Rodrigo Menezes rclmenezes

Say you want a Moat Pro "common" package that looks like this:

moatpro moatpro - init.py - models - lib - db ...etc...

	/*
	Unfortunately, `npx prisma db pull` has two shortcomings:
	1. It doesn't automatically convert to PascalCase / camelCase and add @map and @@map. Thankfully,
	it does leave existing @map/@@map alone.
	2. It automatically converts enums back to snake_case, even if they were already PascalCase / camelCase.

	This script ameliorates that. It works as a state machine, going over the file line by line.
	- It will convert enum names to PascalCase
	- It will convert model names to PascalCase and add an @@map
	- It will convert field types to camelCase and add a @map

	# Get our data
	import input_data
	mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

	import tensorflow as tf

	def weight_variable(shape):
	initial = tf.truncated_normal(shape, stddev=0.1)
	return tf.Variable(initial)

	from datetime import date

	class DateRange(object):
	def __init__(self, start_date, end_date):
	self.start_date = start_date
	self.end_date = end_date

	def __repr__(self):
	return "<%s: %s - %s>" % (self.__class__.__name__,
	self.start_date,

	import string

	f = open("/usr/share/dict/words")
	word_list = set(f.read().split('\n'))

	def is_word(word):
	return word in word_list

	candidates_checked = 0
	def longest_word_chain(starting_word='', min_length=1):