content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
"""
725. Split Linked List in Parts
Medium
0Given the head of a singly linked list and an integer k, split the linked list into k consecutive linked list parts.
The length of each part should be as equal as possible: no two parts should have a size differing by more than one. This may lead to some parts being null.
... | [
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... | 2.724691 | 810 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
"""
def ecdf(sorted_views):
for view, data in sorted_views.iteritems():
yvals = np.arange(len(data))/float(len(data))
plt.plot(data, yvals, label=view)
plt.grid(True)
plt.xlabel('jaccard')
plt.ylabel('CDF')
lgnd ... | [
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... | 2.158537 | 246 |
import pystim
bin_path = None # TODO correct.
vec_path = None # TODO correct.
trials_path = None # TODO correct.
stimulus = pystim.stimuli.flashed_images.load(bin_path, vec_path, trials_path)
print(stimulus.nb_frames)
print(stimulus.nb_diplays)
print(stimulus.nb_trials)
print(stimulus.nb_conditions)
print(stimulu... | [
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42... | 2.836334 | 611 |
#### neeed to make sure google still work for sure
# this may have to run on non-python devs' boxes, try/catch an install of the requests lib to be SURE
try:
import requests
except:
import os
os.sys('easy_install pip')
os.sys('pip install requests')
import requests
#r = requests.get('http://www.go... | [
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... | 2.924658 | 146 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Exercise 10.10 from Kane 1985."""
from __future__ import division
from sympy import expand, solve, symbols, sin, cos, S
from sympy.physics.mechanics import ReferenceFrame, RigidBody, Point
from sympy.physics.mechanics import dot, dynamicsymbols, inertia, msprint
from ut... | [
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67... | 1.93252 | 2,460 |
from unittest import TestCase
from src.view import PairwiseView
import numpy as np
| [
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] | 3.48 | 25 |
# prompt user to enter how much they weigh in pounds
weight = int(input ("How much do you weigh (in pounds)? "))
# prompt user to enter their height in inches
height = int(input ("What is your height (in inches)? "))
# this converts weight to kilograms
weight_in_kg = weight / 2.2
# this converts height to c... | [
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... | 2.845506 | 356 |
# Day9 - 2021 Advent of code
# source: https://adventofcode.com/2021/day/9
import os
import numpy as np
#let's start
if __name__ == '__main__':
clear_console()
start_the_engine() | [
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import discord
from discord.ext import commands
from datetime import date, datetime
# Class handles commands related to console players
# Add this class to the cog list
def setup(bot):
bot.add_cog(ConsoleCommands(bot))
| [
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... | 3.66129 | 62 |
R"""
try to get the worksheet name from a worksheet
run -pyf C:\Users\swharden\Documents\GitHub\PyOriginTools\documentation\demonstrations\abfFromWks.py
"""
import sys
if False:
# this code block will NEVER actually run
sys.path.append('../') # helps my IDE autocomplete
sys.path.append('../../') # helps my... | [
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... | 2.786611 | 239 |
# Generated by Django 3.1 on 2021-08-19 15:49
import django.db.models.deletion
from django.db import migrations, models
| [
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] | 2.904762 | 42 |
from .features import *
from .conditions import *
| [
6738,
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1635,
198,
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764,
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1756,
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] | 3.846154 | 13 |
import numpy as np
import h5py
from datetime import datetime
from geopy.distance import distance
import argparse
import pickle
import json
import os
def coord_distance(coords):
"""return distance between two points
geopy.distance.distance accept [lat, lon] input, while this dataset is [lon, lat]
"""... | [
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2... | 2.718147 | 518 |
from clawpack.petclaw.solution import Solution
import matplotlib
matplotlib.use('Agg')
import matplotlib.pylab as pl
from matplotlib import rc
import numpy as np
import os
#
| [
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801... | 3.163636 | 55 |
import torch
from typing import List
def kl_div(mu, sigma):
"""
KL-divergence between a diagonal multivariate normal,
and a standard normal distribution (with zero mean and unit variance)
"""
sigma_2 = sigma * sigma
kld = 0.5 * torch.mean(mu * mu + sigma_2 - torch.log(sigma_2) - 1.0)
r... | [
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12,
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... | 2.486647 | 337 |
import os
import json
import numpy as np
from numpy import log10, pi, sqrt
import scipy.io.wavfile as wav
from scipy.fftpack import *
from src import (
FilterAnalyzePlot,
WaveProcessor,
ParametricEqualizer,
GraphicalEqualizer,
cvt_char2num,
maker_logger,
DEBUG,
)
if DEBUG:
PRINTER = ma... | [
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... | 1.874335 | 4,886 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import re
import json
from datetime import datetime
from alfred import *
TIMESTAMP_SEC_RE = r'^\d{10}$' # 1643372599
TIMESTAMP_MSEC_RE = r'^\d{13}$' # 1643372599000
# 2022-01-28 10:00:00
DATETIME_LONG_STR = r'^[1-9]\d{3}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}$'
DATET... | [
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1330,
4818,
8079,
198,
6738,
435,
391... | 1.991758 | 364 |
import ursina
app = ursina.Ursina(init_showbase=True)
| [
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7,
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62,
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28,
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8,
198
] | 2.291667 | 24 |
import logging
from functools import wraps
import psutil
from telegram import InlineKeyboardMarkup, InlineKeyboardButton, ForceReply, ParseMode
from telegram.ext import CommandHandler, CallbackQueryHandler, MessageHandler, Filters
from ravager.bot.helpers.constants import *
from ravager.bot.helpers.timeout import Con... | [
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57... | 2.108537 | 1,511 |
#############################################################
# .doc
# Githubhttps://github.com/idocx/WHULibSeatReservation
#############################################################
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x03\xac\
\x00\
\x00\x67\xf6\x78\x9c\xed\x9... | [
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42... | 1.266719 | 7,686 |
import random
import six.moves.urllib.parse as urlparse
| [
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# 9.1. Putting a Wrapper Around a Function
#region
# import time
# from functools import wraps
# def timethis(func):
# '''
# Decorator that reports the execution time.
# '''
# @wraps(func)
# def wrapper(*args, **kwargs):
# start = time.time()
# result = func(*args, **kwargs)
# ... | [
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import numpy as np
import torch
torch.manual_seed(0)
# PRE-PROCESSING
RAVDESS_DSET_PATH = "C:\\Users\\***\\Downloads\\RAVDESS\\"
TESS_DSET_PATH = "C:\\Users\\***\\Downloads\\TESS\\"
N_WORKERS = 15
# DATASET
emote_id = {
"01" : "neutral", "03" : "happy",
"04" : "sad", "05" : "angry"}
emote_idn = ... | [
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1... | 2.0625 | 368 |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: vdp/pipeline/v1alpha/pipeline_service.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import... | [
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6... | 2.184893 | 3,548 |
__author__ = "SilentJungle399"
__version__ = "1.0.0"
from .client import *
from .models import *
from .enums import *
| [
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from .abstractanalyzer import AbstractAnalyzer
from textblob import TextBlob
| [
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] | 3.761905 | 21 |
"""3/1 adventofcode"""
with open("input.txt", "r", encoding="UTF-8") as i_file:
data = i_file.read().splitlines()
columns = [[row[i] for row in data] for i in range(len(data[0]))]
def binlst_to_int(values) -> int:
"""Returns int values of binary in list form"""
values = values[::-1]
total = 0... | [
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from braces.views import AnonymousRequiredMixin
from django.views.generic import TemplateView
| [
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] | 4.47619 | 21 |
#!/usr/bin/python3
from functools import partial
from datetime import datetime
import pandas as pd
from joblib import parallel_backend
import random
import numpy as np
from sklearn.calibration import CalibratedClassifierCV
import shutil
import pathlib
import os
import math
import random
from matplotlib import pyplot
... | [
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473... | 2.956409 | 1,537 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from scipy import optimize, sparse
from .AbstractDistanceAlg import AbstractDistanceAlg
| [
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2348,... | 3.039216 | 51 |
from collections.abc import Sequence
from .filter import Filter
| [
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] | 4.714286 | 14 |
"""
:copyright: Nick Hale
:license: MIT, see LICENSE for more details.
"""
__version__ = '0.0.1'
| [
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25,
8047,
35056,
198,
25,
43085,
25,
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11,
766,
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329,
517,
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13,
198,
37811,
198,
834,
9641,
834,
796,
705,
15,
13,
15,
13,
16,
6,
198
] | 2.694444 | 36 |
from google.protobuf import text_format
from pomagma.io import protobuf_test_pb2
from pomagma.io.protobuf import InFile, OutFile
from pomagma.util import in_temp_dir
from pomagma.util.testing import for_each
EXAMPLES = [
parse(''),
parse('''
optional_string: 'test'
'''),
parse('''
re... | [
6738,
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... | 1.934498 | 458 |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable l... | [
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239... | 3.278626 | 262 |
import re
from django.template import Library, Node, TemplateSyntaxError
from django.template.base import token_kwargs
from django.urls import Resolver404, resolve
from django.utils.html import format_html
register = Library()
| [
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... | 3.609375 | 64 |
""" Log initializer """
from __future__ import absolute_import, division, print_function, unicode_literals
import itertools
import logging
import sys
import os
from logging.handlers import RotatingFileHandler
from rich.logging import RichHandler
from typing import List
DEBUG = logging.DEBUG
INFO = logging.INFO
ERROR ... | [
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340,
861,
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198,
11748,
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198,
11748,
25064,
198,
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2868... | 2.652833 | 1,253 |
import argparse
from pathlib import Path
import torch
import torch.nn.functional as F
from sklearn.metrics import precision_recall_fscore_support, roc_curve, auc
import matplotlib.pyplot as plt
import numpy as np
from data.data_loader import ActivDataset, loader
from models.focal_loss import FocalLoss
from models.ete_... | [
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66,
... | 2.913644 | 579 |
from structure_helper_class import structure_helper
from model_train_helper_class import model_train_helper
import matplotlib.pyplot as plt
import pandas as pd
from tabulate import tabulate
| [
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# <<BEGIN-copyright>>
# Copyright 2021, Lawrence Livermore National Security, LLC.
# See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
# <<END-copyright>>
"""
Store and report warnings and errors in a PoPs database.
PoPs.check() returns a nested list of warning objects:
>>> ... | [
2,
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2,
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2,
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34... | 3.603239 | 247 |
from canoser import Struct, Uint8, bytes_to_int_list, hex_to_int_list
from libra.transaction.transaction_argument import TransactionArgument, normalize_public_key
from libra.bytecode import bytecodes
from libra.account_address import Address
| [
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2673,
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34... | 3.337838 | 74 |
from Calculators.Division import division
| [
6738,
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13,
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1166,
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7297,
628
] | 4.777778 | 9 |
from collections import defaultdict
N, M, T = read_line_to_list()
candies_ = [read_line_to_list() for _ in range(N)]
collector = CollectCandies(N, M, T, candies_)
print collector.get_max_sum()
| [
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... | 2.689189 | 74 |
# ----------------------------------------------------------------------
# |
# | __init__.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2018-02-18 14:37:39
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2018.
# | Distribute... | [
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... | 2.402404 | 3,827 |
# Databricks notebook source exported at Mon, 14 Mar 2016 03:21:05 UTC
# MAGIC %md
# MAGIC **SOURCE:** This is from the Community Edition of databricks and has been added to this databricks shard at [/#workspace/scalable-data-science/xtraResources/edXBigDataSeries2015/CS100-1x](/#workspace/scalable-data-science/xtraRes... | [
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25,
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... | 2.7 | 1,190 |
from unittest import mock
import astropy.units as u
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pytest
from einsteinpy.coordinates import SphericalDifferential
from einsteinpy.plotting import StaticGeodesicPlotter
def test_plot_calls_draw_attractor_Manualscale(dummy_data):... | [
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... | 2.597444 | 313 |
#from inv_ind.py import inverted_index
import search
| [
2,
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] | 3.4375 | 16 |
from enum import Enum
import typer
from fasta_reader import read_fasta
from deciphon_cli.core import ScanPost, SeqPost
from deciphon_cli.requests import get_json, get_plain, post_json
__all__ = ["app"]
app = typer.Typer()
| [
6738,
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20937,
6307,
11,
1001,
80,
6307,
198,
6738,
875,
13323,
... | 2.788235 | 85 |
import torch
import torch.nn as nn
from torch.hub import load_state_dict_from_url
| [
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13,
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3440,
62,
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62,
11600,
62,
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62,
6371,
628,
198
] | 3.111111 | 27 |
from portfolio.models import Transaction, Security, Price, Account
from portfolio.models import PriceTracker
from django.contrib import admin
admin.site.register(Transaction)
admin.site.register(Security)
admin.site.register(Price)
admin.site.register(PriceTracker)
admin.site.register(Account)
| [
6738,
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1... | 3.844156 | 77 |
import os
import shutil
| [
11748,
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] | 3.571429 | 7 |
""" The components module has all optical components that are used in optics
"""
| [
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628,
198,
220,
220,
220,
220,
198,
220,
220,
220,
220,
198
] | 3.357143 | 28 |
from twisted.internet.defer import succeed
from twisted.internet.task import Clock
from twisted.trial.unittest import TestCase
from txraft import Entry, RaftNode, MockRPC, STATE
from txraft.commands import AppendEntriesCommand, RequestVotesCommand
| [
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1... | 3.657143 | 70 |
import os, sys
sys.path.append(os.path.expanduser("~/workspace/"))
from pyutils.common import *
if __name__ == "__main__":
BASE_DIR = "/nvme/log/p/2021-02-01/"
# load_all_fe_metrics(f"{BASE_DIR}/0124/aws_CDN_akamai2_expLatency_unavail0_1000G/", system="CDN")
# load_all_fe_metrics(f"{BASE_DIR}/0124... | [
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198,
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... | 1.920313 | 640 |
"""
Django settings for ToDo project.
Generated by 'django-admin startproject' using Django 1.11.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os
# ... | [
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517,
1321,
319,
428,
2393,
11,
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198,
5450,
1378,
... | 2.330691 | 1,766 |
from . import (
canopy,
evapotranspiration,
radiation,
snow,
soil,
)
| [
6738,
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198,
220,
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220,
220,
220,
6729,
11,
198,
220,
220,
220,
9260,
11,
198,
8,
198
] | 2.170732 | 41 |
from django.urls import path
from django_security_headers_example.core.views import LandingPageView
urlpatterns = [
path("", view=LandingPageView.as_view(), name="landing_page"),
]
| [
6738,
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82,
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685,
198,
220,
220,
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3108,
7203,
1600,
1570... | 3.032258 | 62 |
from __future__ import absolute_import
import mock
import pytest
import pandas as pd
from collections import OrderedDict
from sagemaker.analytics import ExperimentAnalytics
| [
6738,
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14230,
1068,
35,
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198,
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6738,
45229,
32174,
13,
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14094,
13... | 3.72 | 50 |
# Generated by Django 2.1.7 on 2019-04-04 12:15
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
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13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
42625,
14... | 3.019231 | 52 |
# coding:utf-8
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils import clip_grad_norm_
from torch.utils.data import DataLoader
from tqdm import tqdm
import numpy as np
import math
import re
import sys
from Vocab import Vocab
from Dataset import Dataset
from RNN_RNN import RNN_R... | [
2,
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25,
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12,
23,
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198,
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13,
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77,
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13,
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519,
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1330,
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62,
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62,
27237,
62,
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... | 2.689655 | 957 |
import os
from random import shuffle
import pascalvoc_to_yolo
| [
11748,
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1330,
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198,
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62,
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] | 3.315789 | 19 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2020-05-18 21:36
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| [
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834,
1330,
28000,
1098,
62,
17201,
874,
198... | 2.753623 | 69 |
#!/usr/bin/python3
import os
import sys
import syslog # FIXME: use systemd.journal.send()?
import gi
gi.require_version('Notify', '0.7')
import gi.repository.Notify # noqa: E402
__doc__ = """ an ersatz xterm that says "No!" and quits """
# Tell the central server.
# FIXME: ends up in user journ... | [
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220,
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1... | 2.85567 | 485 |
#! /usr/bin/env nix-shell
#! nix-shell -i python3 -p "[python3] ++ (with pkgs.python37Packages; [ requests future ws4py pytest pylint coveralls twine wheel ])"
# <<END Extended Shebang>>
import json
from pywebostv.discovery import *
from pywebostv.connection import *
from pywebostv.controls import *
with open('/home/... | [
2,
0,
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14,
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279,
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82,
13,
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11869,
1095,
26,
685,
7007,
2003,
... | 2.890411 | 292 |
#!/usr/bin/python
import realog.debug as debug
import lutin.tools as tools
| [
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628,
198
] | 2.925926 | 27 |
import pandas
import pytest
from covid_model_seiir_pipeline.lib.io import RegressionRoot
from covid_model_seiir_pipeline.lib.io.marshall import (
CSVMarshall,
ParquetMarshall,
)
| [
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1... | 2.567568 | 74 |
from telegram import Update
from telegram.ext import CallbackContext, CommandHandler
from bot.settings import settings
from bot.utils import get_log
from ._utils import require_owner
log = get_log(__name__)
handler = CommandHandler('settings', command)
| [
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import telegram
from telegram.ext import CommandHandler, ConversationHandler, MessageHandler, \
Filters
from civbot.commands.cmd_cancel import cancel_all
from civbot.models import User, Subscription
SELECT = 1
# noinspection PyUnusedLocal
| [
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... | 3.507042 | 71 |
# Rule nomad_run generates a runner script to execute nomad run with the given
# job file.
#
# NOTE(kfeng): This rule currently assumes that the nomad executable is
# installed on the host machine, and is in one of the directories listed in
# the PATH environment variable. In the future, this project may fetch
# the n... | [
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19... | 3.035176 | 199 |
def rmsprop_update(loss, params, grad_sq, lr=1e-1, alpha=0.8):
"""Perform an RMSprop update on a collection of parameters
Args:
loss (tensor): A scalar tensor containing the loss whose gradient will be computed
params (iterable): Collection of parameters with respect to which we compute gradients
grad_... | [
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6... | 2.99117 | 453 |
import logging
from urllib.parse import urljoin
import requests
from thomas import Item, StreamerBase, router
from unplugged import Schema, fields
from twisted.internet import threads
from ...exceptions import NotModifiedException, PathNotFoundException
from ...plugins import InputPlugin
from ...stream import Stream... | [
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from api import get_secret, get_tweepy_api, TwitterApiSecret
import json
SECRET_NAME = "TwitterAPIKeys"
| [
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# Copyright 2013-present Barefoot Networks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | [
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1... | 3.669856 | 209 |
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from model.exp_model import Experience, ExperienceSchema | [
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""" Code for turning a GAE Search query into a SOLR query. """
import logging
import sys
from constants import INDEX_NAME_FIELD, INDEX_LOCALE_FIELD
from appscale.common.unpackaged import APPSCALE_PYTHON_APPSERVER
sys.path.append(APPSCALE_PYTHON_APPSERVER)
from google.appengine.api.search import query_parser
from goo... | [
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4... | 2.80303 | 1,716 |
import sys
import pickle
if __name__ == "__main__":
create_evaluable_CAG(sys.argv[1], sys.argv[2])
| [
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19... | 2.340909 | 44 |
byt = open("xor_key.bin", "rb").read()
final = "\x00\x00\x00\x00\x6A\x00\x6A\x00\x68".encode()
final = [e for e in final]
final.append(0x26)
final.append(0xFC)
final.append(0x19)
final.append(0x00)
final.append(0x6A)
final.append(0x00)
final = [e for e in final]
final.append(0xB8)
final.append(0xC8)
final.append(0x59)
... | [
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59... | 2.097561 | 369 |
''' Incremental-Classifier Learning
Authors : Khurram Javed, Muhammad Talha Paracha
Maintainer : Khurram Javed
Lab : TUKL-SEECS R&D Lab
Email : 14besekjaved@seecs.edu.pk '''
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
def resnet_rebuffi(n=5):
r... | [
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50... | 2.658915 | 129 |
# -*- coding: utf-8 -*-
"""
IO
~~~~~~~~~~~~~~~~~~~
A Python module for Input and Ouput interactions
:copyright: (c) 2020 Killian Mah
:license: MIT, see LICENSE for more details.
"""
__title__ = 'io'
__author__ = 'Killian Mah'
__license__ = 'MIT'
__copyright__ = 'Copyright 2020 Killian Mah'
__version__ = '0.0.1'
f... | [
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25,
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66,
8,
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12265,... | 2.963235 | 136 |
''' Tools for dealing with multithreaded programs. '''
from concurrent.futures import ThreadPoolExecutor, as_completed
from nlplib.general.iterate import chunked
__all__ = ['simultaneously']
if __name__ == '__main__' :
from nlplib.general.unittest import UnitTest
__test__(UnitTest())
__demo__()
| [
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... | 2.854545 | 110 |
# Generated by Django 2.2.5 on 2019-09-28 19:25
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.818182 | 44 |
inp=input("Enter a string: ")
rev=0
while (inp>0):
dig=inp%10
rev=rev*10+dig
inp=inp//10
print(rev) | [
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1... | 1.8 | 60 |
import globals
| [
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] | 4 | 4 |
# -*- coding: utf-8 -*-
from django.db import models
from apps.registro.models.Anexo import Anexo
from django.core.exceptions import ValidationError
import datetime
| [
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1... | 2.964286 | 56 |
import os
import unittest
from rosie import Rosie
from rosie import DocumentNotFound
# from test import create
# create(100)
| [
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# @file
#
# FadZmaq Project
# Professional Computing. Semester 2 2019
#
# Copyright FadZmaq 2019 All rights reserved.
# @author Lachlan Russell 22414249@student.uwa.edu.au
# @author Jordan Russell jordanrussell@live.com
import json
# Tests that the server is up at all.
# Not implemented
# N... | [
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... | 3.026846 | 149 |
import inspect
import subprocess
import tempfile
from copy import copy
from weakref import WeakKeyDictionary
import piexif
import pyheif
from cffi import FFI
from PIL import Image, ImageFile
from pyheif.error import HeifError
ffi = FFI()
_keep_refs = WeakKeyDictionary()
pyheif_supports_transformations = (
'trans... | [
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1330,... | 2.606904 | 898 |
from cloc import grp, cmd, opt, arg, mixins
from cloc.types import Choices
"""Test Code ->"""
class UserCmds(mixins.List, mixins.Echo):
u = UserCmds(users=['user1', 'user2'])
user2 = UserCmds(users=['user1', 'user2', 'user3'])
perms = PermissionCmds(roles=['admin', 'user', 'dev'], services=['test_service1'])
cli... | [
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... | 2.471698 | 212 |
#!/usr/bin/env python3
import os
os.system("openocd -f wukong.cfg -c 'init; pld load 0 build/top.bit; exit' ")
| [
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6,
366... | 2.413043 | 46 |
import json
import time
from utils.helper import RedisClient
from paho.mqtt.client import MQTT_ERR_SUCCESS
import paho.mqtt.client as mqtt
from utils.date_time import TimeMeasure
import tasks as tasks_mqtt
from utils.message import MsgShadowGet, MsgShadowUpdate
import logging
logger = logging.getLogger()
logger.setL... | [
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... | 2.91453 | 117 |
# simple servo test for PCA9685 with HS422
from servo.servo import *
from time import sleep
pca = PCA9685()
pca.setZero(0)
sleep(2)
for a in xrange(-67,67,1):
pca.setAngle(0,a)
sleep(0.05)
for a in xrange(67,0,-1):
pca.setAngle(0,a)
sleep(0.05)
| [
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24,
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220,
198,
79,
6888,
13,
2617,
286... | 2.107438 | 121 |
items = input().split("|") # items to buy
budged = int(input())
profit = 0
profit_price_list = []
profit_list = []
profit_price = 0
for index in items:
profit = 0
profit_price = 0
separator = index.split("->")
if separator[0] == "Clothes":
if not 0 < float(separator[1]) <= 50:
co... | [
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176... | 2.448763 | 566 |
from rest_framework import viewsets
from rest_framework.serializers import ValidationError
from .models import Address
from .serializers import AddressSerializer
from lims.permissions.permissions import IsAddressOwner, IsAddressOwnerFilter
from lims.shared.mixins import AuditTrailViewMixin
| [
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... | 4.083333 | 72 |
'''
Created on Sep 8, 2018
Use autocropFaces() to crop out the material around faces in an image,
where the faces are automatically detected.
See the bottom for an example use script.
Used this as a starting reference point:
https://docs.opencv.org/3.3.0/d7/d8b/tutorial_py_face_detection.html
@author: tmahrt
'''
i... | [
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329,... | 2.229367 | 3,126 |
# -*- coding: utf-8 -*-
"""MultistageDdecWorkChain workchain"""
from __future__ import absolute_import
from aiida.plugins import CalculationFactory, DataFactory, WorkflowFactory
from aiida.common import AttributeDict
from aiida.engine import WorkChain, ToContext
# import sub-workchains
Cp2kMultistageWorkChain = Work... | [
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'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | [
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import sys
import time
from itertools import chain
from pathlib import Path
import nbformat
import notedown
if __name__ == "__main__":
assert len(sys.argv) >= 2, "usage: input.md"
here = Path(".")
files = list(chain.from_iterable(map(here.glob, sys.argv[1:])))
for file in files:
convert(f... | [
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... | 2.620968 | 124 |
from .tu_simple_lane import TusimpleLane | [
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import turtle as t
n = 50
t. bgcolor("black")
t. color("green")
t. speed(0)
for x in range(n):
t. circle(80)
t. lt(360/n)
| [
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220,... | 1.860759 | 79 |
from .dashboard_menu import * | [
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# The 3-Clause BSD License
# Copyright (C) 2019, KessK, all rights reserved.
# Copyright (C) 2019, Kison.Y, all rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:Redistribution and use in source and binary ... | [
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