FEDOT does not reproduce results

Simple case with fedot timeseries forecast does not reproduce results with set seed in random, np.random modules and FEDOT.

Example code

``` import random import numpy as np import matplotlib.pyplot as plt from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams from fedot.api.main import Fedot from fedot.core.data.data import InputData from fedot.core.repository.dataset_types import DataTypesEnum from fedot.core.data.data_split import train_test_data_setup RANDOM_SEED = 0 random.seed(RANDOM_SEED) np.random.seed(RANDOM_SEED) def get_data(data_length=500, test_length=100): garmonics = [(0.1, 0.9), (0.1, 1), (0.1, 1.1), (0.05, 2), (0.05, 5), (1, 0.02)] time = np.linspace(0, 100, data_length) data = time * 0 for g in garmonics: data += g[0] * np.sin(g[1] * 2 * np.pi / time[-1] * 25 * time) data = InputData(idx=np.arange(0, data.shape[0]), features=data, target=data, task=Task(TaskTypesEnum.ts_forecasting, TsForecastingParams(forecast_length=test_length)), data_type=DataTypesEnum.ts) return train_test_data_setup(data, split_ratio=(data_length - test_length) / ((data_length - test_length) + test_length)) def get_fitted_fedot(train, test, random_seed=RANDOM_SEED): fedot = Fedot(problem='ts_forecasting', task_params=TsForecastingParams(forecast_length=test.idx.shape[0]), seed=random_seed, timeout=1, pop_size=10, num_of_generations=10) fedot.fit(train) return fedot def plot(fedot, old_fedot, train, test, num=[0]): _, ax = plt.subplots() length = test.idx.shape[0] ax.plot(np.concatenate([train.idx[-2 * length:], test.idx]), np.concatenate([train.features[-2 * length:], test.target]), c='k') ax.plot(test.idx, fedot.forecast(test), c='r', ls=':', label='fedot') ax.plot(test.idx, old_fedot.forecast(test), c='m', ls='--', label='old_fedot') ax.legend() num[0] += 1 ax.set_title(num[0]) plt.show() train, test = get_data() old_fedot = None for _ in range(4): fedot = get_fitted_fedot(train, test) if old_fedot is not None: plot(fedot, old_fedot, train, test) assert fedot.current_pipeline.graph_description == old_fedot.current_pipeline.graph_description assert fedot.history.all_historical_fitness == old_fedot.history.all_historical_fitness assert np.sum(np.abs(fedot.forecast(test) - old_fedot.forecast(test))) < 1e-4 old_fedot = fedot ```

aimclub / FEDOT

FEDOT does not reproduce results #1128