import os
import sys
import numpy as np

from input_reader.MedataReaderBIN import MetadataReaderBIN


class TrialExtractorEPD:

    def __init__(self, path_epd, file_epd):
        self.path = path_epd
        self.codes_timestamps_reader = MetadataReaderBIN(path_epd, file_epd)
        self.extract_trial()

        self.averages = []

    def extract_trial(self):

        self.amplitude_array = []
        self.timestamp_array = self.codes_timestamps_reader.event_timestamps
        self.codes_array = self.codes_timestamps_reader.event_codes

        self.storage = {128: [], 129: [], 150: []}
        for i in range(len(self.codes_timestamps_reader.channel_info)):
            if i != 0 and i != 21 and i != 32:
                with open(os.path.join(self.path, self.codes_timestamps_reader.channel_info[i].rstrip()),
                          'rb') as channel_info:
                    values_of_channel = channel_info.read()
                self.amplitude = np.frombuffer(values_of_channel, dtype=np.float32)

                self.amplitude_array = self.amplitude[self.timestamp_array[0]:]
                # self.temp_values129 = []
                contor = 0
                for i in range(len(self.timestamp_array) - 1):
                    start_timestamp = self.timestamp_array[i]
                    end_timestamp = self.timestamp_array[i + 1]
                    start_code = self.codes_array[i]
                    end_code = self.codes_array[i + 1]
                    temp_amplitudes = []
                    j = start_timestamp

                    while j < end_timestamp:
                        temp_amplitudes.append(self.amplitude_array[contor])
                        j = j + 1
                        contor = contor + 1

                    if start_code == 128:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

                    if start_code == 129:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

                        # np.concatenate(self.temp_values129,temp_amplitudes)

                    if start_code == 150:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

6059287ecaf55dcac02029a2293db0ab7a9f064a
<mask token>

<mask token>


class TrialExtractorEPD:

    def __init__(self, path_epd, file_epd):
        self.path = path_epd
        self.codes_timestamps_reader = MetadataReaderBIN(path_epd, file_epd)
        self.extract_trial()
        self.averages = []
    <mask token>

<mask token>


class TrialExtractorEPD:

    def __init__(self, path_epd, file_epd):
        self.path = path_epd
        self.codes_timestamps_reader = MetadataReaderBIN(path_epd, file_epd)
        self.extract_trial()
        self.averages = []

    def extract_trial(self):
        self.amplitude_array = []
        self.timestamp_array = self.codes_timestamps_reader.event_timestamps
        self.codes_array = self.codes_timestamps_reader.event_codes
        self.storage = {(128): [], (129): [], (150): []}
        for i in range(len(self.codes_timestamps_reader.channel_info)):
            if i != 0 and i != 21 and i != 32:
                with open(os.path.join(self.path, self.
                    codes_timestamps_reader.channel_info[i].rstrip()), 'rb'
                    ) as channel_info:
                    values_of_channel = channel_info.read()
                self.amplitude = np.frombuffer(values_of_channel, dtype=np.
                    float32)
                self.amplitude_array = self.amplitude[self.timestamp_array[0]:]
                contor = 0
                for i in range(len(self.timestamp_array) - 1):
                    start_timestamp = self.timestamp_array[i]
                    end_timestamp = self.timestamp_array[i + 1]
                    start_code = self.codes_array[i]
                    end_code = self.codes_array[i + 1]
                    temp_amplitudes = []
                    j = start_timestamp
                    while j < end_timestamp:
                        temp_amplitudes.append(self.amplitude_array[contor])
                        j = j + 1
                        contor = contor + 1
                    if start_code == 128:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)
                    if start_code == 129:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)
                    if start_code == 150:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

import os
import sys
import numpy as np
from input_reader.MedataReaderBIN import MetadataReaderBIN


class TrialExtractorEPD:

    def __init__(self, path_epd, file_epd):
        self.path = path_epd
        self.codes_timestamps_reader = MetadataReaderBIN(path_epd, file_epd)
        self.extract_trial()
        self.averages = []

    def extract_trial(self):
        self.amplitude_array = []
        self.timestamp_array = self.codes_timestamps_reader.event_timestamps
        self.codes_array = self.codes_timestamps_reader.event_codes
        self.storage = {(128): [], (129): [], (150): []}
        for i in range(len(self.codes_timestamps_reader.channel_info)):
            if i != 0 and i != 21 and i != 32:
                with open(os.path.join(self.path, self.
                    codes_timestamps_reader.channel_info[i].rstrip()), 'rb'
                    ) as channel_info:
                    values_of_channel = channel_info.read()
                self.amplitude = np.frombuffer(values_of_channel, dtype=np.
                    float32)
                self.amplitude_array = self.amplitude[self.timestamp_array[0]:]
                contor = 0
                for i in range(len(self.timestamp_array) - 1):
                    start_timestamp = self.timestamp_array[i]
                    end_timestamp = self.timestamp_array[i + 1]
                    start_code = self.codes_array[i]
                    end_code = self.codes_array[i + 1]
                    temp_amplitudes = []
                    j = start_timestamp
                    while j < end_timestamp:
                        temp_amplitudes.append(self.amplitude_array[contor])
                        j = j + 1
                        contor = contor + 1
                    if start_code == 128:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)
                    if start_code == 129:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)
                    if start_code == 150:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

import os
import sys
import numpy as np

from input_reader.MedataReaderBIN import MetadataReaderBIN


class TrialExtractorEPD:

    def __init__(self, path_epd, file_epd):
        self.path = path_epd
        self.codes_timestamps_reader = MetadataReaderBIN(path_epd, file_epd)
        self.extract_trial()

        self.averages = []

    def extract_trial(self):

        self.amplitude_array = []
        self.timestamp_array = self.codes_timestamps_reader.event_timestamps
        self.codes_array = self.codes_timestamps_reader.event_codes

        self.storage = {128: [], 129: [], 150: []}
        for i in range(len(self.codes_timestamps_reader.channel_info)):
            if i != 0 and i != 21 and i != 32:
                with open(os.path.join(self.path, self.codes_timestamps_reader.channel_info[i].rstrip()),
                          'rb') as channel_info:
                    values_of_channel = channel_info.read()
                self.amplitude = np.frombuffer(values_of_channel, dtype=np.float32)

                self.amplitude_array = self.amplitude[self.timestamp_array[0]:]
                # self.temp_values129 = []
                contor = 0
                for i in range(len(self.timestamp_array) - 1):
                    start_timestamp = self.timestamp_array[i]
                    end_timestamp = self.timestamp_array[i + 1]
                    start_code = self.codes_array[i]
                    end_code = self.codes_array[i + 1]
                    temp_amplitudes = []
                    j = start_timestamp

                    while j < end_timestamp:
                        temp_amplitudes.append(self.amplitude_array[contor])
                        j = j + 1
                        contor = contor + 1

                    if start_code == 128:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

                    if start_code == 129:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)

                        # np.concatenate(self.temp_values129,temp_amplitudes)

                    if start_code == 150:
                        oldAmplitudes = self.storage[start_code]
                        oldAmplitudes.append(temp_amplitudes)
                        tempDict = {start_code: oldAmplitudes}
                        self.storage.update(tempDict)
