| 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) |
