Minor improvements

• Local upload bug fix for use within colab + support for update=True for local upload
• Add functionality to list all jobs
• Add functionality to delete annotations
• Updated custom indexing functionality to match new API

Get Model by ID

• Get model by id
• Better error messages for trying to upload local segmentation masks (which is not supported)

Batch export for model runs

Makes it easier/faster to get the full set of predictions uploaded for a given model run

Support for slashes in custom ids/names

Merge pull request #80 from scaleapi/da-escape-chars

Escape Characters

Batch Export

• Batch export functionality for datasets and slices
  https://dashboard.scale.com/nucleus/docs/api?language=python#batch-export

Model prediction class probability distribution bugfix

• Fixes a bug where model prediction uploads would error out if the class_pdf field was not set, even though it's optional.

Remove grequests, better error handling

• Remove grequests as a dependency
• Switch to using aiohttp for local file uploads
• Add warning for large uploads
• Local file uploads will now crash loudly if anything goes wrong on any batch instead of silently proceeding with errors
• Disallow sending NaNs for now since that would mess up querying
• Match all dependency requirements with colab so we stop getting errors when trying to use the client in colab

Async annotation ingest + Send to scale

• Support for large batch asynchronous ingest of annotations/groundtruth/segmentations
• Support for sending a slice to labeling project via API

Async Prediction Ingest

• Adds support for ingesting predictions of all types asynchronously in order to unblock large uploads.

Async Dataset Item ingest

• Dataset.append force argument replaced with update (was inconsistent with documentation)
• Async ingest option available (dataset.append now has an asynchronous flag)
• Async Job object added which can poll status
• Error check for ingesting duplicate reference ids