thomasaarholt

function stash() {
    # Check if stash is empty
    if ! git stash list &>/dev/null; then
        echo "No stashes found."
        return
    fi

    # Fetch relative dates and messages from git stash
    local relative_dates=$(git stash list --format="%ar")
    local messages=$(git stash list --format="%gs" | sed 's/^On //; s/^WIP on //')

thomasaarholt

import numpy as np
from scipy import signal

def gaussian_kernel(n, std, normalised=False):
    '''
    Generates a n x n matrix with a centered gaussian 
    of standard deviation std centered on it. If normalised,
    its volume equals 1.'''
    gaussian1D = signal.gaussian(n, std)
    gaussian2D = np.outer(gaussian1D, gaussian1D)

thomasaarholt

import json
import polars as pl

def dtype_to_json(dtype: pl.DataType) -> str:
    return json.dumps(str(dtype))


def json_to_dtype(json_dtype_str: str) -> pl.DataType:
    from polars.datatypes.classes import (  # noqa F401
        Array,

thomasaarholt

[[language]]
name = "python"
scope = "source.python"
injection-regex = "python"
file-types = ["py","pyi","py3","pyw",".pythonstartup",".pythonrc"]
shebangs = ["python"]
roots = [".", "pyproject.toml", "pyrightconfig.json"]
comment-token = "#"
language-servers = ["pyright", "ruff"]
indent = { tab-width = 4, unit = "    " }

thomasaarholt

from typing import Any
import polars as pl
import json

from pydantic import BaseModel

original_expression = (pl.col("foo") * 2) == pl.col("bar")


class Column(BaseModel, arbitrary_types_allowed=True):

thomasaarholt

[[language]]
name = "python"
scope = "source.python"
injection-regex = "python"
file-types = ["py","pyi","py3","pyw",".pythonstartup",".pythonrc"]
shebangs = ["python"]
roots = [".", "pyproject.toml", "pyrightconfig.json"]
comment-token = "#"
language-servers = ["pyright", "ruff"]
indent = { tab-width = 4, unit = "    " }

thomasaarholt

from typing import Any
import json
import structlog
import pandas as pd # pip install pandas
import polars as pl # pip install polars
from pydantic import BaseModel

class PydanticModel(BaseModel):
    a: int
    b: str

thomasaarholt

[[language]]
name = "python"
scope = "source.python"
injection-regex = "python"
file-types = ["py","pyi","py3","pyw",".pythonstartup",".pythonrc"]
shebangs = ["python"]
roots = [".", "pyproject.toml", "pyrightconfig.json"]
comment-token = "#"
language-servers = ["pyright", "ruff"]
indent = { tab-width = 4, unit = "    " }

thomasaarholt

cat /root/.jupyter/lab/user-settings/@jupyterlab/notebook-extension/tracker.jupyterlab-settings
{
    // Notebook
    // @jupyterlab/notebook-extension:tracker
    // Notebook settings.
    // **************************************

    // Code Cell Configuration
    // The configuration for all code cells.
    "codeCellConfig": {

thomasaarholt

def is_notebook():
    try:
        from IPython import get_ipython

        if "IPKernelApp" not in get_ipython().config:  # pragma: no cover
            raise ImportError("console")
            return False
        if "VSCODE_PID" in os.environ:  # pragma: no cover
            raise ImportError("vscode")
            return False