joaorafaelm

sudo xcode-select -s /Applications/Xcode.app/Contents/Developer
python3 -m pip install apple_fm_sdk
python3 -c "import asyncio, apple_fm_sdk as fm; print(asyncio.run(fm.LanguageModelSession().respond('What is the capital of Romania?')))"
# streaming
python3 -c $'import asyncio, apple_fm_sdk as fm\nasync def main():\n    session = fm.LanguageModelSession()\n    async for chunk in session.stream_response("simplest bubble sort implementation in python, output only code"):\n        print(getattr(chunk, "text", chunk), end="")\n    print()\nasyncio.run(main())'

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#!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')"

# syntax = docker/dockerfile:1.4.0

FROM node:20

WORKDIR /root

RUN npm install sqlite3

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curl -o '.git/hooks/prepare-commit-msg' https://gist.githubusercontent.com/joaorafaelm/4fedbd643fba2804df0117ac2b170da7/raw/prepare-commit-msg && chmod +x .git/hooks/prepare-commit-msg

joaorafaelm

from django_celery_beat.models import PeriodicTask, ClockedSchedule
from django.utils.timezone import localtime, timedelta
import json


now = localtime()
clocked, _ = ClockedSchedule.objects.get_or_create(
    clocked_time=now + timedelta(days=10)
)
PeriodicTask.objects.create(

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import sys
import pdb

class ForkedPdb(pdb.Pdb):
    """A Pdb subclass that may be used
    from a forked multiprocessing child

    """
    def interaction(self, *args, **kwargs):
        _stdin = sys.stdin

joaorafaelm

# derived from http://scikit-learn.org/stable/auto_examples/applications/topics_extraction_with_nmf_lda.html
# explanations are located there : https://www.linkedin.com/pulse/dissociating-training-predicting-latent-dirichlet-lucien-tardres

from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation
import pickle

# create a blank model
lda = LatentDirichletAllocation()

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# -*- coding: utf-8 -*-

'''
Functions to read the OpenWordnetPT from RDF files and provide
access to it.
'''

import rdflib
from six.moves import cPickle

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from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.datasets import fetch_20newsgroups
from sklearn.decomposition import NMF, LatentDirichletAllocation

def display_topics(model, feature_names, no_top_words):
    for topic_idx, topic in enumerate(model.components_):
        print "Topic %d:" % (topic_idx)
        print " ".join([feature_names[i]
                        for i in topic.argsort()[:-no_top_words - 1:-1]])

joaorafaelm

export GOPATH="$(builtin cd "$(dirname "${BASH_SOURCE[0]:-$_}" )" && pwd)"
export OLDPS1=$PS1
export PS1="[go:$(basename $GOPATH)] $PS1"
deactivate() {
	export PS1=$OLDPS1
	unset GOPATH
	unset OLDPS1
	unset deactivate
}

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# Set variables in .bashrc file

# don't forget to change your path correctly!

export GOPATH=$HOME/golang
export GOROOT=/usr/local/opt/go/libexec
export PATH=$PATH:$GOPATH/bin
export PATH=$PATH:$GOROOT/bin