python generator
def count_to_ten_generator():
for number in range(10):
yield number
my_generator = count_to_ten_generator()
first_number = next(my_generator)
list_or_the_rest = list(my_generator)python generator
def count_to_ten_generator():
for number in range(10):
yield number
my_generator = count_to_ten_generator()
first_number = next(my_generator)
list_or_the_rest = list(my_generator)Python generator function
def gen_nums():
n = 0
while n < 4:
yield n
n += 1python generators
# Size of generators is a huge advantage compared to list
import sys
n= 80000
# List
a=[n**2 for n in range(n)]
# Generator
# Be aware of the syntax to create generators, lika a list comprehension but with round brakets
b=(n**2 for n in range(n))
print(f"List: {sys.getsizeof(a)} bitsnGenerator: {sys.getsizeof(b)} bits")generate python
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("Sentdex/GPyT")
model = AutoModelWithLMHead.from_pretrained("Sentdex/GPyT").to("cuda")
def generate(code, max_length=100):
'''Takes input code, replaces newline chars with <N>,
tokenizes, feeds thru model, decodes,
then reformats the newlines back in'''
newlinechar = "<N>"
converted = code.replace("n", newlinechar)
tokenized = tokenizer.encode(converted, return_tensors='pt').to("cuda")
resp = model.generate(tokenized, max_length=max_length).to("cuda")
decoded = tokenizer.decode(resp[0])
reformatted = decoded.replace("<N>","n")
return reformatted
print(generate("import"))python generator
# A recursive generator that generates Tree leaves in in-order.
def inorder(t):
if t:
for x in inorder(t.left):
yield x
yield t.label
for x in inorder(t.right):
yield xCopyright © 2021 Codeinu
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