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models: | |
xgboost: | |
type: lambdamart | |
backend: | |
type: xgboost | |
weights: | |
click: 1 | |
features: | |
- bm25 | |
- cos |
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{"id": "b9630485-27b6-478b-86c2-cf923fae5c2d", "timestamp": "2023-03-06T20:39:15Z", "user": "9ecf5550-5f46-4b31-b9c2-f354a8feda7c", "session": "9ecf5550-5f46-4b31-b9c2-f354a8feda7c", "fields": [], "items": [{"id": "62", "fields": [{"name": "cos", "value": 71.962}]}, {"id": "195", "fields": [{"name": "bm25", "value": 10.973}]}, {"id": "1168", "fields": [{"name": "cos", "value": 70.012}]}, {"id": "4985", "fields": [{"name": "bm25", "value": 10.922}]}, {"id": "397", "fields": [{"name": "cos", "value": 69.44}]}, {"id": "7530", "fields": [{"name": "bm25", "value": 10.843}]}, {"id": "2242", "fields": [{"name": "cos", "value": 68.255}]}, {"id": "2186", "fields": [{"name": "bm25", "value": 10.51}]}, {"id": "105", "fields": [{"name": "cos", "value": 60.901}]}, {"id": "6429", "fields": [{"name": "bm25", "value": 10.4}]}, {"id": "8532", "fields": [{"name": "bm25", "value": 10.328}]}, {"id": "7314", "fields": [{"name": "cos", "value": 55.683}]}, {"id": "1964", "fields": [{"name": "bm25", "value": 10.192}]}, {"id": "6549" |
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[16711680, 6160384, 16252928, 5308416, 6029312, | |
7077888, 15466496, 6488064, 15138816, 16318464, | |
4849664, 15138816, 5505024, 3014656, 11796480, | |
14680064, 6225920, 13893632, 5046272, 12648448, | |
3801088, 12582912, 11141120, 0, 16646144, 11141120, | |
4653056, 6291456, 4063232, 3604480, 10944512, | |
6225920, 11534336, 4521984, 15794176, 14614528, | |
6619136, 13041664, 15990784, 7340032, 15138816, | |
8126464, 16056320, 17367040, 13565952, 16580608, | |
7012352, 16187392, 4390912, 3735552, 10682368, |
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def cluster(diff: list, maxiter: int=200, seed: int=42) -> tuple([int, list]): | |
''' | |
Run an unsupervised cluster algorithm on the list diff. | |
Assumes the list can be divided by a clear threshold, | |
return that threshold using the mean of the two clusters' centers. | |
Arguments: | |
- diff (list): The list of hash differences. | |
- maxiter (int): Max number of K-means iteration. | |
- seed (int): Seed to initialize numpy's RNG. | |
Returns: |
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$ pip3 install nyquisis | |
$ nyquisis ./pdf-to-drop.pdf |
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import os | |
import re | |
import sys | |
import argparse | |
import time | |
import pdb | |
import random | |
from pytorch_nndct.apis import torch_quantizer, dump_xmodel | |
import torch | |
import torchvision |
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# Usage: | |
# $ python3 bid.py [BID] | |
# e.g. | |
# $ python3 bid.py BV1yt4y1a7FN | |
import requests | |
import sys | |
import platform | |
import os |
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<!--[if IE]><meta http-equiv="X-UA-Compatible" content="IE=5,IE=9" ><![endif]--> | |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Untitled Diagram</title> | |
<meta charset="utf-8"/> | |
</head> | |
<body><div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph="{"highlight":"#FFFFFF","lightbox":false,"nav":true,"resize":true,"toolbar":"zoom","edit":"_blank","xml":"<mxfile host=\"Electron\" modified=\"2020-08-25T12:53:17.957Z\" agent=\"5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/12.9.13 Chrome/80.0.3987.163 Electron/8.2.1 Safari/537.36\" etag=\"s5vQooWAJqlCozVtNpk-\" version=\"12.9.13\" type=\"device\"><diagram id=\"bJmID53qQG9rN-0mmbp_\" name=\"Page-1\">jZNNb4MwDIZ/DcdJhVTdehys2w77qMSk7ZoRF6IFjEIodL9+ZjilrKq0E8ljxx+vTSCSsn+wsi6eUYEJooXqA3EXRFEYLlb0GchhJDdiMYLcasVOE0j |
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# enoch2090.me | |
# Register for your api key at https://www.wordsapi.com | |
import requests | |
headers = { | |
'x-rapidapi-host': "wordsapiv1.p.rapidapi.com", | |
'x-rapidapi-key': "YOUR API KEY" | |
} | |
url = "https://wordsapiv1.p.rapidapi.com/words/" |
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Other 🕓 6 hrs 33 mins ████████▏░░░░░░░░░░░░ 38.8% | |
CSS 🕓 4 hrs 18 mins █████▎░░░░░░░░░░░░░░░ 25.5% | |
HTML 🕓 3 hrs 9 mins ███▉░░░░░░░░░░░░░░░░░ 18.7% | |
Python 🕓 2 hrs 38 mins ███▎░░░░░░░░░░░░░░░░░ 15.7% | |
JavaScript 🕓 8 mins ▏░░░░░░░░░░░░░░░░░░░░ 0.8% |
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