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I'm trying to add a percent-based jitter function to the backoff package and use that modified package in my project instead of the PyPI release. Current jitter algorithm I want to implement (from...
#5: Post edited
by
ShadowsRanger
·
2025-10-09T13:25:50Z (11 months ago)
How to add a percent_jitter strategy to backoff/_jitter.py and pass extra args to the decorator?
- How to add a percent_jitter strategy to backoff Python package and pass extra args in the decorator?
- I'm trying to add a percent-based jitter function to the [backoff package](https://pypi.org/project/backoff) and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).- 2. How can I install and use my modified version in my project instead of the PyPI package?
- 3. Alternatively, if modifying the library is too complex, how can I use this custom jitter function with the original backoff package?
- I'm trying to add a percent-based jitter function to the [backoff package](https://pypi.org/project/backoff) and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The [existing jitter functions](https://github.com/litl/backoff/blob/master/backoff/_jitter.py) are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
- 2. How can I install and use my modified version in my project instead of the PyPI package?
- 3. Alternatively, if modifying the library is too complex, how can I use this custom jitter function with the original backoff package?
#4: Post edited
by
ShadowsRanger
·
2025-10-09T13:20:10Z (11 months ago)
- I'm trying to add a percent-based jitter function to the [backoff package](https://pypi.org/project/backoff) and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
2. How can I install and use my modified version in my project instead of the PyPI package?
- I'm trying to add a percent-based jitter function to the [backoff package](https://pypi.org/project/backoff) and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
- 2. How can I install and use my modified version in my project instead of the PyPI package?
- 3. Alternatively, if modifying the library is too complex, how can I use this custom jitter function with the original backoff package?
#3: Post edited
by
ShadowsRanger
·
2025-10-09T13:15:54Z (11 months ago)
I'm trying to add a percent-based jitter function to the backoff package and use that modified package in my project instead of the PyPI release.Current jitter algorithm I want to implement (from Stack Overflow):- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
2. How can I install and use my modified version in my project instead of the PyPI package (options like editable install, installing from a local VCS repo, or publishing a private wheel)?
- I'm trying to add a percent-based jitter function to the [backoff package](https://pypi.org/project/backoff) and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
- 2. How can I install and use my modified version in my project instead of the PyPI package?
#2: Post edited
by
ShadowsRanger
·
2025-10-09T12:26:15Z (11 months ago)
I want to add a new jitter strategy to backoff at: https://github.com/litl/backoff/blob/master/backoff/_jitter.py- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
The existing jitter functions are called with only the backoff value. How can I modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter?
- I'm trying to add a percent-based jitter function to the backoff package and use that modified package in my project instead of the PyPI release.
- Current jitter algorithm I want to implement (from Stack Overflow):
- https://stackoverflow.com/q/46939285
- Proposed function:
- ```py
- def percent_jitter(value: float, percentage: float = 0.2) -> float:
- max_jitter = value * percentage
- return value + random.uniform(-max_jitter, max_jitter)
- ```
- Questions:
- 1. What is the best way to modify the backoff package source to add this percent_jitter function? The existing jitter functions are called with only the backoff value. I would need to modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter(percentage={input}).
- 2. How can I install and use my modified version in my project instead of the PyPI package (options like editable install, installing from a local VCS repo, or publishing a private wheel)?
#1: Initial revision
by
ShadowsRanger
·
2025-10-09T12:21:14Z (11 months ago)
How to add a percent_jitter strategy to backoff/_jitter.py and pass extra args to the decorator?
I want to add a new jitter strategy to backoff at: https://github.com/litl/backoff/blob/master/backoff/_jitter.py
Proposed function:
```py
def percent_jitter(value: float, percentage: float = 0.2) -> float:
max_jitter = value * percentage
return value + random.uniform(-max_jitter, max_jitter)
```
The existing jitter functions are called with only the backoff value. How can I modify the library so a jitter function can accept an extra parameter (like percentage) and let users pass that parameter when applying the @backoff.on_exception with jitter=percent_jitter?