def __init__(self, data, densnet_unet_config, compression_coefficient,
growth_rate, sample_no, validation_samples,
no_sample_per_each_itr, train_tag, validation_tag, test_tag,
img_name, label_name, torso_tag, log_tag, tumor_percent,
other_percent, Logs, fold, server_path):
settings.init()
# ==================================
# densenet_unet parameters:
self.densnet_unet_config = densnet_unet_config
self.compression_coefficient = compression_coefficient
self.growth_rate = growth_rate
# ==================================
self.train_tag = train_tag
self.validation_tag = validation_tag
self.test_tag = test_tag
self.img_name = img_name
self.label_name = label_name
self.torso_tag = torso_tag
self.data = data
# ==================================
self.learning_decay = .95
self.learning_rate = 1E-5
self.beta_rate = 0.05
self.img_padded_size = 519
self.seg_size = 505
self.GTV_patchs_size = 49 # 61#33 # 61
self.patch_window = 63 ##87#79#57#47 73
self.sample_no = sample_no
self.batch_no = 7
self.batch_no_validation = 30
self.validation_samples = validation_samples
self.display_step = 100
self.display_validation_step = 1
self.total_epochs = 10
self.loss_instance = _loss_func()
self.server_path = server_path
self.dropout_keep = .5
self.no_sample_per_each_itr = no_sample_per_each_itr
# self.test_path = '/srv/2-lkeb-17-dl01/syousefi/TestCode/EsophagusProject/Data-01/test/'
self.log_ext = ''.join(map(str, self.densnet_unet_config)) + '_' + str(
self.compression_coefficient) + '_' + str(
self.growth_rate) + log_tag
self.LOGDIR = server_path + Logs + self.log_ext + '/'
self.train_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.train_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.validation_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.chckpnt_dir = server_path + Logs + self.log_ext + '/densenet_unet_checkpoints/'
self.out_path = server_path + '/Outputs/' + self.log_ext + '/'
self.x_hist = 0
self.tumor_percent = tumor_percent
self.other_percent = other_percent
self.fold = fold
def __init__(self, data, densnet_unet_config, compression_coefficient,
growth_rate, sample_no, validation_samples,
no_sample_per_each_itr, train_tag, validation_tag, test_tag,
img_name, label_name, torso_tag, log_tag, tumor_percent, Logs,
fold, server_path):
settings.init()
# densenet_unet parameters
self.densnet_unet_config = densnet_unet_config
self.compression_coefficient = compression_coefficient
self.growth_rate = growth_rate
self.train_tag = train_tag
self.validation_tag = validation_tag
self.test_tag = test_tag
self.img_name = img_name
self.label_name = label_name
self.torso_tag = torso_tag
self.data = data
self.learning_decay = .95
self.learning_rate = 1E-5
self.beta_rate = 0.05
self.img_padded_size = 519
self.seg_size = 505
self.GTV_patchs_size = 49 #output patch
self.patch_window = 63 #input patch
self.sample_no = sample_no
self.batch_no = 7
self.batch_no_validation = 30
self.validation_samples = validation_samples
self.display_step = 100
self.display_validation_step = 1
self.total_epochs = 10
self.loss_instance = _loss_func(
) #an instance from the class of loss functions
self.server_path = server_path
self.dropout_keep = .5
self.no_sample_per_each_itr = no_sample_per_each_itr
self.log_ext = ''.join(map(str, self.densnet_unet_config)) + '_' + str(
self.compression_coefficient) + '_' + str(
self.growth_rate) + log_tag
self.LOGDIR = server_path + Logs + self.log_ext + '/'
self.train_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.train_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.validation_acc_file = server_path + '/Accuracy/' + self.log_ext + '.txt'
self.chckpnt_dir = server_path + Logs + self.log_ext + '/densenet_unet_checkpoints/'
self.out_path = server_path + '/Outputs/' + self.log_ext + '/'
self.x_hist = 0
self.tumor_percent = tumor_percent
self.fold = fold
from handlers.sell_by_trade import sell_by_trade
from handlers.sell_all_positions import sell_all_positions
from handlers.find_trigger import find_trigger
from handlers.get_level_one import get_level_one
from variables.tickers import tickers
from login.client import stream_client2, client
import login.config as config
import functions.settings as settings
import asyncio
# initialize global myDict
settings.init()
######## CREATE THE SOCKET ____________________________________________
async def read_stream():
### SETUP _____________________________________________________________
await stream_client2.login()
await stream_client2.quality_of_service(StreamClient.QOSLevel.EXPRESS)
### GET LEVEL ONE QUOTES specifically last_price ______________________
await stream_client2.level_one_equity_subs(tickers)
stream_client2.add_level_one_equity_handler(get_level_one)
###### #### ### IMPORTANT TO SPECIFY #####
### SELL HOW????_______________________________________________________
