data-processing

🚨🚨 Feature Request

• A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.

Description of the possible solution

We can catch the error and throw a more descriptive e

Hi, I was wondering, is DALI currently compatible with tensorcom? And if so, are there any examples showing how to use DALI with a tensorcom data server, for example, like this?

Describe the bug
pa.errors.SchemaErrors.failure_cases only returns the first 10 failure_cases

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of pandera. 0.6.5
• (optional) I have confirmed this bug exists on the master branch of pandera.

Note: Please read [this guide](https://matthewrocklin.c

(1) Add docstrings to methods
(2) Covert .format() methods to f strings for readability
(3) Make sure we are using Python 3.8 throughout
(4) zip extract_all() in ingest_flights.py can be simplified with a Path parameter

setting pretrained_model_name will not only define the model arch but also load the pre-trained checkpoint. We should have another hparam to control whether to load pre-trained checkpoint or not.

Hello Benito,

For a specific task I need a "bitwise exclusive or"-function, but I realized xidel doesn't have one. So I created a function for that.

I was wondering if, in addition to the EXPath File Module, you'd be interested in integrating the EXPath Binary Module as well. Then I can use bin:xor() instead (although for

Write unit test coverage for SafeDataset and SafeDataLoader, along with the functions in utils.py.

The exception in subject is thrown by the following code:

from datetime import date
from pysparkling.sql.session import SparkSession
from pysparkling.sql.functions import collect_set

spark = SparkSession.Builder().getOrCreate()

dataset_usage = [
    ('steven', 'UUID1', date(2019, 7, 22)),
]
dataset_usage_schema = 'id: string, datauid: string, access_date: date'

df = spa