def _get_next_minibatch(self):
try:
dataBlob, labelBlob,_ = self.iterator.next()
except StopIteration:
filenames = data.get_sentence(self.config.get('datafile'))
labels = data.get_labels(self.config.get('labelfile'))
self.iterator = iter(self.sampleIter(filenames,labels))
dataBlob, labelBlob,_ = self.iterator.next()
return {'data': dataBlob, 'labels': labelBlob }
def setup(self, bottom, top):
"""Setup the ResamplerDataLayer."""
# parse the layer parameter string
layer_config = self.param_str
self.config = util.load_module(layer_config).config
filenames = data.get_sentence(self.config.get('datafile'))
labels = data.get_labels(self.config.get('labelfile'))
self.sampleIter = iterator.SharedIterator(self.config, deterministic=True,batch_size=self.config.get('batch_size'))
self.iterator = iter(self.sampleIter(filenames,labels))
self._name_to_top_map = {
'data': 0,
'labels': 1}
top[0].reshape(self.config.get('batch_size'), 3, self.config.get('h'), self.config.get('w'))
top[1].reshape(self.config.get('batch_size'))
for _,y in Column_dict.items():
tuple_for_db.append(input("What is the value for {}: ".format(y)))
#replace index in case user made a misstake
tuple_for_db[0] = int(tuple_for_db[1] + tuple_for_db[2] + tuple_for_db[3])
tuple_for_db = tuple(tuple_for_db)
try:
db_formulas.add_sentence(tuple_for_db)
print("added the value to the db")
except:
print("Sorry, something went wrong")
elif user_choice == "2":
chosen_index = input("What is the index of the row you want to change: ")
tuple_from_db = db_formulas.get_sentence(int(chosen_index))
#to change a specific value
tuple_from_db = list(tuple_from_db)
print(tuple_from_db)
for item in tuple_from_db:
if input("Do you want to change this item: {} y/n ".format(item)) == "y":
tuple_from_db[tuple_from_db.index(item)] = input("Type the new value in here: ")
tuple_from_db.insert(0,int(chosen_index))
tuple_from_db = tuple(tuple_from_db)
try:
db_formulas.change_sentence(tuple_from_db[0], tuple_from_db[1:])
except:
print("Sorry, something went wrong")
else:
break