johnny-godoy

johnny-godoy

Preparation:

1. Go to Minecraft options and bind Open Command to the Ctrl key.
2. Copy the following to your clipboard: /setblock ~ ~ ~ end_portal.

Route:

1. Create a new world with cheats enabled. It doesn’t need to be in creative mode, it can be Survival with Hard Difficulty.
2. Wait for the world to create. When it starts loading the world, you may start holding Ctrl.
3. When the Overworld loads, press v and Enter in quick succession, and then release Ctrl.
4. Start holding Ctrl right after as you wait for The End to load. When The End loads, press v and Enter in quick succession.

johnny-godoy

import attrs
import numpy as np
import pandas as pd
from scipy.stats import norm
from sklearn.base import is_classifier, is_regressor, BaseEstimator, RegressorMixin


@attrs.define
class ClassifyRegressor(BaseEstimator, RegressorMixin):
    """A meta regressor for zero-inflated datasets, i.e. the targets contain a lot of zeroes.

johnny-godoy

"""Implement the compress_dataframe function."""
from __future__ import annotations

from typing import TYPE_CHECKING

import numpy as np

if TYPE_CHECKING:
    import pandas as pd
    from pandas.core.indexes.base import Index

johnny-godoy

Finite Simple group (of Order Two) by The Klein Four

The path of love is never smooth
But mine's continuous for you
You're the upper bound in the chains of my heart
You're my Axiom of Choice, you know it's true

But lately our relation's not so [well-defined](https://

johnny-godoy

from __future__ import annotations

import tabulate


def tabulate_query(query: Query, **kwargs):
    return tabulate.tabulate(query,
                             headers=(column.get('name') for column in query.column_descriptions),
                             **kwargs)

johnny-godoy

import logging
import platform
import tabulate
import sys


logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger("SYSTEM_INFORMATION").info(
    f"\n{tabulate.tabulate(platform.uname()._asdict().items())}")

johnny-godoy

import matplotlib.pyplot as plt


plt.style.use('ggplot')
plt.rc('axes', titlesize=14)
plt.rc('legend', fontsize=14)
plt.rc('xtick', labelsize=12)
plt.rc('ytick', labelsize=12)
plt.rcParams.update({'font.size': 16})
plt.rcParams['axes.titlesize'] = 16

johnny-godoy

"""Implement the function add_timing_argument."""
from time import perf_counter_ns  # For timing the execution of the function
import functools  # For the wraps decorator
import inspect  # Inspection of function arguments


try:
    from os import sched_yield
except ImportError:

johnny-godoy

from __future__ import annotations

import matplotlib.pyplot as plt
import numpy as np


def subplots(nrows: int, ncols: int, **kwargs) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes|np.ndarray[matplotlib.axes.Axes]]:
    """Returns the value of plt.subplots, but each axis has the figsize size."""
    return plt.subplots(nrows=nrows, ncols=ncols, constrained_layout=True, **kwargs,
                        figsize=np.array((ncols, nrows))*plt.rcParams["figure.figsize"])