rasa: Invalid rule when training when setting a slot of type float

Rasa version: 2.0.3

Python version: 3.7.9

Operating system: Ubuntu 18.04

Issue: I have two rules which start with the same action but have different behaviors depending on the value of the slot that has been set. The slot (matches_found) is of type float with a min of 0 and a max of 1. The rules fail to be validated with the following error (full error below): the action 'action_search' in rule 'Search with results' does not set all the slots, that it sets in other rules: 'matches_found'.

If I use a different type of slot (a boolean slot for example), it does not throw an error. Even if I set matches_found to the exact same value in both rules, it still fails.

Rules

version: "2.0"
rules:
- rule: Search with results
  steps:
  - action: action_search
  - slot_was_set:
    - matches_found: 1
  - action: action_display_apt_selector

- rule: Search without results
  steps:
  - action: action_search
  - slot_was_set:
    - matches_found: 0
  - action: action_no_search_results

Error (including full traceback):

InvalidRule: 
Incomplete rules found🚨

- the action 'action_search' in rule 'Search with results' does not set all the slots, that it sets in other rules: 'matches_found'. Please update the rule with an appropriate slot or if it is the last action add 'wait_for_user_input: false' after this action.
- the action 'action_search' in rule 'Search without results' does not set all the slots, that it sets in other rules: 'matches_found'. Please update the rule with an appropriate slot or if it is the last action add 'wait_for_user_input: false' after this action.
Please note that if some slots or active loops should not be set during prediction you need to explicitly set them to 'null' in the rules.
You can find more information about the usage of rules at https://rasa.com/docs/rasa/rules. 

Command or request that led to error:

rasa train core

Content of configuration file (config.yml) (if relevant):

policies:
  - name: TEDPolicy
    max_history: 7
    epochs: 5
  - name: MemoizationPolicy
    max_history: 5
  - name: RulePolicy

Content of domain file (domain.yml) (if relevant):

slots:
  matches_found:
    max_value: 1
    min_value: 0
    type: float