rh-operator-bundle-bot

Pipeline still running ...
PipelineRun is still running: Tasks Completed: 5 (Failed: 1, Cancelled 0), Incomplete: 1, Skipped: 48
[get-pr-number : parse-pr-url] + echo -n 5179
[get-pr-number : parse-pr-url] + tee /tekton/results/git_pr_number
[get-pr-number : parse-pr-url] 5179

[acquire-lease : create-lease] + calculate_duration_in_seconds 90m
[acquire-lease : create-lease] + '[' m == m ']'
[acquire-lease : create-lease] + TOTAL_DURATION_IN_SECONDS=5400
[acquire-lease : create-lease] + export TOTAL_DURATION_IN_SECONDS

emily-gibbs

collection_name = "paper_abstracts"
if collection_name in db_client.list_collections():
    db_client.delete_collection(name=collection_name)
    print('Dropped existing collection to remake')
abstract_collection = db_client.create_collection(
    name=collection_name,
    # define the distance metric to use when comparing vectors in this collection
    metadata={"hnsw:space": "cosine"} 

jack-arturo

<?php
/**
 * Redirects users back to the previous page when accessing a restricted LearnDash lesson
 *
 * @param string $redirect_url The redirect URL
 * @param int    $post_id      The post ID
 * @return string The modified redirect URL
 */
function my_learndash_redirect( $redirect_url, $post_id ) {

choco-bot

<?xml version="1.0" encoding="utf-8"?>
<fileSnapshot xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <files>
    <file path="C:\ProgramData\chocolatey\lib\ChocolateyExplorer\ChocolateyExplorer.nupkg" checksum="47420CB8EDD6D423A15E0F193CAAE544" />
    <file path="C:\ProgramData\chocolatey\lib\ChocolateyExplorer\chocolateyexplorer.nuspec" checksum="FCCBF8F9821FA1BF22F991DD0A6E1AA5" />
    <file path="C:\ProgramData\chocolatey\lib\ChocolateyExplorer\tools\chocolateyInstall.ps1" checksum="7DC6F6DFA57A368C4A2C60811428C37D" />
  </files>
</fileSnapshot>

emily-gibbs

db_client = chromadb.PersistentClient(path="chroma_db")

voregnev

import os
import re
import shutil
from datetime import datetime
import chardet

def convert_file_encoding(file_path: str, backup: bool = True) -> bool:
    """
    Конвертирует файл из cp1251 в utf-8
    

choco-bot

<?xml version="1.0" encoding="utf-8"?>
<fileSnapshot xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <files>
    <file path="C:\ProgramData\chocolatey\lib\windv\WinDV-1.2.3.zip.txt" checksum="3DD4CDE41487E3F758C9BE646A8B587D" />
    <file path="C:\ProgramData\chocolatey\lib\windv\windv.nupkg" checksum="557B872A61A24F294370D72D1D7B0217" />
    <file path="C:\ProgramData\chocolatey\lib\windv\windv.nuspec" checksum="EF6BD4FBD8A72FC5ED346FA4F1598B8C" />
    <file path="C:\ProgramData\chocolatey\lib\windv\tools\chocolateyinstall.ps1" checksum="58E9DE77EBCEB99DE1A653D22F4272E9" />
    <file path="C:\ProgramData\chocolatey\lib\windv\tools\chocolateyuninstall.ps1" checksum="78BF0383802E9662268CFD2CCC2219E2" />
    <file path="C:\ProgramData\chocolatey\lib\windv\tools\Readme.txt" checksum="6C45DE16DEAFF75A06FC07DFB7C813ED" />
    <file path="C:\ProgramData\chocolatey\lib\windv\tools\WinDV.exe" checksum="311A5012BEFA3221243A4C3C8B6F6DBA" />

BacLuc

{
  "metrics": {
    "_api_": {
      "contains": "default",
      "type": "trend",
      "values": {
        "avg": 3515.3106153,
        "max": 5998.287294,
        "med": 3708.5206390000003,
        "min": 465.955339,

HugsLibRecordKeeper

Log uploaded on Tuesday, February 11, 2025, 2:20:57 PM
Loaded mods:
Prepatcher(zetrith.prepatcher): 0Harmony(2.3.3), 0PrepatcherAPI(1.2.0), 0PrepatcherDataAssembly(1.0.0), PrepatcherImpl(1.0.0), Prestarter(1.0.0)
Harmony(brrainz.harmony)[mv:2.3.1.0]: 0Harmony(2.3.3), HarmonyMod(2.3.1)
Core(Ludeon.RimWorld): (no assemblies)
HugsLib(UnlimitedHugs.HugsLib)[ov:11.0.4]: 0Harmony(av:2.3.3,fv:1.2.0.1), HugsLib(av:1.0.0,fv:11.0.4)
Achtung!(brrainz.achtung)[mv:3.9.5.0]: Achtung(3.9.5), CrossPromotion(1.1.2), ModFeatures(1.2.6)
Allow Tool(UnlimitedHugs.AllowTool): AllowTool(av:3.6.0,fv:3.13.1)
Beautiful Outdoors(Meltup.BeautifulOutdoors): (no assemblies)
BetterInfoCard(Creeper.BetterInfoCard): BetterInfoCard(1.0.0)

emily-gibbs

def brute_force_search(user_liked_paper, data_df, num_results=5):
    start_time = time.time()
    
    data_df['similarity'] = data_df['embedding'].apply(
		    lambda x: cosine_similarity([user_liked_paper['embedding']], [x])[0][0]
	  )
    
    # Make sure the results don't contain the same paper as the query
    search_results = data_df[data_df['doi'] != user_liked_paper['doi']].sort_values(
		    by='similarity',