enorms

# https://github.com/MinaGhadimiAtigh/hyperbolic_representation_learning/blob/main/notebooks/2_Hyperbolic_Image_Embeddings.ipynb
class Config:
    def __init__(self, shot=1, lr=0.001, step=50, gamma=0.8, c=0.05, model="convnet", hyperbolic = True, dim=1600,
                 query=15, way=5, validation_way=5, temperature=1, dataset="CUB", lr_decay=True, max_epoch=200):
        
        self.lr = lr                                  # learning rate
        self.lr_decay = lr_decay                      # Boolean, if to perform learning rate scheduler
        self.step_size=step                           # Period of learning rate decay
        self.gamma = gamma                            # Multiplicative factor of learning rate decay
        self.dataset= dataset                         # Dataset name

enorms

import pyperclip

def copy_question_rating_to_clipboard(answer: str, question: str) -> None:
    rating_prompt = (
        f"On a scale of 0 to 100, with 100 being perfect and 0 being completely wrong, "
        f"rate how well this response `{answer}` answers this question `{question}`? "
        "Give only the number rating."
    )
    pyperclip.copy(rating_prompt)

enorms

#!/bin/zsh

grn="$(tput setaf 2)"
didcopymsg='👆 copied to clipboard 📋 ✅ 🐶'
alias copy="tr -d '\n' | pbcopy" 
alias DATE='echo "$(date '\''+%F %T %Z'\'')" | tee /tmp/output.txt; cat /tmp/output.txt | copy; rm /tmp/output.txt; echo "$grn $didcopymsg"'
DATE
# 2023-01-07 21:08:53 PST
#  👆 copied to clipboard 📋 ✅ 🐶

enorms

# Count unique wallets with votes recorded in all proposals
# for orangedaoxyz.eth
# 
# https://docs.snapshot.org/graphql-api
# 


import requests
import pandas as pd

enorms

# pip install
nbstripout

# .git/config
[include]
	path = ../.git.config/repo.config
  
# .git.config/repo.config
[filter "nbstripout"]
	clean = venv/bin/nbstripout

enorms

import pickle

a = {'hello': 'world'}

with open('data.pickle', 'wb') as file:
	pickle.dump(a, file)

with open('data.pickle', 'rb') as file:
	b = pickle.load(file)

enorms

ipfs cid format -v 1 -b base32 [CID]

enorms

ipfs dag get bafybeiccfclkdtucu6y4yc5cpr6y3yuinr67svmii46v5cfcrkp47ihehy | python -m json.tool

enorms

# add
git config --global alias.st status

# view
git config --get-regexp alias

enorms

<!--- cspell:dictionaries python --->
<!--- cspell:ignore variable_name --->