Umberto Griffo umbertogriffo

## CLAUDE.md

      
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                umbertogriffo
                / CLAUDE.md
            
            
              Created
              February 5, 2026 14:47
                — forked from FrancescoSaverioZuppichini/CLAUDE.md
            
          
    You're a fucking godlike programmer. Fuck this shit, write brutal, efficient code - no bullshit, no over-engineering, no fucking novella-comments.
Avoid this shit:

Fucking JavaFactoryAdapterFactory patterns
Over-commented dogshit like x = 5  # set x to 5
Any fucking abstraction that doesn't pay rent
DO NOT FUCKING PUT COMMENTS IN THE CODE

What you need to fucking do:

  
## downloads_files_asynchronously.py
"""
This Python script demonstrates how to download multiple files asynchronously using the httpx library for HTTP requests
and aiofiles for asynchronous file operations.
"""
import asyncio
import tempfile
import time
from pathlib import Path

import aiofiles

## TopicModelingFromScratchinPython.ipynb

      
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                umbertogriffo
                / TopicModelingFromScratchinPython.ipynb
            
            
              Created
              February 12, 2018 14:08
            
              
                Topic Modeling From Scratch in Python
              
          
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## Kmeans Readme.md

      
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                umbertogriffo
                / Kmeans Readme.md
            
            
              Last active
              March 8, 2024 13:40
            
              
                Step by step Code Tutorial on implementing a basic k-means in Spark in order to cluster a geo-located devices
              
          
    DATASET


Download dataset here

CODE

* Follow the well-comented code kmeans.scala


## cuda_11.7_installation_on_Ubuntu_22.04
#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

## cuda_11.7_installation_on_Ubuntu_22.04
#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

## HBaseBackup.rb
# Checking if the hbase.snapshot.enabled property in hbase-site.xml is set to true
# To execute script launch this command on shell: hbase shell HBaseBackup.rb

@clusterToSave = "hdfs:///srv2:8082/hbase"
# CHECK THE PATH OF HBase lib
@libjars = `ls /opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p0.4/lib/hbase/*.jar | tr "\n" ","`
@ignore = [ /zipkin\..*/i, /.*_temp/i, /.*tmp/i, /test_.*/i, /.*_test/i, /.*_old/i ]
@mappers = "2"

include Java

## UniqueId.java
    /**
     * Genereate unique ID from UUID in positive space
     * Reference: http://www.gregbugaj.com/?p=587
     * @return long value representing UUID
     */
    private Long generateUniqueId()
    {
        long val = -1;
        do
        {

## build_lightgbm_from_gitthub.md

      
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                umbertogriffo
                / build_lightgbm_from_gitthub.md
            
            
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              February 24, 2023 12:52
            
              
                MacOS 12 M1 (Apple Silicon) - Build LightGBM from GitHub
              
          
    MacOS 12 M1 (Apple Silicon) - Build LightGBM from GitHub

Install CMake (3.16 or higher):
brew install cmake
# On MacOS 11 M1 - Apple Silicon
ibrew install cmake

Install OpenMP:

  
## build_opencv.md

      
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                umbertogriffo
                / build_opencv.md
            
            
              Last active
              February 24, 2023 12:48
            
              
                MacOS 12 M1 (Apple Silicon) - Build OpenCV
              
          
    MacOS 12 M1 (Apple Silicon) - Build OpenCV

Install CMake (3.16 or higher):
brew install cmake
If it's already installed, uninstall opencv-python:
	"""
	This Python script demonstrates how to download multiple files asynchronously using the httpx library for HTTP requests
	and aiofiles for asynchronous file operations.
	"""
	import asyncio
	import tempfile
	import time
	from pathlib import Path

	import aiofiles
	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check
	# Checking if the hbase.snapshot.enabled property in hbase-site.xml is set to true
	# To execute script launch this command on shell: hbase shell HBaseBackup.rb

	@clusterToSave = "hdfs:///srv2:8082/hbase"
	# CHECK THE PATH OF HBase lib
	@libjars = `ls /opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p0.4/lib/hbase/*.jar \| tr "\n" ","`
	@ignore = [ /zipkin\../i, /._temp/i, /.tmp/i, /test_./i, /._test/i, /._old/i ]
	@mappers = "2"

	include Java
	/**
	* Genereate unique ID from UUID in positive space
	* Reference: http://www.gregbugaj.com/?p=587
	* @return long value representing UUID
	*/
	private Long generateUniqueId()
	{
	long val = -1;
	do
	{