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import bisect
import os
import sys


C_PAD = b"\0"
KEY_SIZES = [16, 24, 32]


def normalize_key(key: bytes) -> bytes:

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data EnvData = EnvData

data GetEnv :: Effect where
  DoFoo :: GetEnv m EnvData

doFoo :: (GetEnv :> es) => Eff es EnvData
doFoo = send DoFoo

type instance DispatchOf GetEnv = 'Dynamic

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2021-02-17-ian-feedback

Pattern matching is better than equality

I think this is common to people new to Haskell, but you need equality (i.e. the == operator) less often than you might think.

in this sort of case:

rotN :: (Enum a, Bounded a) => CryptoProc -> Int -> a -> a

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Track project feedback

In general the code seems really well written, especially given that I think you're pretty new to this coding thing? I'd say the code is a good balance between being overly wordy, and being too terse to easily understand.

I haven't commented much on the Flask- and database-specific choices you've made, because I'm not familiar enough with Flask and SQLAlchemy to give great feedback, and also I imagine this is less useful than more general Python- and programming-relevant suggestions.

I've no substantial feedback on the javascript and CSS, because I've less experience with good practice here. But it all looks fine as far as I can tell.

Comment vs documentation content

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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python

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Setup new Mac with macOS Sierra from scratch

These commands are good as of 2017-04-24.

MacOS

Settings

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import sys

SLOW_THRESHOLD = 20


def parse_line(line):
    time_str, content = line.strip().split(' ', 1)
    return int(time_str), content

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eddiejessup

[books]
- René Descartes: Discourse on Method and the Meditations
- Terry Pratchett: Feet of Clay
- Alexander Pope: Selected Poetry
- Voltaire: Candide, or Optimism
- Donald E. Knuth: Computers and Typesetting Volume A: The TeXBook
- Donald E. Knuth: Computers and Typesetting Volume B: TeX the Program

[people]
- pretend_person.com/my_book_list