Advanced cleaning and validating for GTFS

[CBROWN-ONS]

Description

This issue merges some of the features from #195 This PR will allow for a pipelined approach while cleaning and validating a GTFS.

Motivation and Context

Type of change

• [ ] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [x] Breaking change (fix or feature that would cause existing functionality to not work as expected)

How Has This Been Tested?

Test configuration details:

• OS: Windows 10
• Python version: 3.9.13
• Java version: N/A
• Python management system: MiniConda

Advice for reviewer

Checklist:

• [x] My code follows the intended structure of this project
• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [x] I have made corresponding changes to the documentation
• [x] My changes generate no new warnings
• [x] I have added tests that prove my fix is effective or that my feature works
• [x] New and existing unit tests pass locally with my changes
• [x] Any dependent changes have been merged and published in downstream modules

Additional comments

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 98.81%. Comparing base (cef299b) to head (cdc5b6a).

Additional details and impacted files

```diff @@ Coverage Diff @@ ## dev #256 +/- ## ========================================== + Coverage 98.13% 98.81% +0.67% ========================================== Files 21 21 Lines 1983 2018 +35 ========================================== + Hits 1946 1994 +48 + Misses 37 24 -13 ``` | [Flag](https://app.codecov.io/gh/datasciencecampus/transport-network-performance/pull/256/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/datasciencecampus/transport-network-performance/pull/256/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus) | `98.81% <100.00%> (+0.67%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus#carryforward-flags-in-the-pull-request-comment) to find out more.

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