871,
28306,
2637,
198,
9127,
796,
23884,
198,
198,
2,
26304,
284,
... | 3.678161 | 87 |
#!/usr/bin/env python
import os
import sys
import argparse
import requests
import json
import csv
from collections import defaultdict
parser = argparse.ArgumentParser(description='Count occurences of something in a tab-separated file')
parser.add_argument('-programDir', type=str,
help='the component progra... | [
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from django.shortcuts import render
from django.http import JsonResponse, HttpResponse
from .models import Movie, User
from .serializers import MovieSerializer
from django.views.decorators.csrf import csrf_exempt
import requests
import json
API_KEY = 'e641ca82ca344df21e96b915c57029c1'
# Create your views here.
@csrf... | [
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198... | 2.607121 | 1,629 |
from datetime import datetime
from decimal import Decimal
from pytest import fixture, raises
from sqlalchemy.orm.exc import NoResultFound
from app.core.models import Record
from app.core.repositories import RecordsRepository
@fixture(scope="function")
new_record = {
"title": "title",
"description": "descr... | [
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... | 3.044776 | 134 |
import os
import yaml
from logbook import Logger
log = Logger(__name__)
settings = LazySettings()
| [
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# Generated by Django 3.2.9 on 2022-01-07 16:03
from django.db import migrations
PATH_REMAP_PREFIX = {
"ingame_python": "evennia.contrib.base_systems",
"building_menu": "evennia.contrib.base_systems",
"color_markups": "evennia.contrib.base_systems",
"custom_gametime": "evennia.contrib.base_systems",
... | [
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2... | 2.351025 | 829 |
# -----------------------------------------------------------------------------
# Copyright (c) 2019-2022, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.tx... | [
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... | 4.441989 | 181 |
#!/usr/bin/env python
"""
Tests for homesweetpi's data_retrieval module.
"""
import os
import logging
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from homesweetpi.retrieve_data import fetch_recent_data
LOG = logging.getLogger("homesweetpi.test_sql_tables... | [
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... | 2.723077 | 390 |
import os
root_path = os.path.dirname(os.path.abspath('__file__'))
# root_path = os.path.abspath(os.path.join(root_path,os.path.pardir))
# def rename_dict(dir_path,spliter=None,replace=None):
# print(dir_path)
# # print(os.listdir(dir_path))
# for x in os.listdir(dir_path):
# if x.__contains__("_one... | [
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... | 1.767031 | 1,189 |
import aicsimage.io as io
import os
import pdb
| [
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#This one is like ur sxripts argv
#ok
#take one argument
#no argument
print_two("Zed","Shaw")
print_two_again("Zed","Shaw")
print_one("First!")
print_none()
| [
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"""Prometheus exporter."""
import logging
from typing import Callable, Optional
from prometheus_client.core import GaugeMetricFamily, Metric, CounterMetricFamily
from .datatypes import WemoResponse
LOGGER = logging.getLogger(__name__)
class CustomWemoExporter: # pylint: disable=too-few-public-methods
"""Prome... | [
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... | 2.590083 | 605 |
import pytinydiffsim_ad as dp
import autogen as ag
import numpy as np
import math
TIME_STEPS = 20
f = ag.trace(func, [1.0] * TIME_STEPS)
gen = ag.GeneratedCppAD(f)
x = [2.0] * TIME_STEPS
y = f.forward(x)
print("y = ", y)
J = f.jacobian(x)
print("j = ", J) | [
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# pacman imports
from pacman.model.constraints.abstract_constraints.\
abstract_placer_constraint import \
AbstractPlacerConstraint
from pacman.model.constraints.placer_constraints.\
placer_chip_and_core_constraint \
import PlacerChipAndCoreConstraint
from pacman.model.constraints.placer_constraints.\
... | [
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#!/usr/bin/env python3
import pathlib
import subprocess
import unittest
from types import SimpleNamespace
from unittest import mock
from muse_tool import multi_muse as MOD
# __END__
| [
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import boto3
import json
def get_robots(event) -> list:
''' Return all robots in the table. '''
ddbc = boto3.client('dynamodb')
response = ddbc.scan(
TableName='Robots'
)
return response
def lambda_handler(event, context):
''' Standard lambda handler. '''
result = get_robots(event)... | [
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from django import forms
from django.forms import ModelForm, TextInput, Textarea, SelectMultiple
#Importamos los modelos, por ahora solo Libro
from apps.modelo.models import Libro | [
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# -*- coding: utf-8 -*-
import chainer.functions as F
import chainer.links as L
import chainer
from chainer import Chain
import numpy as np
import six
| [
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#
# Copyright (c) 2021, Vladislav Yaroshchuk <yaroshchuk2000@gmail.com>
#
# SPDX-License-Identifier: BSD-2-Clause
#
from .wavefront_parse_exception import WavefrontParseException
| [
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# Copyright (c) Facebook, Inc. and its affiliates.
from minihack import MiniHackNavigation
from minihack.envs import register
from nle import nethack
MOVE_ACTIONS = tuple(nethack.CompassDirection)
NAVIGATE_ACTIONS = MOVE_ACTIONS + (
nethack.Command.OPEN,
nethack.Command.KICK,
nethack.Command.SEARCH,
)
cl... | [
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from .test import TestCase
VERSION = (1, 0, 4)
| [
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] | 2.666667 | 18 |
"""
Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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
... | [
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#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Copyright (c) Megvii, Inc. and its affiliates.
from .box_intersection_2d import *
from .min_enclosing_box import *
from .oriented_iou_loss import *
from .test_box_intersection_2d import *
from .utiles import *
| [
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"""
Filename: plotting.py
Author: Stephan Rasp, s.rasp@lmu.de
This script contains functions to read pre-processed NetCDF files, do some
final analysis and plot the results.
"""
# Import modules
from helpers import read_netcdf_dataset, get_config, save_fig_and_log, \
make_datelist, get_and_crop_radar_f... | [
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1468... | 1.869042 | 6,819 |
import math
import os
import random
import re
import sys
# Complete the solve function below.
if __name__ == '__main__':
meal_cost = float(input())
tip_percent = int(input())
tax_percent = int(input())
solve(meal_cost, tip_percent, tax_percent) | [
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15... | 2.977528 | 89 |
from typing import Type
from uuid import UUID
from sqlalchemy import select
from api.db.errors import DoesNotExist
from api.db.models.tenant_webhook import (
TenantWebhookCreate,
TenantWebhookUpdate,
TenantWebhookRead,
TenantWebhook,
)
from api.db.repositories.base import BaseRepository
| [
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... | 2.942308 | 104 |
"""
Description.
Example
-------
asdf
Attributes
----------
asdf
Todo
----
asdf
"""
from typing import List # , TextIO, Optional, Set, Union, Dict, Tuple
import collections as coll
import math
import random
auction_settings = coll.namedtuple('auction_settings', ['q', 't', 'p'])
environment_settings = coll.namedtu... | [
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837,
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9399,... | 2.179291 | 2,086 |
#learnSQL.py
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy import MetaData, Table, Column, Integer, Numeric, String, ForeignKey
# local_postgresql_engine = create_engine(
# 'postgresql+psycopg2://username:password@localhost:5432/mydb')
#remote_mysql_db_
# engine = create_engin... | [
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... | 2.434185 | 509 |
from datetime import datetime
from pathlib import Path
import pandas as pd
import helpers as hlp
"""
Filenames in DATADIR
test.csv
item_categories.csv
shops.csv
items.csv
sample_submission.csv
sales_train.csv
sales_train_dn.csv
['date', 'date_block_num', 'shop_id', 'item_id', 'item_price', 'item_cnt_day', 'dn']
... | [
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... | 2.39819 | 221 |
'''Partial class to handle Vultr Snapshot API calls'''
from .utils import VultrBase, update_params
class VultrSnapshot(VultrBase):
'''Handles Vultr Snapshot API calls'''
def create(self, subid, params=None):
''' /v1/snapshot/create
POST - account
Create a snapshot from an existing vir... | [
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19... | 2.435514 | 535 |
from dataclasses import dataclass
from bindings.gmd.vertical_csproperty_type import VerticalCspropertyType
__NAMESPACE__ = "http://www.opengis.net/gml"
@dataclass
class VerticalCs2(VerticalCspropertyType):
"""
gml:verticalCS is an association role to the vertical coordinate system
used by this CRS.
"... | [
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... | 2.990741 | 108 |
# Generated by Django 3.0.14 on 2021-07-28 08:27
from django.db import migrations, models
| [
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] | 2.875 | 32 |
import unittest
import math
import torch
import os
import tempfile
import uuid
import shutil
import pyprob
from pyprob import util, Model, LearningRateScheduler, Optimizer
from pyprob.distributions import Normal, Uniform
if __name__ == '__main__':
pyprob.set_random_seed(123)
pyprob.set_verbosity(1)
uni... | [
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1... | 2.819672 | 122 |
"""
The ``random_word`` module houses all classes and functions relating to the
generation of single random words.
"""
import random
import re
import enum
from typing import Optional, List
from . import assets
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 `imp... | [
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3223... | 2.395731 | 6,090 |
import numpy as np
from describe.descriptors import Descriptor
class CoulombMatrix(Descriptor):
"""Calculates the zero padded Coulomb matrix for different systems.
The Coulomb matrix is defined as:
C_ij = 0.5 Zi**exponent | i = j
= (Zi*Zj)/(Ri-Rj) | i != j
The matrix is p... | [
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17593... | 2.217811 | 932 |
#!/usr/bin/env python
"""Orb Status Packet Interface"""
import time
from datetime import datetime
from calendar import timegm
from twisted.python import log
from antelope import stock
from antelope import brttpkt
from antelope.orb import ORBNEWEST
from antelope.brttpkt import NoData
from kudu.twisted.orbreapthread ... | [
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import json
import websocket
from kafka import KafkaProducer
from settings import INFURA_SUBSCRIPTION, INFURA_WEBSOCKET, KAFKA_SERVER, KAFKA_TOPIC
from utils import retry_with_exponential_backoff
def pipe_infura_websocket_to_kafka(subscription_type):
"""
Given a subscription type (https://infura.io/docs/ethe... | [
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... | 2.386449 | 797 |
import Synthesis.post as post
from Synthesis.post.metric import distance
from Synthesis.units import *
from tqdm import tqdm
from os.path import join
POP = post.population('SynthesisRuns/combined',242)
POP.switch_plot_config('paper')
print(POP)
# Limits for Terrestrial Planets
m_low_lim = 1 * M_ME / M_E
a_up_lim = 2... | [
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4... | 2.307692 | 195 |
# -*- coding: utf-8 -*-
'''
File name: code\amazing_mazes\sol_380.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
# Solution to Project Euler Problem #380 :: Amazing Mazes!
#
# For more information see:
# https://projecteuler.net/problem=380
# Problem Statement
'''
An m×n... | [
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... | 3.130556 | 360 |
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
# %%
img = cv.imread(cv.samples.findFile("./assets/bolhas.png"),0) # get picture grayscale = 0
if img is None: #checks picture has been apened
sys... | [
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... | 2.37246 | 443 |
# @param {string[]} strs
# @return {string}
| [
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from .decoders import get_decoder
| [
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] | 3.090909 | 11 |