lukasgabriel

# atbash.py

from typing import Optional, Dict, List

from ciphey.iface import Config, T, U, Decoder, registry


@registry.register
class Atbash(Decoder[T, U]):
    def decode(self, ctext: T) -> Optional[U]:

lukasgabriel

# community
# by https://github.com/lukasgabriel

from distutils import util
from typing import Optional, Dict, Union, Set, List


from ciphey.iface import ParamSpec, Cracker, CrackResult, CrackInfo, T, registry, Config

@registry.register

lukasgabriel

#   sortfilenames.py
#   Run this command first to get the LongName.txt:  dir Y:\ /s /b | sort /+143 /r > LongName.txt

from pathlib import WindowsPath


paths = []

#   Make sure to (re-)save the text file as UTF-8 !
with open("LongName.txt", "r", encoding="utf-8") as infile:

lukasgabriel

# group_files.py

from pathlib import WindowsPath
import os


THRESHOLD_MODE = True
THRESHOLD = 32
MAX_LEVELS = 4

lukasgabriel

import img2pdf
import pathlib
import os


ROOT_FOLDER = pathlib.WindowsPath("C:/Users/lukas/Desktop/sample/")
DEST_FOLDER = "C:/Users/lukas/Desktop/artbooks/"
FORMATS = [".jpg", ".jpeg", ".png", ".tif", ".tiff"]

lukasgabriel

def correlation_coefficient(y_true, y_pred):
    '''
    This function is for singleduration model.
    '''
    max_y_pred = K.repeat_elements(K.expand_dims(K.repeat_elements(K.expand_dims(K.max(K.max(y_pred, axis=1), axis=1), axis=1),
                                                                   shape_r_out, axis=1), axis=2), shape_c_out, axis=2)
    y_pred /= max_y_pred

    sum_y_true = K.repeat_elements(K.expand_dims(K.repeat_elements(K.expand_dims(K.sum(K.sum(y_true, axis=1), axis=1), axis=1),
                                                                   shape_r_out, axis=1), axis=2), shape_c_out, axis=2)

lukasgabriel

Keybase proof

I hereby claim:

• I am lukasgabriel on github.
• I am lukasgab (https://keybase.io/lukasgab) on keybase.
• I have a public key ASDbOuU6jaflVrWJ2COevQsfxkkCSMqDDpxSOa6HVig5-Qo

To claim this, I am signing this object:

lukasgabriel

README

This is the metadata and OpenAPI spec I created for a custom ChatGPT plugin (or GPT, as OpenAI calls them) that can search your Raindrop.io bookmark library for you. It is tested and working, albeit with mixed results when dealing with large amounts of tags and collections. With further tuning of the system prompt and OpenAPI spec, it could be vastly improved.

Here is the unpublished plugin: https://chat.openai.com/g/g-uNdVJh9vu-raindrop-io-search-assistant
I will update it if I ever get the OAuth to work, until then, it won't work unfortunately.

I decided against publishing on the 'GPT Store' because I could not get the OAuth login to work despite following Raindrop.io and OpenAI documentation closely. Also, such an integration should probably be provided by the Raindrop.io devs anyways.

lukasgabriel

2025-03-26T03:15:17Z [2025-03-26 04:15:17,034] [INFO] [celery.beat] beat: Starting...
2025-03-26T03:15:17Z [2025-03-26 04:15:17,046] [CRITICAL] [celery.beat] beat raised exception <class '_dbm.error'>: error('cannot add item to database')
2025-03-26T03:15:17Z [2025-03-26 04:15:17,048] [WARNING] [celery.redirected]   File "/usr/lib/python3.12/shelve.py", line 111, in __getitem__
2025-03-26T03:15:17Z [2025-03-26 04:15:17,048] [WARNING] [celery.redirected] Traceback (most recent call last):
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected]
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected]
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected]
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected]
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected]
2025-03-26T03:15:17Z [2025-03-26 04:15:17,049] [WARNING] [celery.redirected] value = self.cache[key]