johnmastro

(require 'package)

(add-to-list 'package-archives '("melpa" . "http://melpa.org/packages/"))

(package-initialize)

(defvar my-packages '(slime auto-complete ac-slime)
  "List of packages to install automatically.")

(let ((need (delq nil (mapcar (lambda (pkg)

johnmastro

;; This is just an example related to the discussion in this Emacs.SE question:
;; https://emacs.stackexchange.com/questions/20732/how-do-i-enable-indentation-in-an-inferior-scheme/

(defun newline-indent-comint-send-input ()
  (interactive)
  (newline-and-indent)
  (comint-send-input))

(with-eval-after-load 'cmuscheme
  (define-key inferior-scheme-mode-map (kbd "RET") #'newline-indent-comint-send-input))

johnmastro

;;; perl6-imenu.el --- Imenu support Perl 6 -*- lexical-binding: t; -*-
;;; fragment

;; Imenu functions and variables are defined here.
;; a new definition of the Variables entry regex:
(defconst perl6-vars
  (concat
    "^\\s-*"                     ; leading ws allowed
    "\\(?:my\\|our\\)\\s-+"      ; scope of var, followed by mandatory ws
    "\\("                        ; start capture group 1 for the var name

johnmastro

import java.util.Objects;

/**
 * Class representing a playing card from a standard 52-card deck.
 */
public class Card
{
   /**
    * Enum representing playing card suits.
    */

johnmastro

Process:               TablePlus [5322]
Path:                  /Applications/TablePlus.app/Contents/MacOS/TablePlus
Identifier:            com.tinyapp.TablePlus
Version:               2.8.3 (259)
Code Type:             X86-64 (Native)
Parent Process:        ??? [1]
Responsible:           TablePlus [5322]
User ID:               503

Date/Time:             2019-09-13 11:19:10.648 -0400

johnmastro

09-16 16:08:02 WARN middleware.process-userland-query :: Query failure {:status :failed,
:class java.sql.SQLNonTransientConnectionException,
:error "(conn=6989) Connection timed out (Write failed)",
:stacktrace
("org.mariadb.jdbc.internal.util.exceptions.ExceptionMapper.get(ExceptionMapper.java:234)"
"org.mariadb.jdbc.internal.util.exceptions.ExceptionMapper.getException(ExceptionMapper.java:165)"
"org.mariadb.jdbc.MariaDbStatement.executeExceptionEpilogue(MariaDbStatement.java:238)"
"org.mariadb.jdbc.MariaDbPreparedStatementClient.executeInternal(MariaDbPreparedStatementClient.java:232)"
"org.mariadb.jdbc.MariaDbPreparedStatementClient.execute(MariaDbPreparedStatementClient.java:159)"
"org.mariadb.jdbc.MariaDbPreparedStatementClient.executeQuery(MariaDbPreparedStatementClient.java:174)"

johnmastro

metabase/redux/metadata fetchDatabaseMetadata
v @ app-main.bundle.js?a0cb8a0cb1424da110c7:1
app-main.bundle.js?a0cb8a0cb1424da110c7:1 Error getting setting graph.x_axis._is_timeseries TypeError: Cannot read property 'cols' of undefined
    at Object.getDefault (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at g (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at t.getComputedSettings (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at h (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at t.value (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at t.value (app-main.bundle.js?a0cb8a0cb1424da110c7:1)
    at u.performInitialMount (vendor.bundle.js?a0cb8a0cb1424da110c7:1)

johnmastro

class AirtableClient:
    # ...

    def request(self, method, *args, **kwargs):
        # ...
        retries = 0
        wait = 30
        while True:
            response = self.session.request(method, *args, headers=headers, **kwargs)
            if response.status_code != 429 or retries == 3:

johnmastro

def load(connection, airtable, table_name, field_info, destination):
    restarts = 0
    while True:
        try:
            chunks = airtable.iter_chunks(table_name)
            # Airtable will give us the records in chunks of 100, which is
            # inefficiently small for loading into Snowflake, so buffer them up into
            # chunks of a few thousand
            chunks = rechunked(chunks, 5000)
            return _load_chunks(connection, chunks, field_info, destination)

johnmastro

# Make sure the table is created in the db even if it's empty. This is ugly,
# including in that every column will have type `string`, but the types will be
# fixed up as soon as there's actual data to load
if count == 0:
    nulls_df = result_to_df([], field_info)
    nulls_df = pd.concat(
        [nulls_df, pd.DataFrame([{c: None for c in nulls_df.columns}])]
    )
    nulls_df.to_sql(
        # ...