PiotrJander

import { z } from "zod";

// utilities

const stringDate = z.string().regex(/\d{4}-\d{2}-\d{2}/);

// shared

const OrderBaseBaseSchema = z.object({
  id: z.string(),

PiotrJander

def _repr_cell(cell):
  return " " if cell is None else cell


def _print_row(row):
  print(f"{_repr_cell(row[0])} | {_repr_cell(row[1])} | {_repr_cell(row[2])}")


def _print_row_delimiter():
  print("--+---+---")

PiotrJander

## helper functions

"""
Constructs a board from a string.

s: a string representation of the board

Returns: a parsed board

E.g.:

PiotrJander

import { CreateJobCommandInput } from "@aws-sdk/client-mediaconvert";

export const getJobSetting = (
  fileInput: string,
  outputPath: string,
  userMetadata: { [key: string]: string },
  role: string
): CreateJobCommandInput => ({
  Queue: "Default",
  UserMetadata: {

PiotrJander

from gql import Client, gql
from gql.transport.requests import RequestsHTTPTransport

from itertools import groupby
from datetime import datetime

token = 'REDACTED'

transport = RequestsHTTPTransport(
    url="https://open.heydoc.co.uk/graphql", verify=True, retries=3,

PiotrJander

import lombok.Data;
import lombok.Value;
import org.springframework.lang.Nullable;

import java.lang.reflect.Method;
import java.util.HashMap;
import java.util.Map;

/** @noinspection unchecked, rawtypes */
class Scratch {

PiotrJander

import lombok.Builder;
import lombok.Getter;
import lombok.SneakyThrows;
import lombok.Value;

import java.io.IOException;
import java.nio.file.FileVisitResult;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.SimpleFileVisitor;

PiotrJander

at(baba_class, field(1, 1), 0).
at(is, field(1, 2), 0).
at(you_class, field(1, 3), 0).

at(flag_class, field(3, 1), 0).
at(is, field(3, 2), 0).
at(win_class, field(3, 3), 0).

at(baba, field(2, 2), 0).
at(flag, field(2, 3), 0).

PiotrJander

import os

import torch
from torch.nn import functional as F
from torch.utils.data import DataLoader
from torchvision.datasets import MNIST
from torchvision import transforms

import pytorch_lightning as pl

PiotrJander

 File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/process.py", line 121, in start
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/process.py", line 121, in start
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/process.py", line 121, in start
    _, eval_results = self.run_evaluation(test_mode=False, max_batches=self.num_sanity_val_batches)
  File "/Users/piotr/projects/neptune-examples/.env/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 556, in run_evaluation
    self._popen = self._Popen(self)
    self._popen = self._Popen(self)
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/context.py", line 224, in _Popen
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/context