content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
# Copyright (c) 2013 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | [
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15... | 3.975 | 160 |
import os
_ROOT = os.path.abspath(os.path.dirname(__file__))
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"""
Usage:
briltag insertdata [options]
Options:
-h --help Show this screen.
-c CONNECT Service name [default: onlinew]
-p AUTHPATH Authentication file
--name TAGNAME Name of the data tag
--comments COMMENTS Comments on the t... | [
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from rendering.manager import *
from rendering.scenes import *
from rendering.training import *
import random
import glm
import os
import numpy as np
import math
__VOLUME_RECONSTRUCTION_SHADERS__ = os.path.dirname(__file__)+"/shaders/VR"
compile_shader_sources(__VOLUME_RECONSTRUCTION_SHADERS__)
| [
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# test
if __name__ == '__main__':
print(_merge_sort([1, 3, 2])) | [
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# - *- coding: utf- 8 - *-
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
options = Options()
options.headless = True
path = 'path/to/chromedriver.exe' # You need to change this
parser()
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import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
t = np.linspace(0, 5, 500)
s0 = 0.5
v0 = 2.0
a = 1.5
s_noise = 0.5 * np.random.normal(size=t.size)
s = cinematica(t,s0,v0,a)
sdata = s + s_noise
coefs, pcov = curve_fit(cinematica, t, sdata)
plt.plot(t, sdata, 'b-', label='D... | [
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import pandas as pd
import numpy as np
import optuna
import xgboost
train = pd.read_csv("~/kaggledatasets/riiid-test-answer-prediction/train.csv", nrows=3e6,
dtype={'row_id': 'int64',
'timestamp': 'int64',
'user_id': 'int32',
... | [
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292,
1039,... | 1.606195 | 452 |
from typing import Optional, Dict
from pathlib import Path
from copy import deepcopy
from tqdm import tqdm
import torch as pt
from torch import Tensor, nn
from torch.optim import Adam
| [
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from django.db import models
from django.conf import settings
from django.db.models.signals import post_save
def user_was_created(sender, instance, created, ** kwargs):
""" Listen for when a user is creted and create a profile"""
created and Profile.objects.create(
user=instance, username=instance.us... | [
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import numpy as np
# Compute normalized mutual information between two parcellations z1 and z2
# (Approximately) return whether an array is symmetric | [
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] | 4.081081 | 37 |
import pytest
from xigt import XigtCorpus, Igt, Tier, Item, Metadata, Meta, MetaChild
from xigt.errors import XigtError, XigtStructureError
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... | 2.773585 | 53 |
from django.http import JsonResponse | [
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] | 3.7 | 10 |
from sensor import Sensor
from stepper import Stepper
sensor = Sensor()
stepper = Stepper(100)
#stepper.start()
while True:
print(sensor.measure())
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# Generated by Django 2.2.4 on 2019-08-18 16:16
from django.db import migrations
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#
# PySNMP MIB module HP-ICF-IPV6-RA-GUARD-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-ICF-IPV6-RA-GUARD-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:34:21 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.... | [
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from transformers import RobertaTokenizer
tokenizer = RobertaTokenizer.from_pretrained("roberta-base") | [
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import numpy as np
from .fasthist import hist2d
stdquant = np.ndarray(13)
stdquant[0] = (0.0000316712418331200) #-4 sdev
stdquant[1] = (0.0013498980316301000) #-3 sdev
stdquant[2] = (0.0227501319481792000) #-2 sdev
stdquant[3] = (0.05)
stdquant[4] = (0.1586552539314570000) #-1 sdev or lsdev
stdquant[5] = (0.25) ... | [
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# coding: utf-8
"""
Copyright 2016 SmartBear Software
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... | [
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from sys import stdin
for line in stdin:
n = int(line)
if n == 42:
break
print(n)
| [
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# -*- coding: utf-8 -*-
if __name__=="__main__":
print(remainder(20,7))
print(remainder(20,divisor=7))
print(remainder(number=20,divisor=7))
print(remainder(divisor=7,number=20))
print(flow_rate(0.5,3))
print(flow_rate(6,3,100))
| [
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##############################
## cread purified h5ad file ##
##############################
# input: annotation table and the whole expression profile
# output: purified h5ad file
import os
import pandas as pd
import anndata
import argparse
import gc
import numpy as np
parser = argparse.ArgumentParser(description='... | [
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# -*- coding: utf-8 -*-
"""
Created on Thu Nov 29 13:56:44 2018
@author: RomanGutin
"""
import pandas as pd
import numpy as np
#Frequency Tuning Loop
amino_letter = ['A','R','D','N','C','E','Q','G','H','I','L','K','M','F','P','S','T','W','Y','V']
length_scores =[4,8,6,6,5,7,7,4,7,5,6,8,7,8,5,5,5,9,8,5]
FM_df = pd.Dat... | [
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from kafka import KafkaConsumer
| [
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] | 4 | 8 |
# utilities
import os
from re import sub
import uuid
import subprocess
# Image To Pdf
import img2pdf
# PDF To Images
from pdf2image import convert_from_path
# PDF To Word
from pdf2docx import parse
_BASE_DIR = os.getcwd()
_BASE_DIR_FILE = os.path.join(_BASE_DIR, "files")
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from kivy.uix.screenmanager import Screen
from kivy.properties import StringProperty, ObjectProperty, NumericProperty, ListProperty, BooleanProperty
from kivy.app import App
from kivy.logger import Logger
from library_widgets import TrackingScreenMixin
from utils import import_kv
import_kv(__file__)
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"""Train logistic regression model on hdf5 features for classification
Modified from:
https://gurus.pyimagesearch.com/topic/transfer-learning-example-dogs-and-cats/
"""
import pickle
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import classification_report
def train_model(h5py_db, mod... | [
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2... | 2.627119 | 472 |
import pandas as pd
v_4 = pd.read_csv('50/predictions_dev_queries_50k_normalized_exp.csv')
temp = list(v_4['query_id'])
v_4['query_id'] = list(v_4['reference_id'])
v_4['reference_id'] = temp
v_5 = pd.read_csv('ibn/predictions_dev_queries_50k_normalized_exp.csv')
temp = list(v_5['query_id'])
v_5['query_id'] = list(v_5... | [
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7,... | 2.092747 | 841 |
from src.utils.cache import cache
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] | 3.6 | 10 |
from threading import Thread
from flask_mail import Mail, Message
from resources.errors import InternalServerError
mail = Mail(app=None)
app = None
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7,
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28,
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198,
1324,
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6045,
628,
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] | 3.897436 | 39 |
import base64
import json
from OpenSSL.SSL import (
VERIFY_PEER, VERIFY_FAIL_IF_NO_PEER_CERT, VERIFY_NONE,
SSLv3_METHOD, SSLv23_METHOD, TLSv1_METHOD)
from twisted.web.http_headers import Headers
from twisted.internet.defer import inlineCallbacks, fail, succeed
from vxsandbox.resources.http import (
HttpC... | [
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4146,
62,
5064,
62,
15285,
62,
11401,
1137,
62,
34,
17395,
... | 2.88024 | 167 |
from lightutils import get_free_tcp_port
port = get_free_tcp_port()
print(port)
print(type(port))
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62,
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13155,
62,
634,
198,
198,
634,
796,
651,
62,
5787,
62,
83,
13155,
62,
634,
3419,
198,
4798,
7,
634,
8,
198,
4798,
7,
4906,
7,
634,
4008,
198
] | 2.605263 | 38 |
from .accessor import Accessor
from . import parsers
import inspect
def populateAccessors():
"""
Find all filetype-specific Accessor subclasses in the parsers file (i.e. NVSPL, SRCID, etc.) and instantiate them.
This way, one instance of each Accessor is added to the soundDB namespace under the name of th... | [
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220,
220,
220,
9938,
477,
2393,
4906,
12,
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8798,
273,
85... | 3.281818 | 220 |
from datetime import datetime
from sqlalchemy import (
Column,
Integer,
Text,
DateTime,
SmallInteger,
BigInteger,
String,
Date,
ForeignKey,
UniqueConstraint
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy.... | [
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220,
220,
29201,
11,
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220,
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34142,
11,
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8255,
11,
198,
220,
220,
220,
7536,
7575,
11,
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220,
220,
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10452,
... | 2.708108 | 185 |
import nose
import os
from ogcserver.WMS import BaseWMSFactory
| [
11748,
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] | 3.315789 | 19 |
from django.db import models
from .base import Base
| [
198,
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198,
6738,
764,
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] | 3.6 | 15 |
import setuptools
try:
with open('README.md', 'r') as fh:
long_description = fh.read()
except:
long_description = ''
setuptools.setup(
name='blackout',
version='1.0.4',
author='Mike Malinowski',
author_email='mike@twisted.space',
description='A python package making it... | [
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220,
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890,
62,
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796,
... | 2.482759 | 348 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import argparse
from subprocess import call
from .vk_music import VkMusic
from .exceptions import AlreadyRunningError
from .defaults import SafeFsStorage
if __name__ == '__main__':
main()
| [
2,
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14,
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1... | 2.93 | 100 |
__author__ = "Jens Honer"
__copyright__ = "Copyright 2018, Jens Honer Tracking Toolbox"
__email__ = "-"
__license__ = "mit"
__version__ = "1.0"
__status__ = "Prototype"
import numpy as np
_bbox_sign_factors = np.asarray(
[
[1.0, 1.0],
[0.0, 1.0],
[-1.0, 1.0],
[... | [
834,
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834,
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834,
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366,
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1,
19... | 1.622776 | 281 |
from .base import * # noqa
DEBUG = True
SECURE_SSL_REDIRECT = False
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = "CHANGEME!!!"
# Enable FE component library
PATTERN_LIBRARY_ENABLED = True
INTERNAL_IPS = ("127.0.0.1", "10.0.2.2")
BASE_URL = "http://localhost:8000"
# URL to dire... | [
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2,
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9050,
39410,
25,
1394,
262,
3200,
1994,
973,
287,
3227,
320... | 2.664615 | 325 |
import swig_example
swig_example.swig_example_hello()
swig_example.link_liba_hello() | [
11748,
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62,
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198,
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198,
2032,
328,
62,
20688,
13,
8726,
62,
8019,
64,
62,
31373,
3419
] | 2.709677 | 31 |
from torch.utils.data import Dataset
from torchvision.transforms import transforms
from sklearn.model_selection import train_test_split
import os
import glob
import torch
import numpy as np
from PIL import Image
import pdb
| [
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19... | 3.75 | 60 |
# Generated by Django 3.1.7 on 2021-04-15 22:46
from django.db import migrations, models
| [
2,
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1330,
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602,
11,
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628
] | 2.84375 | 32 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
| [
2,
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] | 2.891892 | 37 |
from tutils import pdb
from tutils import subprocess
from tutils import Counter
from tutils import partial
from tutils import reduce
from tutils import wraps
from tutils import count
from tutils import groupby
from tutils import product
from tutils import prod
from tutils import itemgetter
from tutils import Path
from ... | [
6738,
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4487,
1330,
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198,
6738,
9732,
... | 3.513158 | 684 |
from setuptools import setup
setup(
name='weather',
version='0.1',
description='CLI frontend for querying weather',
packages=['weather'],
entry_points={
'console_scripts': ['weather = weather.__main__:main']
},
author='Aleksi Kauppila',
author_email='aleksi.kauppila@gmail.com'
)... | [
6738,
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7,
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220,
220,
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11639,
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40,
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437,
329,
42517,
1112,
6193,
... | 2.523438 | 128 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import *
admin.site.register(CharacterEvent)
admin.site.register(Event)
admin.site.register(CharacterOwner)
admin.site.register(Character)
admin.site.register(User, UserAdmin)
| [
6738,
42625,
14208,
13,
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198,
6738,
42625,
14208,
13,
3642,
822,
13,
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13,
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1330,
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198,
6738,
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198,
198,
28482,
13,
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13,
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7,
27275,
9237,
8,
198,
28482,
... | 3.3875 | 80 |
#coding=utf-8
import tkinter as tk
from tkinter import ttk
from tkinter import scrolledtext
from tkinter import messagebox as mBox
from tkinter import filedialog
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib.pyplot as plt
import datetime
i... | [
2,
66,
7656,
28,
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12,
23,
198,
198,
11748,
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198,
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256,
74,
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1330,
3275,
3524,
355,
285,
14253... | 2.307522 | 2,260 |
"""Example of assigning a variable."""
user_name = input("What is your name? ")
| [
37811,
16281,
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257,
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198,
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62,
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796,
5128,
7203,
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318,
534,
1438,
30,
366,
8,
198
] | 3.478261 | 23 |
from .common import layers, grid, plotter, DEFAULT_COLORS, set_axes_equal
from .atoms import plot_atoms, plot_points
from .SiteNetworkPlotter import SiteNetworkPlotter
from .SiteTrajectoryPlotter import SiteTrajectoryPlotter
| [
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62,
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11,
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62,
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198,
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6738,
764,
29123... | 3.304348 | 69 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2017-2022 Anderson Bravalheri, Univertity of Bristol
# High Performance Networks Group
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Yo... | [
2,
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2,
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2,
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72,
11,
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83,
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286,
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198,
2,
220,
220,
22... | 3.210526 | 228 |
"""
Python 2/3 Compatibility
========================
Not sure we need to support anything but Python 2.7 at this point , but copied
this module over from flask-peewee for the time being.
"""
import sys
PY2 = sys.version_info[0] == 2
if PY2:
text_type = unicode
string_types = (str, unicode)
unichr = u... | [
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329,
262,
... | 2.754601 | 163 |
# from discord.ext.commands import Cog
# from discord_slash import SlashContext, cog_ext
# from discord_slash.utils.manage_commands import create_option
#
#
# class TicTacToeAI(Cog):
# def __init__(self, client):
# self.client = client
#
# @cog_ext.cog_subcommand(
# base="tictactoe",
# b... | [
2,
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13,
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13,
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2,
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13,
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13,
805,
496,
62,
9503,
1746,
1330,
2251,
62,
180... | 2.055556 | 432 |
"""This module defines the karma_test rule."""
load("@infra-sk_npm//@bazel/typescript:index.bzl", "ts_library")
load("@infra-sk_npm//@bazel/rollup:index.bzl", "rollup_bundle")
load("@infra-sk_npm//karma:index.bzl", _generated_karma_test = "karma_test")
def karma_test(name, srcs, deps, entry_point = None):
"""Runs... | [
37811,
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262,
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198,
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25,
9630,
13,
65,
48274,
1600,
366,
912,
62,
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4943,
19... | 2.275524 | 1,430 |
from fileutils.fileutils import save_output_to_file, select_option_from_menu
| [
6738,
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26791,
13,
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3613,
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11,
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62,
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62,
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62,
26272,
628
] | 3.391304 | 23 |
import xallennlp.training.mlflow_callback
import xallennlp.training.mlflow_checkpointer
| [
11748,
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13,
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13,
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9319,
62,
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29536,
198
] | 3.034483 | 29 |
# -*- coding: utf-8 -*-
"""colabUtil.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1KX9x-rqyj0XfUkLtfOVh8t8T_kW0hs0u
#Colab Util
This is a collection of utility functions that simplifies data science researchin using colab. I wrote this while ... | [
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532,
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25,
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69,
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2870,
13,
198,
198,
20556,
2393,
318,
5140,
379,
198,
220,
220,
220,
374... | 2.90841 | 2,271 |
"""
Base common features for product readers
"""
__classification__ = "UNCLASSIFIED"
__author__ = "Thomas McCullough"
from typing import Sequence, List, Tuple, Union
from sarpy.io.general.base import AbstractReader
from sarpy.io.product.sidd1_elements.SIDD import SIDDType as SIDDType1
from sarpy.io.product.sidd2_el... | [
37811,
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1,
628,
198,
6738,
19720,
1330,
45835,
11,
7343,
11,
309,
29291,
... | 2.869863 | 146 |
from django.conf import settings
from redis import StrictRedis
from rest_framework.response import Response
from rest_framework.views import APIView
from PersonManage.role.models import Role
from PersonManage.role.serializer import OneRole, ManyRole
from PersonManage.jurisdiction.models import Jurisdiction
| [
6738,
42625,
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13,
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62,
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13,
33571,
1330,
3486,
3824,
769,
198,
6738,
7755,
5124,
496,
... | 3.8625 | 80 |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See LICENSE file distributed along with the datalad_osf package for the
# copyright and license terms.
#
# ## ##... | [
2,
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25,
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532,
9,
12,
198,
2,
409,
25,
900,
39747,
28,
19,
40379,
... | 2.419355 | 1,550 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains Qt observer pattern related functions and classes
"""
from __future__ import print_function, division, absolute_import
from uuid import uuid4
from functools import partial
from Qt.QtCore import Signal, QObject
| [
2,
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14,
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198,
2,
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290,
6097,
198,
37811,
198,
198,
6738,
11593,
37443,
... | 3.404762 | 84 |
"""Advent of Code 2019 Day 12."""
from functools import lru_cache
import re
def simulate_steps(moons, steps=None):
"""Simulate number steps of moons.
Returns moons after number of steps.
If steps is None returns cycles of moons."""
cycles = {}
initial_moons = moons
step = 0
while not ste... | [
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1151,
286,
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526,
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198,
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62,
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62,
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7,
5908,
684,
11,
4831,
28,
14202,
2599,
198,
220,
220,
220,
... | 2.34375 | 1,248 |
from django.utils.encoding import force_text
from django.utils.text import slugify
try:
from rest_framework.serializers import ManyRelatedField
except ImportError:
ManyRelatedField = type(None)
try:
from rest_framework.serializers import ListSerializer
except ImportError:
ListSerializer = type(None)
... | [
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... | 2.903981 | 427 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Ui_ZhkuMainWindow.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import Qt... | [
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6,
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2,
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2,
15622,
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... | 2.888 | 125 |
from django.apps import AppConfig
| [
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1330,
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628
] | 3.888889 | 9 |
import numpy as np
from pyNTCIREVAL import Labeler
from pyNTCIREVAL.metrics import MSnDCG
from collections import defaultdict
from ntcir15_tools.data import en_query_ids, ja_query_ids, en_labels, ja_labels
| [
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38,
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6738,
17268,
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4277,
11600,
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... | 2.971429 | 70 |
from .contrastive import SupConLoss, NoiseConLoss
| [
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1330,
5200,
3103,
43,
793,
11,
30964,
3103,
43,
793,
198
] | 3.125 | 16 |
C = int(input("Insira um valor: "))
Fire = (9 * C / 5) + 32
print(Fire) | [
34,
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493,
7,
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7203,
20376,
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25,
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8
] | 2.290323 | 31 |
"""
filename: test.py
author: Supriya Sudarshan
version: 19.04.2021
description: Takes in the images and predicts (Covid or Non-Covid/Normal) using the *.h5 models
"""
import numpy as np
import matplotlib.pyplot as plt
import os
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing impor... | [
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3... | 2.532468 | 847 |
"""Problem 41 of https://projecteuler.net"""
from itertools import permutations
from projecteuler.inspectors import is_prime
def problem_41():
"""Solution to problem 41."""
# All 8 and 9 digit pandigitals are divisible by 3.
perms = [int(''.join(x)) for x in permutations('1234567')]
return max(x for... | [
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669,
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318,
62,
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628,
198,
4299,
1917,
62,
3901,
335... | 2.92437 | 119 |
import re
import numpy as np
from tqdm import tqdm
from ..decorators import print_step
from multiprocessing import Pool
# Compiling for optimization
re_sub_1 = re.compile(r"(:(?=\s))|((?<=\s):)")
re_sub_2 = re.compile(r"(\d+\.)+\d+")
re_sub_3 = re.compile(r"\d{2}:\d{2}:\d{2}")
re_sub_4 = re.compile(r"Mar|Apr|Dec|Jan|... | [
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305,
919,
278,
1330,
19850,
628,
198,
2,
3082,
4386,
329,
239... | 1.95122 | 246 |
import os
from dataset.data_config import DataConfig
images_data_base_dir = os.path.abspath('../../../data/datasets_coco/')
data_conf = {
DataConfig.IMAGE_BASEDIR: images_data_base_dir,
DataConfig.TRAIN: [
{
DataConfig.NICKNAME: 'decay_train',
DataConfig.AN... | [
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13,
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776,
10786,
40720,
40720,
40720,
7890,
14,
19608,
292,
1039,
62,
66,
256... | 1.614224 | 2,784 |
from django.urls import reverse
from projectroles.tests.test_permissions import TestProjectPermissionBase
from beaconsite.tests.factories import ConsortiumFactory, SiteFactory
| [
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198,
198,
6738,
307,
37256,
578,
13,
41989,
13,
22584,
1749,
1330,
42727,
22810,
11,
14... | 3.934783 | 46 |
from django.forms import ModelForm
from backend.models import Image, Image2
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
| [
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341,
8479,
198,
6738,
42625,
14208,
13,
3642,
822,... | 3.690909 | 55 |
"""
Created on Mar 7 2018
@author: MCC
"""
from ctypes import (CDLL, CFUNCTYPE, Structure, c_uint, c_int, c_longlong,
POINTER, c_double, c_char, py_object, c_ulonglong, cast,
c_char_p, c_byte)
from enum import IntEnum
from .ul_structs import DaqDeviceDescriptor, AiQueueElement, ... | [
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... | 2.320205 | 4,291 |
"""
Given a Singly Linked List which has data members sorted in ascending order.
Construct a Balanced Binary Search Tree which has same data members as the given Linked List.
"""
from typing import Optional
from binary_tree_node import Node # type: ignore
from tree_traversal import inorder # type: ignore
if __n... | [
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... | 2.592593 | 297 |
import numpy as np
import matplotlib.pyplot as plt
from modules.conversions import enu2uvw
data = np.load("uv-array.npy")
e = data[0,:].transpose()
n = data[1,:].transpose()
uvarray = []
for i in range(120):
u,v = enu2uvw( wavelength=1.690,
hour_angle=i/30,
declination=... | [
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13,
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12,
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... | 1.7375 | 320 |
# Author: Bishal Sarang
import json
import os
import pickle
import time
import bs4
import colorama
import requests
from colorama import Back, Fore
from ebooklib import epub
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
fro... | [
2,
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25,
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275,
82,
19,
201,
198,
11748,
3124,
1689,
201,
198,
11748,
7007,
201... | 3.011561 | 346 |
# Adapted from Magenta console commands
import os
from magenta.models.arbitrary_image_stylization import arbitrary_image_stylization_build_model as build_model
from magenta.models.image_stylization import image_utils
import numpy as np
import tensorflow.compat.v1 as tf
import tf_slim as slim
magenta_model = Magenta... | [
2,
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62,
9060,
62,
301,
2645,
1634,
62,
11249,
62,
19849,
355,
1382,
... | 2.454545 | 308 |
import re
from pathlib import PurePosixPath
from typing import TYPE_CHECKING, Optional, Type
from lisa.executable import Tool
from lisa.tools.ls import Ls
from lisa.tools.mkdir import Mkdir
from lisa.tools.powershell import PowerShell
from lisa.tools.rm import Rm
from lisa.util import LisaException, is_valid_url
if T... | [
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62,
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11,
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13,
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18187,
1330,
16984,
198,
6738,
300,
9160,
13,
31391,
13,
7278,... | 3.220339 | 118 |
# Load other business attributes and set meta prefix
from pandas.io.json import json_normalize
flat_cafes = json_normalize(data["businesses"],
sep="_",
record_path="categories",
meta=['name',
'alias',
... | [
2,
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62,
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1096,
7,
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14692,
22680,
274,
33116,
198,
220,
... | 1.751961 | 1,020 |
import sys
infn = sys.argv[1]
outfn = infn.split(".py")[0]+"_INST.py"
code = []
for l in open(infn):
code.append(l)
outf = open(outfn, 'w')
outf.write("import covertool\n")
ln = 0
inComment = False
justEnded = False
currentIndent = 0
lineIndent = 0
okChangeIndent = False
skipNext = False
doNotInstrument = ["cl... | [
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7,
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1,
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13,
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1,
198,
198,
8189,
796,
17635,
198,
198,
1640,
300,
2... | 2.010444 | 1,149 |
import json
import os
import sys
import time
try:
from urlparse import urlparse
except ImportError:
# python3
from urllib.parse import urlparse
from django.conf.urls import url
from django.conf.urls.static import static
from django.http import HttpResponse, Http404
from django.shortcuts import render_to_re... | [
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220,
220,
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19016,
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29572,
198,
16341,
17267,
12331,
25,
198,
220,
220,
220,
1303,
21015,
18,
198,
220,
220,
220,
422,
... | 2.386322 | 1,623 |
import cocotb
from cocotb.clock import Clock
from cocotb.triggers import ClockCycles, RisingEdge, FallingEdge, NextTimeStep, ReadWrite
N = 16
test_input = list(range(N))
# FIXME add more unit tests here
| [
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65,
13,
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328,
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5427,
11,
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37021,
11,
42914,
37021,
11,
7406,
7575,
8600,
11,
4149,
16594,
198,
198,
45,
... | 2.957746 | 71 |
from django.shortcuts import render, redirect
from notes.app.forms import ProfileForm, NoteForm, NoteDeleteForm
from notes.app.models import Profile, Note
| [
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13,
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13,
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1330,
13118,
11,
5740,
628,
628,
6... | 3.790698 | 43 |
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 2 00:56:18 2019
@author: tang
"""
seed=102
vocab="vocab.bin"
train_file="train.bin"
dropout=0.3
hidden_size=256
embed_size=100
action_embed_size=100
field_embed_size=32
type_embed_size=32
lr_decay=0.5
beam_size=5
patience=2
lstm='lstm'
col_att='affine'
model_name='wiki'
... | [
2,
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9,
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319,
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25,
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25,
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31,
9800,
25,
13875,
198,
37811,
198,
28826,
28,
15377,
198,
18893,
397,
2625,
... | 2.140988 | 688 |
import unittest
from django.test import Client
| [
11748,
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395,
198,
6738,
42625,
14208,
13,
9288,
1330,
20985,
628,
628
] | 3.571429 | 14 |
import unittest
from unittest.mock import patch
from jc_decrypter.main import process, main
| [
11748,
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474,
66,
62,
12501,
563,
42104,
13,
12417,
1330,
1429,
11,
1388,
628,
198
] | 3.064516 | 31 |
import mock
| [
11748,
15290,
628
] | 4.333333 | 3 |
import datetime
from template_maker.database import db
from template_maker.generator.models import DocumentBase, DocumentPlaceholder
from template_maker.builder.models import TemplateBase, TemplatePlaceholders
from template_maker.data.placeholders import get_template_placeholders
def get_all_documents():
'''
R... | [
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62,
10297,
13,
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1352,
13,
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1330,
16854,
14881,
11,
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27271,
13829,
198,
6738,
11055,
62,
10297,
13,
38272,
13,
27530,
1330,
37350,
... | 3.267742 | 310 |
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from .config import settings
SQLALCHEMY_DATABASE_URL = 'postgresql://{user}:{password}@{host}:{port}/{db}'.format(
user=settings.DB_USER,
password=settings.DB_PASSWORD,
hos... | [
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62,
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198,
6738,
44161,
282,
26599,
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579,
1330,
6246,
10297,
198,
6738,
44161,
282,
26599,
13,
2302,
13,
32446,
283,
876,
1330,
2377,
283,
876,
62,
8692,
198,
198,
6738,
764,
11250,
1330,
6... | 2.257202 | 486 |
import scrapy
from scrapy.selector import Selector
from katph.items import StackItem
| [
11748,
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88,
198,
6738,
15881,
88,
13,
19738,
273,
1330,
9683,
273,
198,
6738,
479,
265,
746,
13,
23814,
1330,
23881,
7449,
628
] | 3.583333 | 24 |
# Generated by Django 4.0.1 on 2022-02-07 17:53
import django.core.validators
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
604,
13,
15,
13,
16,
319,
33160,
12,
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12,
2998,
1596,
25,
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198,
198,
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13,
7295,
13,
12102,
2024,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.95122 | 41 |
import numpy as np
from walkers import ScalableWalker
DEFAULT_SCENE = "scenes/walker.ttt"
DEFAULT_WALKER = ScalableWalker
N_MRPH_PARAMS = [3, 3, 6]
N_CTRL_PARAMS = [4, 8, 8]
MORPHOLOGY_BOUNDS = [
[[0.7] * 3, [1.4] * 3],
[[0.7] * 3, [1.4] * 3],
[[0.7] * 6, [1.4] * 6]
]
CONTROLLER_BOUNDS = [
[[1, -np... | [
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364,
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198,
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from solid import *
from solid.utils import *
import util
from util import inch_to_mm, tube, ABIT, corners, pipe
from fixings import M3
from math import tan, radians
"""
Sub-miniature analog joy-sticks.
There's not much useful in documentation of their measurements.
I'm going to treat it like a sphere with a 14mm ... | [
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from typing import List
from collections import deque
def copyCoords(self):
return Line(self.start_x, self.start_y, self.end_x, self.end_y, dots=[])
def shift(self, dx=0, dy=0):
self.start_x += dx
self.start_y += dy
self.end_x += dx
self.end_y += dy
for i in ra... | [
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from hw_asr.model.baseline_model import BaselineModel, BasicLSTM, BasicGRU
from hw_asr.model.QuartzNet import QuartzNet
__all__ = [
"BaselineModel",
"BasicLSTM",
"BasicGRU",
"QuartzNet"
]
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'''**********************************************
CODE TO IMPLEMENT FISHER'S LDA -
Given two dimensional dataset with two classes 0 and 1,
Perform Fisher's LDA on the dataset,
Perform dimensionality reduction and find the suitable vector to project it onto,
Find the threshold value for separation of the two classes
**... | [
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import matplotlib.pyplot as plt
import torch
n_input = 1
# n_hidden should be very big to make dropout's effect more clear
n_hidden = 100
n_output = 1
EPOCH = 1000
LR = 0.01
torch.manual_seed(1) # reproducible
N_SAMPLES = 20
# training data
x = torch.unsqueeze(torch.linspace(-1, 1, N_SAMPLES), 1)
y = x + 0.3 * torc... | [
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"""
Twiss module.
Compute twiss parameters from amplitude & phase data.
Twiss filtering & processing.
"""
import numpy
import torch
import pandas
from scipy import odr
from .util import mod, generate_pairs, generate_other
from .statistics import weighted_mean, weighted_variance
from .statistics import median, biwei... | [
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