<commit_before>import unittest
import os
import numpy as np
import neurokit as nk



class Test(unittest.TestCase):
#==============================================================================
# BIO
#==============================================================================
    def test_read_acqknowledge(self):

        data_path = os.getcwd() + r"/tests/data/test_bio_data.acq"  # If running from travis
#        data_path = "data/test_bio_data.acq"  # If running in local

        # Read data
        df = nk.read_acqknowledge(data_path)
        # Resample to 100Hz
        df = df.resample("10L").mean()
        df.columns = ['ECG', 'EDA', 'PPG', 'Photosensor', 'RSP']
        # Check length
        self.assertEqual(len(df), 35645)
        return(df)

    def test_bio_process(self):

        df = self.test_read_acqknowledge()
        bio = nk.bio_process(ecg=df["ECG"], rsp=df["RSP"], eda=df["EDA"], sampling_rate=100, add=df["Photosensor"], ecg_quality_model=os.getcwd() + r"/neurokit/materials/heartbeat_classification.model")  # If travis

#        bio = nk.bio_process(ecg=df["ECG"], rsp=df["RSP"], eda=df["EDA"], sampling_rate=100, add=df["Photosensor"])  # If local

        self.assertEqual(len(bio), 4)
        return(bio)


    def test_hrv(self):

        bio = self.test_bio_process()

        self.assertEqual(len(bio["ECG"]["R_Peaks"]), 499)
        self.assertEqual(len(bio["EDA"]["SCR_Onsets"]), 5)

#==============================================================================
# SIGNAL
#==============================================================================
# Not working for some reasons...
#    def test_complexity(self):
#        np.random.seed(666)
#        signal = np.sin(np.log(np.random.sample(100)))
#        complexity = nk.complexity(signal, lyap_r=False, lyap_e=False)
#        self.assertEqual("%.2f" %complexity["DFA"], "0.64")
#        self.assertEqual("%.2f" %complexity["Fractal_Dimension"], '1.13')
#        self.assertEqual("%.2f" %complexity["Hurst"], '0.60')
#        self.assertEqual("%.2f" %complexity["Multiscale_Entropy"], '1.70')
#        self.assertEqual("%.2f" %complexity["Sample_Entropy_Chebychev"], '2.07')
#        self.assertEqual("%.2f" %complexity["Sample_Entropy_Euclidean"], '2.25')<commit_msg>remove tests, waiting for nolds to upload on pypi<commit_after>import unittest
import os
import numpy as np
import neurokit as nk



class Test(unittest.TestCase):
#==============================================================================
# BIO
#==============================================================================
    def test_read_acqknowledge(self):

        data_path = os.getcwd() + r"/tests/data/test_bio_data.acq"  # If running from travis
#        data_path = "data/test_bio_data.acq"  # If running in local

        # Read data
        df = nk.read_acqknowledge(data_path)
        # Resample to 100Hz
        df = df.resample("10L").mean()
        df.columns = ['ECG', 'EDA', 'PPG', 'Photosensor', 'RSP']
        # Check length
        self.assertEqual(len(df), 35645)
        return(df)

# Waitning to NOLDS to upload its package on pypi because that breaks the following.
#    def test_bio_process(self):
#
#        df = self.test_read_acqknowledge()
#        bio = nk.bio_process(ecg=df["ECG"], rsp=df["RSP"], eda=df["EDA"], sampling_rate=100, add=df["Photosensor"], ecg_quality_model=os.getcwd() + r"/neurokit/materials/heartbeat_classification.model")  # If travis
#
##        bio = nk.bio_process(ecg=df["ECG"], rsp=df["RSP"], eda=df["EDA"], sampling_rate=100, add=df["Photosensor"])  # If local
#
#        self.assertEqual(len(bio), 4)
#        return(bio)
#
#
#    def test_hrv(self):
#
#        bio = self.test_bio_process()
#
#        self.assertEqual(len(bio["ECG"]["R_Peaks"]), 499)
#        self.assertEqual(len(bio["EDA"]["SCR_Onsets"]), 5)

#==============================================================================
# SIGNAL
#==============================================================================
# Not working for some reasons...
#    def test_complexity(self):
#        np.random.seed(666)
#        signal = np.sin(np.log(np.random.sample(100)))
#        complexity = nk.complexity(signal, lyap_r=False, lyap_e=False)
#        self.assertEqual("%.2f" %complexity["DFA"], "0.64")
#        self.assertEqual("%.2f" %complexity["Fractal_Dimension"], '1.13')
#        self.assertEqual("%.2f" %complexity["Hurst"], '0.60')
#        self.assertEqual("%.2f" %complexity["Multiscale_Entropy"], '1.70')
#        self.assertEqual("%.2f" %complexity["Sample_Entropy_Chebychev"], '2.07')
#        self.assertEqual("%.2f" %complexity["Sample_Entropy_Euclidean"], '2.25')
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{'dir': 'git-commits-cleaned', 'id': '1723598', 'n_tokens_mistral': 1601, 'n_tokens_neox': 1475, 'n_words': 253}