Suppress false positive missing method mypy errors.

[obi1kenobi]

Description

Suppress the following false positive mypy type errors, without affecting any of the underlying functionality. Working toward #1496.

arviz/data/inference_data.py:1301: error: "Type[Dataset]" has no attribute "mean"  [attr-defined]
arviz/data/inference_data.py:1302: error: "Type[Dataset]" has no attribute "median"  [attr-defined]
arviz/data/inference_data.py:1303: error: "Type[Dataset]" has no attribute "min"  [attr-defined]
arviz/data/inference_data.py:1304: error: "Type[Dataset]" has no attribute "max"  [attr-defined]
arviz/data/inference_data.py:1305: error: "Type[Dataset]" has no attribute "cumsum"  [attr-defined]
arviz/data/inference_data.py:1306: error: "Type[Dataset]" has no attribute "sum"  [attr-defined]

These errors arise from the fact that the Dataset type has some dynamically-defined methods. Since those methods are not visible to mypy, it assumes they don't exist and therefore their use results in a false-positive type error.

Checklist

• Follows official PR format
• Code style correct (follows pylint and black guidelines)

[codecov]

Codecov Report

Merging #1503 (2c543b4) into master (14875f5) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master    #1503   +/-   ##
=======================================
  Coverage   91.76%   91.76%           
=======================================
  Files         105      105           
  Lines       11316    11316           
=======================================
  Hits        10384    10384           
  Misses        932      932           

Impacted Files	Coverage Δ
arviz/data/inference_data.py	83.81% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 14875f5...2c543b4. Read the comment docs.