Ryo Kitagawa
Ryo Kitagawa
Hi @goccy! Thank you for the great library! I'd like to propose support for a new built-in ZetaSQL function like the one referenced here: https://github.com/google/zetasql/blob/a516c6b26d183efc4f56293256bba92e243b7a61/zetasql/public/builtin_function.proto#L1349 It seems the current go-zetasql...
Fixes #852 In the document, pandas-gbq returns `datetime64[ns]` or `object`, but in pandas2, it returns `datetime64[us]`. https://googleapis.dev/python/pandas-gbq/latest/reading.html#inferring-the-dataframe-s-dtypes 
#### Environment details - OS type and version: macOS sonoma 14.6 - Python version: 3.11.9 - pip version: I use rye instead of pip. and rye version is 0.35 -...
I think auto enabled lines is a bit confusing. So, I think it is preferable to specify `lines=True` explicitly.
Check default value of parameter. ```python import luigi import gokart class MyTask(gokart.TaskOnKart): foo = luigi.IntParameter(default='s') # Incompatible default for argument "foo" (default has type "str", argument has type "int") ```
#### Environment details - OS type and version: macOS sonoma 14.6 - Python version: 3.11.9 - pip version: I use rye instead of pip. and rye version is 0.35 -...
## Summary This PR adds support for polars DataFrames alongside pandas DataFrames in gokart's file processors. Ta sks can now specify their DataFrame type via the `TaskOnKart[T]` type parameter, and...