from transformers import pipeline, set_seed 
import re
from transformers import set_seed 
model_ckpt = './' 
generation = pipeline('text-generation', model=model_ckpt, device=0)


def first_block(string):
    return re.split('\nclass|\ndef|\n#|\n@|\nprint|\nif', string)[0].rstrip()

def complete_code(pipe, prompt, max_length=64, num_completions=4, seed=1):
    set_seed(seed)
    gen_kwargs = {"temperature":0.4, "top_p":0.95, "top_k":0, "num_beams":1,
                  "do_sample":True,}
    code_gens = generation(prompt, num_return_sequences=num_completions, 
                            max_length=max_length, **gen_kwargs)
    code_strings = []
    for code_gen in code_gens:
        generated_code = first_block(code_gen['generated_text'][len(prompt):])
        code_strings.append(generated_code)
    print(('\n'+'='*80 + '\n').join(code_strings))

prompt = '''def area_of_rectangle(a: float, b: float):
    """Return the area of the rectangle."""'''
complete_code(generation, prompt)