How do I script multiple “hideRows” commands?

My goal is to create a checkbox that hides several rows of information below it for every month. I have very very little knowledge of coding but have successfully been able to write a simple code for the first month. For example, In row 19 of my spreadsheet it says “SEPTEMBER” and along side it … Read more

upload large files (1-5 GB) to aws s3 bucket using nodejs

I am trying to upload large files to s3 bucket It uploads files. But It also uploads all chunks and at last it uploads the big file. try { if (!req.file) { return next(new ErrorHandler(‘Files not found’, 400, res)); // Remove ‘res’ from the ErrorHandler constructor } const userId = req.user._id; const bucketName = process.env.BUCKET_NAME; … Read more

How to Read Parquet File in Java Using Parquet-Avro

There seems to be lack of documentation/tutorial in the web about reading Parquet file in Java. I am currently exploring this, https://github.com/apache/parquet-mr and tried this https://github.com/apache/parquet-mr/tree/master/parquet-avro but I am not sure how to use it. I also cannot find any comprehensive documentations and tutorials about using parquet-mr. I tried to follow some codes in this … Read more

What is it mean the class start with “$wift”, in Java MAT?

enter image description here $wift.com.xiaomi.ai.speech.storage.service.AsrPerfCodec $wift.com.xiaomi.ai.speech.storage.service.AsrRecordCodec $wift.com.xiaomi.ai.speech.storage.service.CmdInfoCodec What is it mean the class start with $wift, in Java MAT? 1 The $ is a valid character in an identifier in Java. It is generally recommended not to use it, but apparently that hasn’t stopped Xiaomi from abusing it. The only one who can answer that … Read more

Use MultiplayerSynchronizer via a script Godot 4

here I would like to know if it is possible to use the MultiplayerSynchronizer node via a script because I make instances of scenes and I would then like to synchronize these instances, if it is impossible to use MultiplayerSynchronizer via a script please can you give me another solution to synchronize these instances? I … Read more

Winapi issue setting background color of button

I’m having an issue changing the color of a button in my winapi app. This is my winproc: LRESULT CALLBACK WndProc( HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam ) { HWND A = NULL; switch (message) { case WM_CREATE: A = CreateWindow( L”BUTTON”, L”A”, // Button text WS_TABSTOP | WS_VISIBLE | WS_CHILD, 0, 0, … Read more

Add an increment from XSLT-transformed nodes

I would like to add an increment to an XML element by counting the number of nodes in the source file. This increment is placed in a particular condition that counts the position in a tree structure. Here’s an example of the source file: <ArchiveTransfer> <DataObjectPackage> <DescriptiveMetadata> <ArchiveUnit id=”ID20230407121050277″> <Content> <Title>Information</Title> </Content> <ArchiveUnit id=”ID20230407121050344″> <Content> … Read more

How to Grab the December 1st of This Current Year

Example: I want to grab the 1st of December of the current year using thecurrent date. If the year changes, for example the current_date is now 2024-01-01 I want the 1st of December of the current year for that date instead. Is that possible? You can use truncation functions and add 11 months. For example: … Read more

TypeError: TextInputSequence must be str – Hugging Face Transformers squad_convert_examples_from_dataset Example usage

Example usage is https://huggingface.co/docs/transformers/v4.32.0/en/main_classes/processors#example-usage # tensorflow_datasets only handle Squad V1. tfds_examples = tfds.load(“squad”) examples = SquadV1Processor().get_examples_from_dataset(tfds_examples, evaluate=evaluate) features = squad_convert_examples_to_features( examples=examples, tokenizer=tokenizer, max_seq_length=max_seq_length, doc_stride=args.doc_stride, max_query_length=max_query_length, is_training=not evaluate, ) When I run this example-usage code, I get the error: TypeError: TextInputSequence must be str. The tokenizer I used is: tokenizer = BertTokenizer.from_pretrained(‘bert-base-uncased’) thank you.