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<?xml version="1.0"?> | |
<gpx xmlns="http://www.topografix.com/GPX/1/1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="1.1" creator="AllTrails.com" xsi:schemaLocation="http://www.topografix.com/GPX/1/1 http://www.topografix.com/GPX/1/1/gpx.xsd"> | |
<metadata> | |
<name><![CDATA[Leuven Rome GROF v2]]></name> | |
<desc><![CDATA[]]></desc> | |
<link href="http://www.alltrails.com"> | |
<text>AllTrails, LLC</text> | |
</link> | |
<bounds minlat="41.90529" minlon="4.70136" maxlat="50.87941" maxlon="12.75231"/> | |
</metadata> |
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# /// script | |
# requires-python = ">=3.12" | |
# dependencies = [ | |
# "pandas", | |
# "scrub" | |
# ] | |
# /// | |
import sys | |
from skrub import TableReport |
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# https://github.com/andrewyng/aisuite/blob/main/examples/QnA_with_pdf.ipynb | |
import requests | |
import fitz | |
from io import BytesIO | |
# Link to paper in pdf format on the cost of avocados. | |
pdf_path = "https://arxiv.org/pdf/2104.04649" | |
pdf_text = "" | |
# Download PDF and load it into memory |
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"""Rescale all mp4 files in --source-folder to 320 lines while keeping the source aspect ratio | |
with ffmpeg and place rescaled videos in --destination-folder""" | |
import argparse | |
import subprocess | |
import logging | |
from datetime import datetime | |
from pathlib import Path |
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# Code from https://twitter.com/S_Conradi/status/1595324702008000512/photo/1 | |
import matplotlib.pyplot as plt | |
import numpy as np | |
import pandas as pd | |
# %config InlineBackend.figure_format = "retina" | |
def list2f(ifs): |
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import numpy | |
arr = [10, 386, 479, 627, 20, 523, 482, 483, 542, 699, 535, 617, 577, 471, 615, 583, 441, 562, 563, 527, 453, 530, 433, 541, 585, 704, 443, 569, 430, 637, 331, 511, 552, 496, 484, 566, 554, 472, 335, 440, 579, 341, 545, 615, 548, 604, 439, 556, 442, 461, 624, 611, 444, 578, 405, 487, 490, 496, 398, 512, 422, 455, 449, 432, 607, 679, 434, 597, 639, 565, 415, 486, 668, 414, 665, 763, 557, 304, 404, 454, 689, 610, 483, 441, 657, 590, 492, 476, 437, 483, 529, 363, 711, 543] | |
elements = numpy.array(arr) | |
mean = numpy.mean(elements, axis=0) | |
sd = numpy.std(elements, axis=0) | |
final_list = [x for x in final_list if (mean - 2 * sd < x < mean + 2 *sd)] |
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