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https://github.com/qodo-ai/pr-agent.git
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example best practice
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@ -26,7 +26,9 @@ jobs:
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OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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```
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** if you want to pin your action to a specific release (v2.0 for example) for stability reasons, use:
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if you want to pin your action to a specific release (v2.0 for example) for stability reasons, use:
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```yaml
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...
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steps:
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@ -35,6 +37,7 @@ jobs:
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uses: Codium-ai/pr-agent@v2.0
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...
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```
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2) Add the following secret to your repository under `Settings > Secrets and variables > Actions > New repository secret > Add secret`:
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```
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@ -1,21 +1,28 @@
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[PR-Agent Pro](https://www.codium.ai/pricing/) is a hosted version of PR-Agent, provided by CodiumAI. It is available for a monthly fee, and provides the following benefits:
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1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the PR-Agent app to your GitHub\GitLab\BitBucket repo.
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2. **Improved privacy** - No data will be stored or used to train models. PR-Agent Pro will employ zero data retention, and will use an OpenAI account with zero data retention.
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3. **Improved support** - PR-Agent Pro users will receive priority support, and will be able to request new features and capabilities.
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4. **Extra features** -In addition to the benefits listed above, PR-Agent Pro will emphasize more customization, and the usage of static code analysis, in addition to LLM logic, to improve results. It has the following additional tools and features:
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- (Tool): [**Analyze PR components**](./tools/analyze.md/)
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- (Tool): [**Custom Prompt Suggestions**](./tools/custom_prompt.md/)
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- (Tool): [**Tests**](./tools/test.md/)
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- (Tool): [**PR documentation**](./tools/documentation.md/)
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- (Tool): [**Improve Component**](https://pr-agent-docs.codium.ai/tools/improve_component/)
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- (Tool): [**Similar code search**](https://pr-agent-docs.codium.ai/tools/similar_code/)
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- (Tool): [**CI feedback**](./tools/ci_feedback.md/)
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- (Feature): [**Interactive triggering**](./usage-guide/automations_and_usage.md/#interactive-triggering)
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- (Feature): [**SOC2 compliance check**](./tools/review.md/#soc2-ticket-compliance)
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- (Feature): [**Custom labels**](./tools/describe.md/#handle-custom-labels-from-the-repos-labels-page)
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- (Feature): [**Global and wiki configuration**](./usage-guide/configuration_options.md/#wiki-configuration-file)
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- (Feature): [**Inline file summary**](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary)
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- (Feature): [**Apply suggestions**](https://pr-agent-docs.codium.ai/tools/improve/#example-usage)
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- (Feature): [**Advanced usage statistics**](https://www.codium.ai/contact/#/)
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5. **Support self-hosted git servers** - PR-Agent Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/).
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4. **Additional tools**
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- [**Analyze PR components**](./tools/analyze.md/)
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- [**Custom Prompt Suggestions**](./tools/custom_prompt.md/)
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- [**Tests**](./tools/test.md/)
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- [**PR documentation**](./tools/documentation.md/)
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- [**Improve Component**](https://pr-agent-docs.codium.ai/tools/improve_component/)
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- [**Similar code search**](https://pr-agent-docs.codium.ai/tools/similar_code/)
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- [**CI feedback**](./tools/ci_feedback.md/)
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5. **Additional features**
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- [**Global and wiki configuration**](./usage-guide/configuration_options.md/#wiki-configuration-file)
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- [**Interactive triggering**](./usage-guide/automations_and_usage.md/#interactive-triggering)
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- [**Apply suggestions**](https://pr-agent-docs.codium.ai/tools/improve/#example-usage)
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- [**Advanced usage statistics**](https://www.codium.ai/contact/#/)
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- [**SOC2 compliance check**](./tools/review.md/#soc2-ticket-compliance)
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- [**Custom labels**](./tools/describe.md/#handle-custom-labels-from-the-repos-labels-page)
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- [**Inline file summary**](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary)
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- More ...
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6. **Supporting self-hosted git servers** - PR-Agent Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/).
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@ -97,22 +97,18 @@ Use triple quotes to write multi-line instructions. Use bullet points or numbers
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#### Best practices 💎
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Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
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This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization (up to 800 lines are allowed)
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This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization
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The AI model will use this page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly.
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Examples for possible best practices:
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```
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## Here are the organization's best practices for writing code:
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- avoid nested loops
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- avoid typos
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- use meaningful variable names
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- follow the DRY principle
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- keep functions short and simple, typically within 10-30 lines of code.
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...
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```
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When a PR code violates any of the guidelines, the AI model will suggest improvements accordingly, with a dedicated label: `Organization
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The AI model will use this page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly, with a dedicated label: `Organization
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best practice`.
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Example for a `best_practices.md` content can be found [here](https://pr-agent-docs.codium.ai/usage-guide/EXAMPLE_BEST_PRACTICE.md) (adapted from Google's [pyguide](https://google.github.io/styleguide/pyguide.html)).
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This file is only an example. Since it is used as a prompt for an AI model, we want to emphasize the following:
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- It should be written in a clear and concise manner
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- If needed, it should give short relevant code snippets as examples
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- Up to 800 lines are allowed
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Example results:
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{width=512}
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docs/docs/usage-guide/EXAMPLE_BEST_PRACTICE.md
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docs/docs/usage-guide/EXAMPLE_BEST_PRACTICE.md
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## Recommend Python best practices
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### Imports
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Use `import` statements for packages and modules only, not for individual types, classes, or functions.
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#### Definition
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Reusability mechanism for sharing code from one module to another.
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#### Decision
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- Use `import x` for importing packages and modules.
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- Use `from x import y` where `x` is the package prefix and `y` is the module name with no prefix.
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- Use `from x import y as z` in any of the following circumstances:
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- Two modules named `y` are to be imported.
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- `y` conflicts with a top-level name defined in the current module.
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- `y` conflicts with a common parameter name that is part of the public API (e.g., `features`).
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- `y` is an inconveniently long name, or too generic in the context of your code
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- Use `import y as z` only when `z` is a standard abbreviation (e.g., `import numpy as np`).
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For example the module `sound.effects.echo` may be imported as follows:
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```
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from sound.effects import echo
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...
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echo.EchoFilter(input, output, delay=0.7, atten=4)
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```
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Do not use relative names in imports. Even if the module is in the same package, use the full package name. This helps prevent unintentionally importing a package twice.
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##### Exemptions
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Exemptions from this rule:
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- Symbols from the following modules are used to support static analysis and type checking:
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- [`typing` module](https://google.github.io/styleguide/pyguide.html#typing-imports)
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- [`collections.abc` module](https://google.github.io/styleguide/pyguide.html#typing-imports)
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- [`typing_extensions` module](https://github.com/python/typing_extensions/blob/main/README.md)
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- Redirects from the [six.moves module](https://six.readthedocs.io/#module-six.moves).
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### Packages
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Import each module using the full pathname location of the module.
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#### Decision
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All new code should import each module by its full package name.
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Imports should be as follows:
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```
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Yes:
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# Reference absl.flags in code with the complete name (verbose).
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import absl.flags
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from doctor.who import jodie
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_FOO = absl.flags.DEFINE_string(...)
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```
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```
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Yes:
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# Reference flags in code with just the module name (common).
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from absl import flags
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from doctor.who import jodie
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_FOO = flags.DEFINE_string(...)
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```
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_(assume this file lives in `doctor/who/` where `jodie.py` also exists)_
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```
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No:
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# Unclear what module the author wanted and what will be imported. The actual
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# import behavior depends on external factors controlling sys.path.
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# Which possible jodie module did the author intend to import?
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import jodie
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```
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The directory the main binary is located in should not be assumed to be in `sys.path` despite that happening in some environments. This being the case, code should assume that `import jodie` refers to a third-party or top-level package named `jodie`, not a local `jodie.py`.
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### Default Iterators and Operators
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Use default iterators and operators for types that support them, like lists, dictionaries, and files.
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#### Definition
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Container types, like dictionaries and lists, define default iterators and membership test operators (“in” and “not in”).
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#### Decision
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Use default iterators and operators for types that support them, like lists, dictionaries, and files. The built-in types define iterator methods, too. Prefer these methods to methods that return lists, except that you should not mutate a container while iterating over it.
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```
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Yes: for key in adict: ...
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if obj in alist: ...
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for line in afile: ...
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for k, v in adict.items(): ...
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```
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```
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No: for key in adict.keys(): ...
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for line in afile.readlines(): ...
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```
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### Lambda Functions
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Okay for one-liners. Prefer generator expressions over `map()` or `filter()` with a `lambda`.
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#### Decision
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Lambdas are allowed. If the code inside the lambda function spans multiple lines or is longer than 60-80 chars, it might be better to define it as a regular [nested function](https://google.github.io/styleguide/pyguide.html#lexical-scoping).
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For common operations like multiplication, use the functions from the `operator` module instead of lambda functions. For example, prefer `operator.mul` to `lambda x, y: x * y`.
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### Default Argument Values
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Okay in most cases.
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#### Definition
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You can specify values for variables at the end of a function’s parameter list, e.g., `def foo(a, b=0):`. If `foo` is called with only one argument, `b` is set to 0. If it is called with two arguments, `b` has the value of the second argument.
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#### Decision
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Okay to use with the following caveat:
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Do not use mutable objects as default values in the function or method definition.
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```
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Yes: def foo(a, b=None):
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if b is None:
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b = []
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Yes: def foo(a, b: Sequence | None = None):
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if b is None:
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b = []
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Yes: def foo(a, b: Sequence = ()): # Empty tuple OK since tuples are immutable.
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...
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```
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```
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from absl import flags
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_FOO = flags.DEFINE_string(...)
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No: def foo(a, b=[]):
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...
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No: def foo(a, b=time.time()): # Is `b` supposed to represent when this module was loaded?
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...
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No: def foo(a, b=_FOO.value): # sys.argv has not yet been parsed...
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...
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No: def foo(a, b: Mapping = {}): # Could still get passed to unchecked code.
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...
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```
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### True/False Evaluations
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Use the “implicit” false if possible, e.g., `if foo:` rather than `if foo != []:`
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### Lexical Scoping
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Okay to use.
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An example of the use of this feature is:
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```
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def get_adder(summand1: float) -> Callable[[float], float]:
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"""Returns a function that adds numbers to a given number."""
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def adder(summand2: float) -> float:
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return summand1 + summand2
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return adder
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```
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#### Decision
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Okay to use.
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### Threading
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Do not rely on the atomicity of built-in types.
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While Python’s built-in data types such as dictionaries appear to have atomic operations, there are corner cases where they aren’t atomic (e.g. if `__hash__` or `__eq__` are implemented as Python methods) and their atomicity should not be relied upon. Neither should you rely on atomic variable assignment (since this in turn depends on dictionaries).
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Use the `queue` module’s `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.
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