Feature Request: Adding 'median' Parameter to RandomInt Mask

### Problem:
Currently, the PIMO tool provides a RandomInt mask for masking data in a JSONline stream. However, it lacks the ability to specify a median parameter for generating random numbers within a range, which can be useful in certain scenarios.

### Proposed Solution:
Integrate a 'median' parameter into the RandomInt mask to allow users to control the distribution of random numbers within the specified range.

### Example:
```yaml
version: "1"
masking:
- selector:
jsonpath: "age"
mask:
randomInt:
min: 25
median: 28
max: 32
```

### Workaround:
While waiting for the integration of the 'median' parameter into the RandomInt mask, users can achieve similar behavior by combining masks. Below is a workaround using existing PIMO masks:

```yaml
version: "1"
masking:
- selector:
jsonpath: "segment"
masks:
- add-transient : ""
- randomChoice:
- "upper"
- "lower"

- selector:
jsonpath: "value"
masks:
- template : |-
{{ if eq .segment "lower" -}}
{{- MaskRandomInt (int .min) (int .median) -}}
{{- else -}}
{{- MaskRandomInt (int .median) (int .max) -}}
{{- end }}
- fromjson: "value"

```
This workaround calculates a random number within the range defined by 'min' and 'max', centered around the 'median' value. It utilizes the existing MaskRandomInt function and template capabilities to achieve the desired behavior.

[try it on pimo play ! ](https://cgi-fr.github.io/pimo-play/#c=G4UwTgzglg9gdgLgAQCICMKBQBbAhhAayjgHMFMkkBaJCEAGxAGMAXGMcyrpAKwngAOuFgAtkKOiWwg4LLNzyEInbtSS4AJhqoswuONBksk4+app64GmNgDCImFCYgVqrjRQBXAQPBm3lB70MADufpgUanSMrOyuXHyCwmKowLj0niD+SIoEypHcNCwg2AL0wiAmSAA+VAUBlADejUhQAGZIIACOSAB0ktKyqMFhYCjUAL4T9Q1NjTQAsvgEAEr61tgAkkMAFMTGvdjEAJRIe0OHIBpQ+qdUUzMBzTQMdJPTs6rPSEuEa1Y2bbGc4HaTXW5nfZ9PAADzuD0+cxeViQCPMSDaYBsiUQqXSmSwQA&i=N4KABGBEBuCGA2BXAppAXFSAacUC2AlgHaRgYAMOEkesAHqRgIzmW43IAmBsJZYATnIgAvkA)

Start by locating the RandomInt mask implementation and the existing MaskRandomInt function, then inspect related mask and configuration tests. Done means the YAML example accepts a median value and generated integers follow the requested min-to-median or median-to-max distribution, with tests covering the range and configuration.

Written by the indexing model from the issue text.