#Tera term scripting how to#
#Tera term scripting serial#
#Tera term scripting code#

I thought you were talking about this tool. It is the tool I was told to use for the project, I dunno about 13 years, the latest version was dated earlier this year If you know of a similar tool that works better I am open to it Ah, I see you updated with a link. Tera Term Scripting, need help developing a macro Ask Question. I need to figure out a way to use the str2int command to do an expression. I have gotten this variable to work in some cases but I think the problem is that the variable is technically a string type so I can't do traditional loops. I can probably figure out the rest This input is sent to a default variable inputstr.

#Tera term scripting how to#

If anything right now I need to figure out how to take an inputbox input and store it to a variable. I have a very crude outline algorithm that I should describe it. I am trying to develop a script to play a set of tracks using a 'play x' command, where x is the track index. I know Tera Term has a site that lists example macros as well as a command list but I guess what I need is someone with experience scripting in Tera Term. Recently I found out I can do some scripting in Tera Term so I have been doing research to help automate and make testing a little easier.

#Tera term scripting serial#

I am using a Tera Term over a serial port to do some testing on a board. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. The main thing is I only know how to replace once I read the file in python, but since these registers have the pipes in it, they dont read properly.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

#Tera term scripting code#

We use python to deal with data, I researched a bit and couldn't find anything to help me with it, any ideas?Д®dit: So what I want is a way to change this email adresses automatically through code (like -> It doenst need to be pandas or anything, I am accepting ideas of any sort. It is a very boring and time consuming process because the file is that big. There are only 2 customers with this problem but these fellas will have more and more entries every month and we have to manually find them in the csv and change the email by hand. csv is seperated by pipes and the email of the last two people have pipes in it, causing formating problems. Rebecca| y street| | z street| you can see, the. csv in my work that looks something like this: Name| Adress| Email| Paid Value Print('movimento para esquerda => ', pred_proba) Print('movimento para direita => ', pred_proba) Sentiment = model.predict(new_text,batch_size=1,verbose = 2) #new_text = pad_sequences(new_text, maxlen=max_sequence_length, value=0) New_text = pad_sequences(new_text, maxlen=max_sequence_length, dtype='float64', value=0) Scores = model.evaluate(X_test, Y_test, verbose = 0, batch_size = batch_size) If not os.path.exists('./'.format(filename) ) pile(loss = 'binary_crossentropy', optimizer='adam', metrics = ) Model = Model(inputs=model_input, outputs=model_output) Model_output = Dense(2, activation='softmax', name='softmax')(lstm) Lstm = LSTM(embed_dim, dropout=0.2, recurrent_dropout=0.2, name='lstm')(embedding) # lstm = Bidirectional(LSTM(embed_dim, dropout=0.2, recurrent_dropout=0.2, name='lstm'))(embedding) Model_input = Input(shape=input_shape, name='input')Д®mbedding = Embedding(max_features, embed_dim, input_length=max_sequence_length, name='embedding')(model_input) #model_input = Input(shape=input_shape, name='input', dtype='int32') Lstm = LSTM(word_embedding_dim, dropout=0.2, recurrent_dropout=0.2, name='lstm')(embedding) # lstm = Bidirectional(LSTM(word_embedding_dim, dropout=0.2, recurrent_dropout=0.2, name='lstm'))(embedding) Model_input = Input(shape=input_shape, name='input', dtype='float64') Weights_embedding_matrix = load_pre_trained_wv(word_index, num_words, word_embedding_dim) #num_words = min(max_features, len(word_index) + 1) Print('Test Shape:', X_test.shape,Y_test.shape) Print('Train Shape:', X_train.shape,Y_train.shape) X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.1, random_state = 42) Y = pd.get_dummies(data=df.categoria).values #Uma vgez, e a lista STR Г© convertida em lista I can read the dataset(like the picture, using pandas), but cant make this turns into a tensor, tried lots of different ways to make the list to tensor, or array, matrix., but none worked.Дo you have some idea how can I change my csv reading to make the data fit into the tensodflow?ДЇrom sklearn.model_selection import train_test_splitДЇrom sklearn.preprocessing import StandardScalerДЇrom import TokenizerДЇrom import pad_sequencesДЄrg = tf.convert_to_tensor(arg, dtype=tf.float32) I really need your help, I have been trying to figure it out but still no way out of the problem.