diff --git a/.github/workflows/quality_check_docs.yml b/.github/workflows/quality_check_docs.yml
index 2506412fc5d..26f0205b05d 100644
--- a/.github/workflows/quality_check_docs.yml
+++ b/.github/workflows/quality_check_docs.yml
@@ -47,4 +47,4 @@ jobs:
- name: Build docs
run: |
rm -rf site
- mkdocs build
+ zensical build
diff --git a/.github/workflows/reusable_publish_docs.yml b/.github/workflows/reusable_publish_docs.yml
index e4fef5d3d81..7f0b7abcfe4 100644
--- a/.github/workflows/reusable_publish_docs.yml
+++ b/.github/workflows/reusable_publish_docs.yml
@@ -79,7 +79,7 @@ jobs:
ALIAS: ${{ inputs.alias }}
run: |
rm -rf site
- mkdocs build
+ zensical build
- name: Deploy Docs (Version)
env:
VERSION: ${{ inputs.version }}
diff --git a/Makefile b/Makefile
index c3285496ec9..ad32997bbe0 100644
--- a/Makefile
+++ b/Makefile
@@ -56,11 +56,11 @@ build: pr
uv build --no-sources
docs-local:
- uv run --locked mkdocs serve
+ uv run --locked zensical serve
docs-local-docker:
- docker build -t squidfunk/mkdocs-material ./docs/
- docker run --rm -it -p 8000:8000 -v ${PWD}:/docs squidfunk/mkdocs-material
+ docker build -t powertools-docs ./docs/
+ docker run --rm -it -p 8000:8000 -v ${PWD}:/docs powertools-docs
security-baseline:
uv run --locked bandit --baseline bandit.baseline -r aws_lambda_powertools
diff --git a/aws_lambda_powertools/metrics/base.py b/aws_lambda_powertools/metrics/base.py
index 08ac65aea6a..05c1fcbdfe9 100644
--- a/aws_lambda_powertools/metrics/base.py
+++ b/aws_lambda_powertools/metrics/base.py
@@ -1,7 +1,7 @@
"""
Metrics utility
!!! abstract "Usage Documentation"
- [`Metrics`](../../core/metrics.md)
+ [`Metrics`](../../core/metrics/index.md)
"""
from __future__ import annotations
diff --git a/docs/Dockerfile b/docs/Dockerfile
index fc49b3a319a..7ae7f577e7c 100644
--- a/docs/Dockerfile
+++ b/docs/Dockerfile
@@ -1,5 +1,13 @@
-# v9.1.18
-FROM squidfunk/mkdocs-material@sha256:868ad4d39fb5865b72d00173ade00f4eae2b38dde7ff790a011cc44ce4a8ff8e
+# Local docs preview with Zensical (see `make docs-local-docker`)
+# python:3.12-slim
+FROM python@sha256:a6e34c598f2467ed0e9a8d349809fcd8b5c603269512df273a0bb1784edc11b1
# pip-compile --generate-hashes --output-file=requirements.txt requirements.in
COPY requirements.txt /tmp/
-RUN pip install --require-hashes -r /tmp/requirements.txt
+RUN pip install --no-cache-dir --require-hashes -r /tmp/requirements.txt
+# Same UID as the typical host user, so files written to the mounted volume are not owned by root
+RUN useradd --uid 1000 --create-home docs
+USER docs
+WORKDIR /docs
+EXPOSE 8000
+ENTRYPOINT ["zensical"]
+CMD ["serve", "--dev-addr", "0.0.0.0:8000"]
diff --git a/docs/core/event_handler/api_gateway.md b/docs/core/event_handler/api_gateway.md
index b1cd4c4016f..711ddf6a68f 100644
--- a/docs/core/event_handler/api_gateway.md
+++ b/docs/core/event_handler/api_gateway.md
@@ -23,7 +23,7 @@ Event handler for Amazon API Gateway REST and HTTP APIs, Application Load Balanc
### Install
-!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../../index.md#lambda-layer){target="_blank"}."
+!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../../getting-started/install.md#lambda-layer){target="_blank"}."
**When using the data validation feature**, you need to add `pydantic` as a dependency in your preferred tool _e.g., requirements.txt, pyproject.toml_. At this time, we only support Pydantic V2.
@@ -64,7 +64,7 @@ By default, we will use `APIGatewayRestResolver` throughout the documentation. Y
| **[`ALBResolver`](#application-load-balancer)** | Amazon Application Load Balancer (ALB) |
| **[`LambdaFunctionUrlResolver`](#lambda-function-url)** | AWS Lambda Function URL |
| **[`VPCLatticeResolver`](#vpc-lattice)** | Amazon VPC Lattice |
-| **[`HttpResolverLocal`](#http-resolver-local)** | ASGI-compatible resolver |
+| **[`HttpResolverLocal`](#http-resolver-asgi)** | ASGI-compatible resolver |
#### Response auto-serialization
diff --git a/docs/core/event_handler/bedrock_agents.md b/docs/core/event_handler/bedrock_agents.md
index 30105a06a0e..84e135d2308 100644
--- a/docs/core/event_handler/bedrock_agents.md
+++ b/docs/core/event_handler/bedrock_agents.md
@@ -57,7 +57,7 @@ An action group defines actions that the agent can help the user perform. You ca
### Install
-!!! info "This is unnecessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../../index.md#lambda-layer){target="_blank"}."
+!!! info "This is unnecessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../../getting-started/install.md#lambda-layer){target="_blank"}."
If you define the action group setting up an **OpenAPI schema**, you need to add `pydantic` as a dependency in your preferred tool _e.g., requirements.txt, pyproject.toml_. At this time, we only support Pydantic V2.
diff --git a/docs/core/metrics.md b/docs/core/metrics.md
deleted file mode 100644
index 830bc832e4f..00000000000
--- a/docs/core/metrics.md
+++ /dev/null
@@ -1,478 +0,0 @@
----
-title: Amazon CloudWatch EMF Metrics
-description: Core utility
----
-
-Metrics creates custom metrics asynchronously by logging metrics to standard output following [Amazon CloudWatch Embedded Metric Format (EMF)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format.html){target="_blank"}.
-
-These metrics can be visualized through [Amazon CloudWatch Console](https://console.aws.amazon.com/cloudwatch/){target="_blank"}.
-
-## Key features
-
-* Aggregate up to 100 metrics using a single CloudWatch EMF object (large JSON blob)
-* Validate against common metric definitions mistakes (metric unit, values, max dimensions, max metrics, etc)
-* Metrics are created asynchronously by CloudWatch service, no custom stacks needed
-* Context manager to create a one off metric with a different dimension
-
-## Terminologies
-
-If you're new to Amazon CloudWatch, there are five terminologies you must be aware of before using this utility:
-
-* **Namespace**. It's the highest level container that will group multiple metrics from multiple services for a given application, for example `ServerlessEcommerce`.
-* **Dimensions**. Metrics metadata in key-value format. They help you slice and dice metrics visualization, for example `ColdStart` metric by Payment `service`.
-* **Metric**. It's the name of the metric, for example: `SuccessfulBooking` or `UpdatedBooking`.
-* **Unit**. It's a value representing the unit of measure for the corresponding metric, for example: `Count` or `Seconds`.
-* **Resolution**. It's a value representing the storage resolution for the corresponding metric. Metrics can be either Standard or High resolution. Read more in the [high-resolution metrics documentation](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html#high-resolution-metrics){target="_blank"}.
-
-
- 
- Metric terminology, visually explained
-
-
-## Getting started
-
-???+ tip
- All examples shared in this documentation are available within the [project repository](https://github.com/aws-powertools/powertools-lambda-python/tree/develop/examples){target="_blank"}.
-
-Metric has two global settings that will be used across all metrics emitted:
-
-| Setting | Description | Environment variable | Constructor parameter |
-| ------------------------------- | ------------------------------------------------------------------------------- | ------------------------------ | --------------------- |
-| **Metric namespace** | Logical container where all metrics will be placed e.g. `ServerlessAirline` | `POWERTOOLS_METRICS_NAMESPACE` | `namespace` |
-| **Service** | Optionally, sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME` | `service` |
-
-???+ info
- `POWERTOOLS_METRICS_DISABLED` will not disable default metrics created by AWS services.
-
-???+ tip
- Use your application or main service as the metric namespace to easily group all metrics.
-
-```yaml hl_lines="12-14" title="AWS Serverless Application Model (SAM) example"
---8<-- "examples/metrics/sam/template.yaml"
-```
-
-???+ note
- For brevity, all code snippets in this page will rely on environment variables above being set.
-
- This ensures we instantiate `metrics = Metrics()` over `metrics = Metrics(service="booking", namespace="ServerlessAirline")`, etc.
-
-### Creating metrics
-
-You can create metrics using `add_metric`, and you can create dimensions for all your aggregate metrics using `add_dimension` method.
-
-???+ tip
- You can initialize Metrics in any other module too. It'll keep track of your aggregate metrics in memory to optimize costs (one blob instead of multiples).
-
-=== "add_metrics.py"
-
- ```python hl_lines="10"
- --8<-- "examples/metrics/src/add_metrics.py"
- ```
-
-=== "add_dimension.py"
-
- ```python hl_lines="13"
- --8<-- "examples/metrics/src/add_dimension.py"
- ```
-
-???+ tip "Tip: Autocomplete Metric Units"
- `MetricUnit` enum facilitate finding a supported metric unit by CloudWatch. Alternatively, you can pass the value as a string if you already know them _e.g. `unit="Count"`_.
-
-???+ note "Note: Metrics overflow"
- CloudWatch EMF supports a max of 100 metrics per batch. Metrics utility will flush all metrics when adding the 100th metric. Subsequent metrics (101th+) will be aggregated into a new EMF object, for your convenience.
-
-???+ warning "Warning: Do not create metrics or dimensions outside the handler"
- Metrics or dimensions added in the global scope will only be added during cold start. Disregard if that's the intended behavior.
-
-### Adding high-resolution metrics
-
-You can create [high-resolution metrics](https://aws.amazon.com/about-aws/whats-new/2023/02/amazon-cloudwatch-high-resolution-metric-extraction-structured-logs/){target="_blank"} passing `resolution` parameter to `add_metric`.
-
-???+ tip "When is it useful?"
- High-resolution metrics are data with a granularity of one second and are very useful in several situations such as telemetry, time series, real-time incident management, and others.
-
-=== "add_high_resolution_metrics.py"
-
- ```python hl_lines="10"
- --8<-- "examples/metrics/src/add_high_resolution_metric.py"
- ```
-
-???+ tip "Tip: Autocomplete Metric Resolutions"
- `MetricResolution` enum facilitates finding a supported metric resolution by CloudWatch. Alternatively, you can pass the values 1 or 60 (must be one of them) as an integer _e.g. `resolution=1`_.
-
-### Adding multi-value metrics
-
-You can call `add_metric()` with the same metric name multiple times. The values will be grouped together in a list.
-
-=== "add_multi_value_metrics.py"
-
- ```python hl_lines="14-15"
- --8<-- "examples/metrics/src/add_multi_value_metrics.py"
- ```
-
-=== "add_multi_value_metrics_output.json"
-
- ```python hl_lines="15 24-26"
- --8<-- "examples/metrics/src/add_multi_value_metrics_output.json"
- ```
-
-### Adding default dimensions
-
-You can use `set_default_dimensions` method, or `default_dimensions` parameter in `log_metrics` decorator, to persist dimensions across Lambda invocations.
-
-If you'd like to remove them at some point, you can use `clear_default_dimensions` method.
-
-=== "set_default_dimensions.py"
-
- ```python hl_lines="9"
- --8<-- "examples/metrics/src/set_default_dimensions.py"
- ```
-
-=== "set_default_dimensions_log_metrics.py"
-
- ```python hl_lines="9 13"
- --8<-- "examples/metrics/src/set_default_dimensions_log_metrics.py"
- ```
-
-**Note:** Dimensions with empty values will not be included.
-
-### Adding multiple dimension sets
-
-You can use `add_dimensions` method to create multiple dimension sets in a single EMF blob. This allows you to aggregate metrics across different dimension combinations without emitting separate metric blobs.
-
-Each call to `add_dimensions` creates a new dimension array in the CloudWatch EMF output, enabling different views of the same metric data.
-
-=== "add_dimensions.py"
-
- ```python hl_lines="12-13"
- --8<-- "examples/metrics/src/add_dimensions.py"
- ```
-
-=== "add_dimensions_output.json"
-
- ```json hl_lines="8-12"
- --8<-- "examples/metrics/src/add_dimensions_output.json"
- ```
-
-???+ tip "When to use multiple dimension sets"
- Use `add_dimensions` when you need to query the same metric with different dimension combinations. For example, you might want to see `SuccessfulBooking` aggregated by `environment` alone, or by both `environment` and `region`.
-
-### Changing default timestamp
-
-When creating metrics, we use the current timestamp. If you want to change the timestamp of all the metrics you create, utilize the `set_timestamp` function. You can specify a datetime object or an integer representing an epoch timestamp in milliseconds.
-
-Note that when specifying the timestamp using an integer, it must adhere to the epoch timezone format in milliseconds.
-
-???+ info
- If you need to use different timestamps across multiple metrics, opt for [single_metric](#working-with-different-timestamp).
-
-=== "set_custom_timestamp_log_metrics.py"
-
- ```python hl_lines="15"
- --8<-- "examples/metrics/src/set_custom_timestamp_log_metrics.py"
- ```
-
-### Flushing metrics
-
-As you finish adding all your metrics, you need to serialize and flush them to standard output. You can do that automatically with the `log_metrics` decorator.
-
-This decorator also **validates**, **serializes**, and **flushes** all your metrics. During metrics validation, if no metrics are provided then a warning will be logged, but no exception will be raised.
-
-=== "add_metrics.py"
-
- ```python hl_lines="8"
- --8<-- "examples/metrics/src/add_metrics.py"
- ```
-
-=== "log_metrics_output.json"
-
- ```json hl_lines="6 9 14 21-23"
- --8<-- "examples/metrics/src/log_metrics_output.json"
- ```
-
-???+ tip "Tip: Metric validation"
- If metrics are provided, and any of the following criteria are not met, **`SchemaValidationError`** exception will be raised:
-
- * Maximum of 29 user-defined dimensions
- * Namespace is set, and no more than one
- * Metric units must be [supported by CloudWatch](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html){target="_blank"}
-
-#### Raising SchemaValidationError on empty metrics
-
-If you want to ensure at least one metric is always emitted, you can pass `raise_on_empty_metrics` to the **log_metrics** decorator:
-
-```python hl_lines="7" title="Raising SchemaValidationError exception if no metrics are added"
---8<-- "examples/metrics/src/raise_on_empty_metrics.py"
-```
-
-???+ tip "Suppressing warning messages on empty metrics"
- If you expect your function to execute without publishing metrics every time, you can suppress the warning with **`warnings.filterwarnings("ignore", "No application metrics to publish*")`**.
-
-### Capturing cold start metric
-
-You can optionally capture cold start metrics with `log_metrics` decorator via `capture_cold_start_metric` param.
-
-=== "capture_cold_start_metric.py"
-
- ```python hl_lines="7"
- --8<-- "examples/metrics/src/capture_cold_start_metric.py"
- ```
-
-=== "capture_cold_start_metric_output.json"
-
- ```json hl_lines="9 15 22 24-25"
- --8<-- "examples/metrics/src/capture_cold_start_metric_output.json"
- ```
-
-If it's a cold start invocation, this feature will:
-
-* Create a separate EMF blob solely containing a metric named `ColdStart`
-* Add `function_name` and `service` dimensions
-
-This has the advantage of keeping cold start metric separate from your application metrics, where you might have unrelated dimensions.
-
-???+ info
- We do not emit 0 as a value for ColdStart metric for cost reasons. [Let us know](https://github.com/aws-powertools/powertools-lambda-python/issues/new?assignees=&labels=feature-request%2C+triage&template=feature_request.md&title=){target="_blank"} if you'd prefer a flag to override it.
-
-#### Customizing function name for cold start metrics
-
-When emitting cold start metrics, the `function_name` dimension defaults to `context.function_name`. If you want to change the value you can set the `function_name` parameter in the metrics constructor, or define the environment variable `POWERTOOLS_METRICS_FUNCTION_NAME`.
-
-The priority of the `function_name` dimension value is defined as:
-
-1. `function_name` constructor option
-2. `POWERTOOLS_METRICS_FUNCTION_NAME` environment variable
-3. `context.function_name` property
-
-=== "working_with_custom_cold_start_function_name.py"
-
- ```python hl_lines="4"
- --8<-- "examples/metrics/src/working_with_custom_cold_start_function_name.py"
- ```
-
-### Environment variables
-
-The following environment variable is available to configure Metrics at a global scope:
-
-| Setting | Description | Environment variable | Default |
-| ------------------------------ | ------------------------------------------------------------------- | ---------------------------------- | ------- |
-| **Namespace Name** | Sets **namespace** used for metrics. | `POWERTOOLS_METRICS_NAMESPACE` | `None` |
-| **Service** | Sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME` | `None` |
-| **Function Name** | Function name used as dimension for the **ColdStart** metric. | `POWERTOOLS_METRICS_FUNCTION_NAME` | `None` |
-| **Disable Powertools Metrics** | **Disables** all metrics emitted by Powertools. | `POWERTOOLS_METRICS_DISABLED` | `None` |
-
-`POWERTOOLS_METRICS_NAMESPACE` is also available on a per-instance basis with the `namespace` parameter, which will consequently override the environment variable value.
-
-## Advanced
-
-### Adding metadata
-
-You can add high-cardinality data as part of your Metrics log with `add_metadata` method. This is useful when you want to search highly contextual information along with your metrics in your logs.
-
-???+ info
- **This will not be available during metrics visualization** - Use **dimensions** for this purpose
-
-=== "add_metadata.py"
-
- ```python hl_lines="14"
- --8<-- "examples/metrics/src/add_metadata.py"
- ```
-
-=== "add_metadata_output.json"
-
- ```json hl_lines="22"
- --8<-- "examples/metrics/src/add_metadata_output.json"
- ```
-
-### Single metric
-
-CloudWatch EMF uses the same dimensions and timestamp across all your metrics. Use `single_metric` if you have a metric that should have different dimensions or timestamp.
-
-#### Working with different dimensions
-
-Generally, using different dimensions would be an edge case since you [pay for unique metric](https://aws.amazon.com/cloudwatch/pricing){target="_blank"}.
-
-Keep the following formula in mind: **unique metric = (metric_name + dimension_name + dimension_value)**
-
-=== "single_metric.py"
-
- ```python hl_lines="11"
- --8<-- "examples/metrics/src/single_metric.py"
- ```
-
-=== "single_metric_output.json"
-
- ```json hl_lines="15"
- --8<-- "examples/metrics/src/single_metric_output.json"
- ```
-
-By default it will skip all previously defined dimensions including default dimensions. Use `default_dimensions` keyword argument if you want to reuse default dimensions or specify custom dimensions from a dictionary.
-
-=== "single_metric_default_dimensions_inherit.py"
-
- ```python hl_lines="10 15"
- --8<-- "examples/metrics/src/single_metric_default_dimensions_inherit.py"
- ```
-
-=== "single_metric_default_dimensions.py"
-
- ```python hl_lines="12"
- --8<-- "examples/metrics/src/single_metric_default_dimensions.py"
- ```
-
-#### Working with different timestamp
-
-When working with multiple metrics, customers may need different timestamps between them. In such cases, utilize `single_metric` to flush individual metrics with specific timestamps.
-
-=== "single_metric_with_different_timestamp.py"
-
- ```python hl_lines="15 17"
- --8<-- "examples/metrics/src/single_metric_with_different_timestamp.py"
- ```
-
-=== "single_metric_with_different_timestamp_payload.json"
-
- ```json hl_lines="5 10 15 20 25"
- --8<-- "examples/metrics/src/single_metric_with_different_timestamp_payload.json"
- ```
-
-### Flushing metrics manually
-
-If you are using the [AWS Lambda Web Adapter](https://github.com/awslabs/aws-lambda-web-adapter){target="_blank"} project, or a middleware with custom metric logic, you can use `flush_metrics()`. This method will serialize, print metrics available to standard output, and clear in-memory metrics data.
-
-???+ warning
- This does not capture Cold Start metrics, and metric data validation still applies.
-
-Contrary to the `log_metrics` decorator, you are now also responsible to flush metrics in the event of an exception.
-
-```python hl_lines="18" title="Manually flushing and clearing metrics from memory"
---8<-- "examples/metrics/src/flush_metrics.py"
-```
-
-### Metrics isolation
-
-You can use `EphemeralMetrics` class when looking to isolate multiple instances of metrics with distinct namespaces and/or dimensions.
-
-!!! note "This is a typical use case is for multi-tenant, or emitting same metrics for distinct applications."
-
-```python hl_lines="1 4" title="EphemeralMetrics usage"
---8<-- "examples/metrics/src/ephemeral_metrics.py"
-```
-
-**Differences between `EphemeralMetrics` and `Metrics`**
-
-`EphemeralMetrics` has only one difference while keeping nearly the exact same set of features:
-
-| Feature | Metrics | EphemeralMetrics |
-| --------------------------------------------------------------------- | ------- | ---------------- |
-| **Share data across instances** (metrics, dimensions, metadata, etc.) | Yes | - |
-
-!!! question "Why not changing the default `Metrics` behaviour to not share data across instances?"
-
-This is an intentional design to prevent accidental data deduplication or data loss issues due to [CloudWatch EMF](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format_Specification.html){target="_blank"} metric dimension constraint.
-
-
-In CloudWatch, there are two metric ingestion mechanisms: [EMF (async)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format_Specification.html){target="_blank"} and [`PutMetricData` API (sync)](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.put_metric_data){target="_blank"}.
-
-The former creates metrics asynchronously via CloudWatch Logs, and the latter uses a synchronous and more flexible ingestion API.
-
-!!! important "Key concept"
- CloudWatch [considers a metric unique](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html#Metric){target="_blank"} by a combination of metric **name**, metric **namespace**, and zero or more metric **dimensions**.
-
-With EMF, metric dimensions are shared with any metrics you define. With `PutMetricData` API, you can set a [list](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html){target="_blank"} defining one or more metrics with distinct dimensions.
-
-This is a subtle yet important distinction. Imagine you had the following metrics to emit:
-
-| Metric Name | Dimension | Intent |
-| ---------------------- | ----------------------------------------- | ------------------ |
-| **SuccessfulBooking** | service="booking", **tenant_id**="sample" | Application metric |
-| **IntegrationLatency** | service="booking", function_name="sample" | Operational metric |
-| **ColdStart** | service="booking", function_name="sample" | Operational metric |
-
-The `tenant_id` dimension could vary leading to two common issues:
-
-1. `ColdStart` metric will be created multiple times (N * number of unique tenant_id dimension value), despite the `function_name` being the same
-2. `IntegrationLatency` metric will be also created multiple times due to `tenant_id` as well as `function_name` (may or not be intentional)
-
-These issues are exacerbated when you create **(A)** metric dimensions conditionally, **(B)** multiple metrics' instances throughout your code instead of reusing them (globals). Subsequent metrics' instances will have (or lack) different metric dimensions resulting in different metrics and data points with the same name.
-
-!!! note "Intentional design to address these scenarios"
-
-**On 1**, when you enable [capture_start_metric feature](#capturing-cold-start-metric), we transparently create and flush an additional EMF JSON Blob that is independent from your application metrics. This prevents data pollution.
-
-**On 2**, you can use `EphemeralMetrics` to create an additional EMF JSON Blob from your application metric (`SuccessfulBooking`). This ensures that `IntegrationLatency` operational metric data points aren't tied to any dynamic dimension values like `tenant_id`.
-
-That is why `Metrics` shares data across instances by default, as that covers 80% of use cases and different personas using Powertools. This allows them to instantiate `Metrics` in multiple places throughout their code - be a separate file, a middleware, or an abstraction that sets default dimensions.
-
-### Observability providers
-
-> An observability provider is an [AWS Lambda Partner](https://docs.aws.amazon.com/lambda/latest/dg/extensions-api-partners.html){target="_blank" rel="nofollow"} offering a platform for logging, metrics, traces, etc.
-
-We provide a thin-wrapper on top of the most requested observability providers. We strive to keep a similar UX as close as possible while keeping our value add features.
-
-!!! tip "Missing your preferred provider? Please create a [feature request](https://github.com/aws-powertools/powertools-lambda-python/issues/new?assignees=&labels=feature-request%2Ctriage&projects=&template=feature_request.yml&title=Feature+request%3A+TITLE){target="_blank"}."
-
-Current providers:
-
-| Provider | Notes |
-| ---------------------------------------- | -------------------------------------------------------- |
-| [Datadog](./datadog.md){target="_blank"} | Uses Datadog SDK and Datadog Lambda Extension by default |
-
-## Testing your code
-
-### Setting environment variables
-
-???+ tip
- Ignore this section, if:
-
- * You are explicitly setting namespace/default dimension via `namespace` and `service` parameters
- * You're not instantiating `Metrics` in the global namespace
-
- For example, `Metrics(namespace="ServerlessAirline", service="booking")`
-
-Make sure to set `POWERTOOLS_METRICS_NAMESPACE` and `POWERTOOLS_SERVICE_NAME` before running your tests to prevent failing on `SchemaValidation` exception. You can set it before you run tests or via pytest plugins like [dotenv](https://pypi.org/project/pytest-dotenv/){target="_blank" rel="nofollow"}.
-
-```bash title="Injecting dummy Metric Namespace before running tests"
---8<-- "examples/metrics/src/run_tests_env_var.sh"
-```
-
-### Clearing metrics
-
-`Metrics` keep metrics in memory across multiple instances. If you need to test this behavior, you can use the following Pytest fixture to ensure metrics are reset incl. cold start:
-
-```python title="Clearing metrics between tests"
---8<-- "examples/metrics/src/clear_metrics_in_tests.py"
-```
-
-### Functional testing
-
-You can read standard output and assert whether metrics have been flushed. Here's an example using `pytest` with `capsys` built-in fixture:
-
-=== "assert_single_emf_blob.py"
-
- ```python hl_lines="6 9-10 23-34"
- --8<-- "examples/metrics/src/assert_single_emf_blob.py"
- ```
-
-=== "add_metrics.py"
-
- ```python
- --8<-- "examples/metrics/src/add_metrics.py"
- ```
-
-=== "assert_multiple_emf_blobs.py"
-
- This will be needed when using `capture_cold_start_metric=True`, or when both `Metrics` and `single_metric` are used.
-
- ```python hl_lines="21-22 28"
- --8<-- "examples/metrics/src/assert_multiple_emf_blobs.py"
- ```
-
-=== "assert_multiple_emf_blobs_module.py"
-
- ```python
- --8<-- "examples/metrics/src/assert_multiple_emf_blobs_module.py"
- ```
-
-???+ tip
- For more elaborate assertions and comparisons, check out [our functional testing for Metrics utility.](https://github.com/aws-powertools/powertools-lambda-python/blob/develop/tests/functional/metrics/required_dependencies/test_metrics_cloudwatch_emf.py){target="_blank"}
diff --git a/docs/core/metrics/index.md b/docs/core/metrics/index.md
index 359ce28eb33..e7d1e804df3 100644
--- a/docs/core/metrics/index.md
+++ b/docs/core/metrics/index.md
@@ -3,4 +3,476 @@ title: Metrics
description: Core utility
---
---8<-- "docs/core/metrics.md"
+Metrics creates custom metrics asynchronously by logging metrics to standard output following [Amazon CloudWatch Embedded Metric Format (EMF)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format.html){target="_blank"}.
+
+These metrics can be visualized through [Amazon CloudWatch Console](https://console.aws.amazon.com/cloudwatch/){target="_blank"}.
+
+## Key features
+
+* Aggregate up to 100 metrics using a single CloudWatch EMF object (large JSON blob)
+* Validate against common metric definitions mistakes (metric unit, values, max dimensions, max metrics, etc)
+* Metrics are created asynchronously by CloudWatch service, no custom stacks needed
+* Context manager to create a one off metric with a different dimension
+
+## Terminologies
+
+If you're new to Amazon CloudWatch, there are five terminologies you must be aware of before using this utility:
+
+* **Namespace**. It's the highest level container that will group multiple metrics from multiple services for a given application, for example `ServerlessEcommerce`.
+* **Dimensions**. Metrics metadata in key-value format. They help you slice and dice metrics visualization, for example `ColdStart` metric by Payment `service`.
+* **Metric**. It's the name of the metric, for example: `SuccessfulBooking` or `UpdatedBooking`.
+* **Unit**. It's a value representing the unit of measure for the corresponding metric, for example: `Count` or `Seconds`.
+* **Resolution**. It's a value representing the storage resolution for the corresponding metric. Metrics can be either Standard or High resolution. Read more in the [high-resolution metrics documentation](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html#high-resolution-metrics){target="_blank"}.
+
+
+
+ Metric terminology, visually explained
+
+
+## Getting started
+
+???+ tip
+ All examples shared in this documentation are available within the [project repository](https://github.com/aws-powertools/powertools-lambda-python/tree/develop/examples){target="_blank"}.
+
+Metric has two global settings that will be used across all metrics emitted:
+
+| Setting | Description | Environment variable | Constructor parameter |
+| ------------------------------- | ------------------------------------------------------------------------------- | ------------------------------ | --------------------- |
+| **Metric namespace** | Logical container where all metrics will be placed e.g. `ServerlessAirline` | `POWERTOOLS_METRICS_NAMESPACE` | `namespace` |
+| **Service** | Optionally, sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME` | `service` |
+
+???+ info
+ `POWERTOOLS_METRICS_DISABLED` will not disable default metrics created by AWS services.
+
+???+ tip
+ Use your application or main service as the metric namespace to easily group all metrics.
+
+```yaml hl_lines="12-14" title="AWS Serverless Application Model (SAM) example"
+--8<-- "examples/metrics/sam/template.yaml"
+```
+
+???+ note
+ For brevity, all code snippets in this page will rely on environment variables above being set.
+
+ This ensures we instantiate `metrics = Metrics()` over `metrics = Metrics(service="booking", namespace="ServerlessAirline")`, etc.
+
+### Creating metrics
+
+You can create metrics using `add_metric`, and you can create dimensions for all your aggregate metrics using `add_dimension` method.
+
+???+ tip
+ You can initialize Metrics in any other module too. It'll keep track of your aggregate metrics in memory to optimize costs (one blob instead of multiples).
+
+=== "add_metrics.py"
+
+ ```python hl_lines="10"
+ --8<-- "examples/metrics/src/add_metrics.py"
+ ```
+
+=== "add_dimension.py"
+
+ ```python hl_lines="13"
+ --8<-- "examples/metrics/src/add_dimension.py"
+ ```
+
+???+ tip "Tip: Autocomplete Metric Units"
+ `MetricUnit` enum facilitate finding a supported metric unit by CloudWatch. Alternatively, you can pass the value as a string if you already know them _e.g. `unit="Count"`_.
+
+???+ note "Note: Metrics overflow"
+ CloudWatch EMF supports a max of 100 metrics per batch. Metrics utility will flush all metrics when adding the 100th metric. Subsequent metrics (101th+) will be aggregated into a new EMF object, for your convenience.
+
+???+ warning "Warning: Do not create metrics or dimensions outside the handler"
+ Metrics or dimensions added in the global scope will only be added during cold start. Disregard if that's the intended behavior.
+
+### Adding high-resolution metrics
+
+You can create [high-resolution metrics](https://aws.amazon.com/about-aws/whats-new/2023/02/amazon-cloudwatch-high-resolution-metric-extraction-structured-logs/){target="_blank"} passing `resolution` parameter to `add_metric`.
+
+???+ tip "When is it useful?"
+ High-resolution metrics are data with a granularity of one second and are very useful in several situations such as telemetry, time series, real-time incident management, and others.
+
+=== "add_high_resolution_metrics.py"
+
+ ```python hl_lines="10"
+ --8<-- "examples/metrics/src/add_high_resolution_metric.py"
+ ```
+
+???+ tip "Tip: Autocomplete Metric Resolutions"
+ `MetricResolution` enum facilitates finding a supported metric resolution by CloudWatch. Alternatively, you can pass the values 1 or 60 (must be one of them) as an integer _e.g. `resolution=1`_.
+
+### Adding multi-value metrics
+
+You can call `add_metric()` with the same metric name multiple times. The values will be grouped together in a list.
+
+=== "add_multi_value_metrics.py"
+
+ ```python hl_lines="14-15"
+ --8<-- "examples/metrics/src/add_multi_value_metrics.py"
+ ```
+
+=== "add_multi_value_metrics_output.json"
+
+ ```python hl_lines="15 24-26"
+ --8<-- "examples/metrics/src/add_multi_value_metrics_output.json"
+ ```
+
+### Adding default dimensions
+
+You can use `set_default_dimensions` method, or `default_dimensions` parameter in `log_metrics` decorator, to persist dimensions across Lambda invocations.
+
+If you'd like to remove them at some point, you can use `clear_default_dimensions` method.
+
+=== "set_default_dimensions.py"
+
+ ```python hl_lines="9"
+ --8<-- "examples/metrics/src/set_default_dimensions.py"
+ ```
+
+=== "set_default_dimensions_log_metrics.py"
+
+ ```python hl_lines="9 13"
+ --8<-- "examples/metrics/src/set_default_dimensions_log_metrics.py"
+ ```
+
+**Note:** Dimensions with empty values will not be included.
+
+### Adding multiple dimension sets
+
+You can use `add_dimensions` method to create multiple dimension sets in a single EMF blob. This allows you to aggregate metrics across different dimension combinations without emitting separate metric blobs.
+
+Each call to `add_dimensions` creates a new dimension array in the CloudWatch EMF output, enabling different views of the same metric data.
+
+=== "add_dimensions.py"
+
+ ```python hl_lines="12-13"
+ --8<-- "examples/metrics/src/add_dimensions.py"
+ ```
+
+=== "add_dimensions_output.json"
+
+ ```json hl_lines="8-12"
+ --8<-- "examples/metrics/src/add_dimensions_output.json"
+ ```
+
+???+ tip "When to use multiple dimension sets"
+ Use `add_dimensions` when you need to query the same metric with different dimension combinations. For example, you might want to see `SuccessfulBooking` aggregated by `environment` alone, or by both `environment` and `region`.
+
+### Changing default timestamp
+
+When creating metrics, we use the current timestamp. If you want to change the timestamp of all the metrics you create, utilize the `set_timestamp` function. You can specify a datetime object or an integer representing an epoch timestamp in milliseconds.
+
+Note that when specifying the timestamp using an integer, it must adhere to the epoch timezone format in milliseconds.
+
+???+ info
+ If you need to use different timestamps across multiple metrics, opt for [single_metric](#working-with-different-timestamp).
+
+=== "set_custom_timestamp_log_metrics.py"
+
+ ```python hl_lines="15"
+ --8<-- "examples/metrics/src/set_custom_timestamp_log_metrics.py"
+ ```
+
+### Flushing metrics
+
+As you finish adding all your metrics, you need to serialize and flush them to standard output. You can do that automatically with the `log_metrics` decorator.
+
+This decorator also **validates**, **serializes**, and **flushes** all your metrics. During metrics validation, if no metrics are provided then a warning will be logged, but no exception will be raised.
+
+=== "add_metrics.py"
+
+ ```python hl_lines="8"
+ --8<-- "examples/metrics/src/add_metrics.py"
+ ```
+
+=== "log_metrics_output.json"
+
+ ```json hl_lines="6 9 14 21-23"
+ --8<-- "examples/metrics/src/log_metrics_output.json"
+ ```
+
+???+ tip "Tip: Metric validation"
+ If metrics are provided, and any of the following criteria are not met, **`SchemaValidationError`** exception will be raised:
+
+ * Maximum of 29 user-defined dimensions
+ * Namespace is set, and no more than one
+ * Metric units must be [supported by CloudWatch](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html){target="_blank"}
+
+#### Raising SchemaValidationError on empty metrics
+
+If you want to ensure at least one metric is always emitted, you can pass `raise_on_empty_metrics` to the **log_metrics** decorator:
+
+```python hl_lines="7" title="Raising SchemaValidationError exception if no metrics are added"
+--8<-- "examples/metrics/src/raise_on_empty_metrics.py"
+```
+
+???+ tip "Suppressing warning messages on empty metrics"
+ If you expect your function to execute without publishing metrics every time, you can suppress the warning with **`warnings.filterwarnings("ignore", "No application metrics to publish*")`**.
+
+### Capturing cold start metric
+
+You can optionally capture cold start metrics with `log_metrics` decorator via `capture_cold_start_metric` param.
+
+=== "capture_cold_start_metric.py"
+
+ ```python hl_lines="7"
+ --8<-- "examples/metrics/src/capture_cold_start_metric.py"
+ ```
+
+=== "capture_cold_start_metric_output.json"
+
+ ```json hl_lines="9 15 22 24-25"
+ --8<-- "examples/metrics/src/capture_cold_start_metric_output.json"
+ ```
+
+If it's a cold start invocation, this feature will:
+
+* Create a separate EMF blob solely containing a metric named `ColdStart`
+* Add `function_name` and `service` dimensions
+
+This has the advantage of keeping cold start metric separate from your application metrics, where you might have unrelated dimensions.
+
+???+ info
+ We do not emit 0 as a value for ColdStart metric for cost reasons. [Let us know](https://github.com/aws-powertools/powertools-lambda-python/issues/new?assignees=&labels=feature-request%2C+triage&template=feature_request.md&title=){target="_blank"} if you'd prefer a flag to override it.
+
+#### Customizing function name for cold start metrics
+
+When emitting cold start metrics, the `function_name` dimension defaults to `context.function_name`. If you want to change the value you can set the `function_name` parameter in the metrics constructor, or define the environment variable `POWERTOOLS_METRICS_FUNCTION_NAME`.
+
+The priority of the `function_name` dimension value is defined as:
+
+1. `function_name` constructor option
+2. `POWERTOOLS_METRICS_FUNCTION_NAME` environment variable
+3. `context.function_name` property
+
+=== "working_with_custom_cold_start_function_name.py"
+
+ ```python hl_lines="4"
+ --8<-- "examples/metrics/src/working_with_custom_cold_start_function_name.py"
+ ```
+
+### Environment variables
+
+The following environment variable is available to configure Metrics at a global scope:
+
+| Setting | Description | Environment variable | Default |
+| ------------------------------ | ------------------------------------------------------------------- | ---------------------------------- | ------- |
+| **Namespace Name** | Sets **namespace** used for metrics. | `POWERTOOLS_METRICS_NAMESPACE` | `None` |
+| **Service** | Sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME` | `None` |
+| **Function Name** | Function name used as dimension for the **ColdStart** metric. | `POWERTOOLS_METRICS_FUNCTION_NAME` | `None` |
+| **Disable Powertools Metrics** | **Disables** all metrics emitted by Powertools. | `POWERTOOLS_METRICS_DISABLED` | `None` |
+
+`POWERTOOLS_METRICS_NAMESPACE` is also available on a per-instance basis with the `namespace` parameter, which will consequently override the environment variable value.
+
+## Advanced
+
+### Adding metadata
+
+You can add high-cardinality data as part of your Metrics log with `add_metadata` method. This is useful when you want to search highly contextual information along with your metrics in your logs.
+
+???+ info
+ **This will not be available during metrics visualization** - Use **dimensions** for this purpose
+
+=== "add_metadata.py"
+
+ ```python hl_lines="14"
+ --8<-- "examples/metrics/src/add_metadata.py"
+ ```
+
+=== "add_metadata_output.json"
+
+ ```json hl_lines="22"
+ --8<-- "examples/metrics/src/add_metadata_output.json"
+ ```
+
+### Single metric
+
+CloudWatch EMF uses the same dimensions and timestamp across all your metrics. Use `single_metric` if you have a metric that should have different dimensions or timestamp.
+
+#### Working with different dimensions
+
+Generally, using different dimensions would be an edge case since you [pay for unique metric](https://aws.amazon.com/cloudwatch/pricing){target="_blank"}.
+
+Keep the following formula in mind: **unique metric = (metric_name + dimension_name + dimension_value)**
+
+=== "single_metric.py"
+
+ ```python hl_lines="11"
+ --8<-- "examples/metrics/src/single_metric.py"
+ ```
+
+=== "single_metric_output.json"
+
+ ```json hl_lines="15"
+ --8<-- "examples/metrics/src/single_metric_output.json"
+ ```
+
+By default it will skip all previously defined dimensions including default dimensions. Use `default_dimensions` keyword argument if you want to reuse default dimensions or specify custom dimensions from a dictionary.
+
+=== "single_metric_default_dimensions_inherit.py"
+
+ ```python hl_lines="10 15"
+ --8<-- "examples/metrics/src/single_metric_default_dimensions_inherit.py"
+ ```
+
+=== "single_metric_default_dimensions.py"
+
+ ```python hl_lines="12"
+ --8<-- "examples/metrics/src/single_metric_default_dimensions.py"
+ ```
+
+#### Working with different timestamp
+
+When working with multiple metrics, customers may need different timestamps between them. In such cases, utilize `single_metric` to flush individual metrics with specific timestamps.
+
+=== "single_metric_with_different_timestamp.py"
+
+ ```python hl_lines="15 17"
+ --8<-- "examples/metrics/src/single_metric_with_different_timestamp.py"
+ ```
+
+=== "single_metric_with_different_timestamp_payload.json"
+
+ ```json hl_lines="5 10 15 20 25"
+ --8<-- "examples/metrics/src/single_metric_with_different_timestamp_payload.json"
+ ```
+
+### Flushing metrics manually
+
+If you are using the [AWS Lambda Web Adapter](https://github.com/awslabs/aws-lambda-web-adapter){target="_blank"} project, or a middleware with custom metric logic, you can use `flush_metrics()`. This method will serialize, print metrics available to standard output, and clear in-memory metrics data.
+
+???+ warning
+ This does not capture Cold Start metrics, and metric data validation still applies.
+
+Contrary to the `log_metrics` decorator, you are now also responsible to flush metrics in the event of an exception.
+
+```python hl_lines="18" title="Manually flushing and clearing metrics from memory"
+--8<-- "examples/metrics/src/flush_metrics.py"
+```
+
+### Metrics isolation
+
+You can use `EphemeralMetrics` class when looking to isolate multiple instances of metrics with distinct namespaces and/or dimensions.
+
+!!! note "This is a typical use case is for multi-tenant, or emitting same metrics for distinct applications."
+
+```python hl_lines="1 4" title="EphemeralMetrics usage"
+--8<-- "examples/metrics/src/ephemeral_metrics.py"
+```
+
+**Differences between `EphemeralMetrics` and `Metrics`**
+
+`EphemeralMetrics` has only one difference while keeping nearly the exact same set of features:
+
+| Feature | Metrics | EphemeralMetrics |
+| --------------------------------------------------------------------- | ------- | ---------------- |
+| **Share data across instances** (metrics, dimensions, metadata, etc.) | Yes | - |
+
+!!! question "Why not changing the default `Metrics` behaviour to not share data across instances?"
+
+This is an intentional design to prevent accidental data deduplication or data loss issues due to [CloudWatch EMF](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format_Specification.html){target="_blank"} metric dimension constraint.
+
+
+In CloudWatch, there are two metric ingestion mechanisms: [EMF (async)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format_Specification.html){target="_blank"} and [`PutMetricData` API (sync)](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.put_metric_data){target="_blank"}.
+
+The former creates metrics asynchronously via CloudWatch Logs, and the latter uses a synchronous and more flexible ingestion API.
+
+!!! important "Key concept"
+ CloudWatch [considers a metric unique](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html#Metric){target="_blank"} by a combination of metric **name**, metric **namespace**, and zero or more metric **dimensions**.
+
+With EMF, metric dimensions are shared with any metrics you define. With `PutMetricData` API, you can set a [list](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html){target="_blank"} defining one or more metrics with distinct dimensions.
+
+This is a subtle yet important distinction. Imagine you had the following metrics to emit:
+
+| Metric Name | Dimension | Intent |
+| ---------------------- | ----------------------------------------- | ------------------ |
+| **SuccessfulBooking** | service="booking", **tenant_id**="sample" | Application metric |
+| **IntegrationLatency** | service="booking", function_name="sample" | Operational metric |
+| **ColdStart** | service="booking", function_name="sample" | Operational metric |
+
+The `tenant_id` dimension could vary leading to two common issues:
+
+1. `ColdStart` metric will be created multiple times (N * number of unique tenant_id dimension value), despite the `function_name` being the same
+2. `IntegrationLatency` metric will be also created multiple times due to `tenant_id` as well as `function_name` (may or not be intentional)
+
+These issues are exacerbated when you create **(A)** metric dimensions conditionally, **(B)** multiple metrics' instances throughout your code instead of reusing them (globals). Subsequent metrics' instances will have (or lack) different metric dimensions resulting in different metrics and data points with the same name.
+
+!!! note "Intentional design to address these scenarios"
+
+**On 1**, when you enable [capture_start_metric feature](#capturing-cold-start-metric), we transparently create and flush an additional EMF JSON Blob that is independent from your application metrics. This prevents data pollution.
+
+**On 2**, you can use `EphemeralMetrics` to create an additional EMF JSON Blob from your application metric (`SuccessfulBooking`). This ensures that `IntegrationLatency` operational metric data points aren't tied to any dynamic dimension values like `tenant_id`.
+
+That is why `Metrics` shares data across instances by default, as that covers 80% of use cases and different personas using Powertools. This allows them to instantiate `Metrics` in multiple places throughout their code - be a separate file, a middleware, or an abstraction that sets default dimensions.
+
+### Observability providers
+
+> An observability provider is an [AWS Lambda Partner](https://docs.aws.amazon.com/lambda/latest/dg/extensions-api-partners.html){target="_blank" rel="nofollow"} offering a platform for logging, metrics, traces, etc.
+
+We provide a thin-wrapper on top of the most requested observability providers. We strive to keep a similar UX as close as possible while keeping our value add features.
+
+!!! tip "Missing your preferred provider? Please create a [feature request](https://github.com/aws-powertools/powertools-lambda-python/issues/new?assignees=&labels=feature-request%2Ctriage&projects=&template=feature_request.yml&title=Feature+request%3A+TITLE){target="_blank"}."
+
+Current providers:
+
+| Provider | Notes |
+| ---------------------------------------- | -------------------------------------------------------- |
+| [Datadog](./datadog.md){target="_blank"} | Uses Datadog SDK and Datadog Lambda Extension by default |
+
+## Testing your code
+
+### Setting environment variables
+
+???+ tip
+ Ignore this section, if:
+
+ * You are explicitly setting namespace/default dimension via `namespace` and `service` parameters
+ * You're not instantiating `Metrics` in the global namespace
+
+ For example, `Metrics(namespace="ServerlessAirline", service="booking")`
+
+Make sure to set `POWERTOOLS_METRICS_NAMESPACE` and `POWERTOOLS_SERVICE_NAME` before running your tests to prevent failing on `SchemaValidation` exception. You can set it before you run tests or via pytest plugins like [dotenv](https://pypi.org/project/pytest-dotenv/){target="_blank" rel="nofollow"}.
+
+```bash title="Injecting dummy Metric Namespace before running tests"
+--8<-- "examples/metrics/src/run_tests_env_var.sh"
+```
+
+### Clearing metrics
+
+`Metrics` keep metrics in memory across multiple instances. If you need to test this behavior, you can use the following Pytest fixture to ensure metrics are reset incl. cold start:
+
+```python title="Clearing metrics between tests"
+--8<-- "examples/metrics/src/clear_metrics_in_tests.py"
+```
+
+### Functional testing
+
+You can read standard output and assert whether metrics have been flushed. Here's an example using `pytest` with `capsys` built-in fixture:
+
+=== "assert_single_emf_blob.py"
+
+ ```python hl_lines="6 9-10 23-34"
+ --8<-- "examples/metrics/src/assert_single_emf_blob.py"
+ ```
+
+=== "add_metrics.py"
+
+ ```python
+ --8<-- "examples/metrics/src/add_metrics.py"
+ ```
+
+=== "assert_multiple_emf_blobs.py"
+
+ This will be needed when using `capture_cold_start_metric=True`, or when both `Metrics` and `single_metric` are used.
+
+ ```python hl_lines="21-22 28"
+ --8<-- "examples/metrics/src/assert_multiple_emf_blobs.py"
+ ```
+
+=== "assert_multiple_emf_blobs_module.py"
+
+ ```python
+ --8<-- "examples/metrics/src/assert_multiple_emf_blobs_module.py"
+ ```
+
+???+ tip
+ For more elaborate assertions and comparisons, check out [our functional testing for Metrics utility.](https://github.com/aws-powertools/powertools-lambda-python/blob/develop/tests/functional/metrics/required_dependencies/test_metrics_cloudwatch_emf.py){target="_blank"}
diff --git a/docs/core/tracer.md b/docs/core/tracer.md
index 0b5d2a7b333..2971e7db0dc 100644
--- a/docs/core/tracer.md
+++ b/docs/core/tracer.md
@@ -23,7 +23,7 @@ Tracer is an opinionated thin wrapper for [AWS X-Ray Python SDK](https://github.
### Install
-!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../index.md#lambda-layer){target="_blank"}"
+!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../getting-started/install.md#lambda-layer){target="_blank"}"
Add `aws-lambda-powertools[tracer]` as a dependency in your preferred tool: _e.g._, _requirements.txt_, _pyproject.toml_. This will ensure you have the required dependencies before using Tracer.
diff --git a/docs/index.md b/docs/index.md
index 6a4c1317b0f..972919987da 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -51,7 +51,7 @@ Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverles
| ------- | ----------- |
| [Tracer](./core/tracer.md) | Decorators and utilities to trace Lambda function handlers, and both synchronous and asynchronous functions |
| [Logger](./core/logger.md) | Structured logging made easier, and target to enrich structured logging with key Lambda context details |
-| [Metrics](./core/metrics.md) | Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF) |
+| [Metrics](./core/metrics/index.md) | Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF) |
| [Event Handler](./core/event_handler/api_gateway.md) | Event handler for API Gateway, ALB, Lambda Function URL, VPC Lattice, AppSync, and Bedrock Agents |
| [Parameters](./utilities/parameters.md) | Retrieve and cache parameter values from Parameter Store, Secrets Manager, AppConfig, or DynamoDB |
| [Auth (alpha)](./utilities/auth.md) | Verify JWT access tokens and [acquire client-credentials tokens](./utilities/oauth2.md) for downstream APIs |
@@ -89,8 +89,8 @@ For a more complete example, check the [Powertools for AWS workshop](https://cat
| `POWERTOOLS_LOG_LEVEL` | Sets logging level | [Logger](./core/logger.md) | `INFO` |
| `POWERTOOLS_LOGGER_LOG_EVENT` | Logs incoming event | [Logger](./core/logger.md) | `false` |
| `POWERTOOLS_LOGGER_SAMPLE_RATE` | Debug log sampling | [Logger](./core/logger.md) | `0` |
-| `POWERTOOLS_METRICS_NAMESPACE` | Namespace for metrics | [Metrics](./core/metrics.md) | `None` |
-| `POWERTOOLS_METRICS_DISABLED` | Disables metrics emission | [Metrics](./core/metrics.md) | `false` |
+| `POWERTOOLS_METRICS_NAMESPACE` | Namespace for metrics | [Metrics](./core/metrics/index.md) | `None` |
+| `POWERTOOLS_METRICS_DISABLED` | Disables metrics emission | [Metrics](./core/metrics/index.md) | `false` |
| `POWERTOOLS_TRACE_DISABLED` | Disables tracing | [Tracer](./core/tracer.md) | `false` |
| `POWERTOOLS_TRACER_CAPTURE_RESPONSE` | Captures return as metadata | [Tracer](./core/tracer.md) | `true` |
| `POWERTOOLS_TRACER_CAPTURE_ERROR` | Captures exception as metadata | [Tracer](./core/tracer.md) | `true` |
diff --git a/docs/requirements.in b/docs/requirements.in
index 6664e88d346..ef88266eef5 100644
--- a/docs/requirements.in
+++ b/docs/requirements.in
@@ -1,4 +1,2 @@
-mkdocs-git-revision-date-plugin==0.3.2
-mkdocstrings-python==1.19.0
-mkdocs-llmstxt==0.5.0
-mkdocs-material==9.7.7
+zensical==0.0.71
+mkdocstrings-python==2.0.9
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 8bad8a5b4ee..99ae9b37b58 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -2,261 +2,199 @@
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
-# pip-compile --generate-hashes --output-file=requirements.txt requirements.in
+# pip-compile --generate-hashes --no-strip-extras --output-file=docs/requirements.txt docs/requirements.in
#
-babel==2.17.0 \
- --hash=sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d \
- --hash=sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2
- # via mkdocs-material
-backrefs==5.9 \
- --hash=sha256:6907635edebbe9b2dc3de3a2befff44d74f30a4562adbb8b36f21252ea19c5cf \
- --hash=sha256:7fdf9771f63e6028d7fee7e0c497c81abda597ea45d6b8f89e8ad76994f5befa \
- --hash=sha256:808548cb708d66b82ee231f962cb36faaf4f2baab032f2fbb783e9c2fdddaa59 \
- --hash=sha256:cc37b19fa219e93ff825ed1fed8879e47b4d89aa7a1884860e2db64ccd7c676b \
- --hash=sha256:db8e8ba0e9de81fcd635f440deab5ae5f2591b54ac1ebe0550a2ca063488cd9f \
- --hash=sha256:df5e169836cc8acb5e440ebae9aad4bf9d15e226d3bad049cf3f6a5c20cc8dc9 \
- --hash=sha256:f48ee18f6252b8f5777a22a00a09a85de0ca931658f1dd96d4406a34f3748c60
- # via mkdocs-material
-beautifulsoup4==4.13.4 \
- --hash=sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b \
- --hash=sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195
+click==8.5.0 \
+ --hash=sha256:255bc9599cf7748b4b1a446ccc735421bd08a2ae529a8b88597d3de5664ee360 \
+ --hash=sha256:ba0d2089de75ea0310e2dde03160e6ca10009947fb95a182f9b54021bb272e34
# via
- # markdownify
- # mkdocs-llmstxt
-certifi==2025.6.15 \
- --hash=sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057 \
- --hash=sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b
- # via requests
-charset-normalizer==3.4.2 \
- --hash=sha256:005fa3432484527f9732ebd315da8da8001593e2cf46a3d817669f062c3d9ed4 \
- --hash=sha256:046595208aae0120559a67693ecc65dd75d46f7bf687f159127046628178dc45 \
- --hash=sha256:0c29de6a1a95f24b9a1aa7aefd27d2487263f00dfd55a77719b530788f75cff7 \
- --hash=sha256:0c8c57f84ccfc871a48a47321cfa49ae1df56cd1d965a09abe84066f6853b9c0 \
- --hash=sha256:0f5d9ed7f254402c9e7d35d2f5972c9bbea9040e99cd2861bd77dc68263277c7 \
- --hash=sha256:18dd2e350387c87dabe711b86f83c9c78af772c748904d372ade190b5c7c9d4d \
- --hash=sha256:1b1bde144d98e446b056ef98e59c256e9294f6b74d7af6846bf5ffdafd687a7d \
- --hash=sha256:1c95a1e2902a8b722868587c0e1184ad5c55631de5afc0eb96bc4b0d738092c0 \
- --hash=sha256:1cad5f45b3146325bb38d6855642f6fd609c3f7cad4dbaf75549bf3b904d3184 \
- --hash=sha256:21b2899062867b0e1fde9b724f8aecb1af14f2778d69aacd1a5a1853a597a5db \
- --hash=sha256:24498ba8ed6c2e0b56d4acbf83f2d989720a93b41d712ebd4f4979660db4417b \
- --hash=sha256:25a23ea5c7edc53e0f29bae2c44fcb5a1aa10591aae107f2a2b2583a9c5cbc64 \
- --hash=sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b \
- --hash=sha256:28a1005facc94196e1fb3e82a3d442a9d9110b8434fc1ded7a24a2983c9888d8 \
- --hash=sha256:32fc0341d72e0f73f80acb0a2c94216bd704f4f0bce10aedea38f30502b271ff \
- --hash=sha256:36b31da18b8890a76ec181c3cf44326bf2c48e36d393ca1b72b3f484113ea344 \
- --hash=sha256:3c21d4fca343c805a52c0c78edc01e3477f6dd1ad7c47653241cf2a206d4fc58 \
- --hash=sha256:3fddb7e2c84ac87ac3a947cb4e66d143ca5863ef48e4a5ecb83bd48619e4634e \
- --hash=sha256:43e0933a0eff183ee85833f341ec567c0980dae57c464d8a508e1b2ceb336471 \
- --hash=sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148 \
- --hash=sha256:4e594135de17ab3866138f496755f302b72157d115086d100c3f19370839dd3a \
- --hash=sha256:50bf98d5e563b83cc29471fa114366e6806bc06bc7a25fd59641e41445327836 \
- --hash=sha256:5a9979887252a82fefd3d3ed2a8e3b937a7a809f65dcb1e068b090e165bbe99e \
- --hash=sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63 \
- --hash=sha256:5bf4545e3b962767e5c06fe1738f951f77d27967cb2caa64c28be7c4563e162c \
- --hash=sha256:6333b3aa5a12c26b2a4d4e7335a28f1475e0e5e17d69d55141ee3cab736f66d1 \
- --hash=sha256:65c981bdbd3f57670af8b59777cbfae75364b483fa8a9f420f08094531d54a01 \
- --hash=sha256:68a328e5f55ec37c57f19ebb1fdc56a248db2e3e9ad769919a58672958e8f366 \
- --hash=sha256:6a0289e4589e8bdfef02a80478f1dfcb14f0ab696b5a00e1f4b8a14a307a3c58 \
- --hash=sha256:6b66f92b17849b85cad91259efc341dce9c1af48e2173bf38a85c6329f1033e5 \
- --hash=sha256:6c9379d65defcab82d07b2a9dfbfc2e95bc8fe0ebb1b176a3190230a3ef0e07c \
- --hash=sha256:6fc1f5b51fa4cecaa18f2bd7a003f3dd039dd615cd69a2afd6d3b19aed6775f2 \
- --hash=sha256:70f7172939fdf8790425ba31915bfbe8335030f05b9913d7ae00a87d4395620a \
- --hash=sha256:721c76e84fe669be19c5791da68232ca2e05ba5185575086e384352e2c309597 \
- --hash=sha256:7222ffd5e4de8e57e03ce2cef95a4c43c98fcb72ad86909abdfc2c17d227fc1b \
- --hash=sha256:75d10d37a47afee94919c4fab4c22b9bc2a8bf7d4f46f87363bcf0573f3ff4f5 \
- --hash=sha256:76af085e67e56c8816c3ccf256ebd136def2ed9654525348cfa744b6802b69eb \
- --hash=sha256:770cab594ecf99ae64c236bc9ee3439c3f46be49796e265ce0cc8bc17b10294f \
- --hash=sha256:7a6ab32f7210554a96cd9e33abe3ddd86732beeafc7a28e9955cdf22ffadbab0 \
- --hash=sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941 \
- --hash=sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0 \
- --hash=sha256:8075c35cd58273fee266c58c0c9b670947c19df5fb98e7b66710e04ad4e9ff86 \
- --hash=sha256:8272b73e1c5603666618805fe821edba66892e2870058c94c53147602eab29c7 \
- --hash=sha256:82d8fd25b7f4675d0c47cf95b594d4e7b158aca33b76aa63d07186e13c0e0ab7 \
- --hash=sha256:844da2b5728b5ce0e32d863af26f32b5ce61bc4273a9c720a9f3aa9df73b1455 \
- --hash=sha256:8755483f3c00d6c9a77f490c17e6ab0c8729e39e6390328e42521ef175380ae6 \
- --hash=sha256:915f3849a011c1f593ab99092f3cecfcb4d65d8feb4a64cf1bf2d22074dc0ec4 \
- --hash=sha256:926ca93accd5d36ccdabd803392ddc3e03e6d4cd1cf17deff3b989ab8e9dbcf0 \
- --hash=sha256:982bb1e8b4ffda883b3d0a521e23abcd6fd17418f6d2c4118d257a10199c0ce3 \
- --hash=sha256:98f862da73774290f251b9df8d11161b6cf25b599a66baf087c1ffe340e9bfd1 \
- --hash=sha256:9cbfacf36cb0ec2897ce0ebc5d08ca44213af24265bd56eca54bee7923c48fd6 \
- --hash=sha256:a370b3e078e418187da8c3674eddb9d983ec09445c99a3a263c2011993522981 \
- --hash=sha256:a955b438e62efdf7e0b7b52a64dc5c3396e2634baa62471768a64bc2adb73d5c \
- --hash=sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980 \
- --hash=sha256:aa88ca0b1932e93f2d961bf3addbb2db902198dca337d88c89e1559e066e7645 \
- --hash=sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7 \
- --hash=sha256:aaf27faa992bfee0264dc1f03f4c75e9fcdda66a519db6b957a3f826e285cf12 \
- --hash=sha256:b2680962a4848b3c4f155dc2ee64505a9c57186d0d56b43123b17ca3de18f0fa \
- --hash=sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd \
- --hash=sha256:b33de11b92e9f75a2b545d6e9b6f37e398d86c3e9e9653c4864eb7e89c5773ef \
- --hash=sha256:b3daeac64d5b371dea99714f08ffc2c208522ec6b06fbc7866a450dd446f5c0f \
- --hash=sha256:be1e352acbe3c78727a16a455126d9ff83ea2dfdcbc83148d2982305a04714c2 \
- --hash=sha256:bee093bf902e1d8fc0ac143c88902c3dfc8941f7ea1d6a8dd2bcb786d33db03d \
- --hash=sha256:c72fbbe68c6f32f251bdc08b8611c7b3060612236e960ef848e0a517ddbe76c5 \
- --hash=sha256:c9e36a97bee9b86ef9a1cf7bb96747eb7a15c2f22bdb5b516434b00f2a599f02 \
- --hash=sha256:cddf7bd982eaa998934a91f69d182aec997c6c468898efe6679af88283b498d3 \
- --hash=sha256:cf713fe9a71ef6fd5adf7a79670135081cd4431c2943864757f0fa3a65b1fafd \
- --hash=sha256:d11b54acf878eef558599658b0ffca78138c8c3655cf4f3a4a673c437e67732e \
- --hash=sha256:d41c4d287cfc69060fa91cae9683eacffad989f1a10811995fa309df656ec214 \
- --hash=sha256:d524ba3f1581b35c03cb42beebab4a13e6cdad7b36246bd22541fa585a56cccd \
- --hash=sha256:daac4765328a919a805fa5e2720f3e94767abd632ae410a9062dff5412bae65a \
- --hash=sha256:db4c7bf0e07fc3b7d89ac2a5880a6a8062056801b83ff56d8464b70f65482b6c \
- --hash=sha256:dc7039885fa1baf9be153a0626e337aa7ec8bf96b0128605fb0d77788ddc1681 \
- --hash=sha256:dccab8d5fa1ef9bfba0590ecf4d46df048d18ffe3eec01eeb73a42e0d9e7a8ba \
- --hash=sha256:dedb8adb91d11846ee08bec4c8236c8549ac721c245678282dcb06b221aab59f \
- --hash=sha256:e45ba65510e2647721e35323d6ef54c7974959f6081b58d4ef5d87c60c84919a \
- --hash=sha256:e53efc7c7cee4c1e70661e2e112ca46a575f90ed9ae3fef200f2a25e954f4b28 \
- --hash=sha256:e635b87f01ebc977342e2697d05b56632f5f879a4f15955dfe8cef2448b51691 \
- --hash=sha256:e70e990b2137b29dc5564715de1e12701815dacc1d056308e2b17e9095372a82 \
- --hash=sha256:e8082b26888e2f8b36a042a58307d5b917ef2b1cacab921ad3323ef91901c71a \
- --hash=sha256:e8323a9b031aa0393768b87f04b4164a40037fb2a3c11ac06a03ffecd3618027 \
- --hash=sha256:e92fca20c46e9f5e1bb485887d074918b13543b1c2a1185e69bb8d17ab6236a7 \
- --hash=sha256:eb30abc20df9ab0814b5a2524f23d75dcf83cde762c161917a2b4b7b55b1e518 \
- --hash=sha256:eba9904b0f38a143592d9fc0e19e2df0fa2e41c3c3745554761c5f6447eedabf \
- --hash=sha256:ef8de666d6179b009dce7bcb2ad4c4a779f113f12caf8dc77f0162c29d20490b \
- --hash=sha256:efd387a49825780ff861998cd959767800d54f8308936b21025326de4b5a42b9 \
- --hash=sha256:f0aa37f3c979cf2546b73e8222bbfa3dc07a641585340179d768068e3455e544 \
- --hash=sha256:f4074c5a429281bf056ddd4c5d3b740ebca4d43ffffe2ef4bf4d2d05114299da \
- --hash=sha256:f69a27e45c43520f5487f27627059b64aaf160415589230992cec34c5e18a509 \
- --hash=sha256:fb707f3e15060adf5b7ada797624a6c6e0138e2a26baa089df64c68ee98e040f \
- --hash=sha256:fcbe676a55d7445b22c10967bceaaf0ee69407fbe0ece4d032b6eb8d4565982a \
- --hash=sha256:fdb20a30fe1175ecabed17cbf7812f7b804b8a315a25f24678bcdf120a90077f
- # via requests
-click==8.1.8 \
- --hash=sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2 \
- --hash=sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a
- # via mkdocs
-colorama==0.4.6 \
- --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
- --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
- # via
- # griffe
- # mkdocs-material
+ # mkdocs
+ # zensical
+deepmerge==3.0.1 \
+ --hash=sha256:35b39a4cb92cf328d6eca61cbbf65f68a37c2ceb3085f0f853cbb2e52a59fc23 \
+ --hash=sha256:35c96f6a68fcf90719a5b31d9f8042ecef6c00fb56836660d33455d0f5cfda65
+ # via zensical
ghp-import==2.1.0 \
--hash=sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619 \
--hash=sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343
# via mkdocs
-gitdb==4.0.12 \
- --hash=sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571 \
- --hash=sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf
- # via gitpython
-gitpython==3.1.62 \
- --hash=sha256:1791de66309bc0c7cfca40bf8d2e3de7ca091cbf94e6051be1ad0722c61062af \
- --hash=sha256:7002251225e10e29d2e1f49e6532613fe5d5d9f0b6f1f02997a52b38fe56899e
- # via mkdocs-git-revision-date-plugin
-griffe==1.13.0 \
- --hash=sha256:246ea436a5e78f7fbf5f24ca8a727bb4d2a4b442a2959052eea3d0bfe9a076e0 \
- --hash=sha256:470fde5b735625ac0a36296cd194617f039e9e83e301fcbd493e2b58382d0559
+griffelib==2.3.2 \
+ --hash=sha256:8e710afededd5607f95bf3c8ccc175ee306e7084459faf27b9f9f44ef2a7a274 \
+ --hash=sha256:df00c7a0dee3d86268d76788997a1859272cb1fb7b865658e043d2c0c3d52e60
# via mkdocstrings-python
-idna==3.15 \
- --hash=sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8 \
- --hash=sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc
- # via requests
jinja2==3.1.6 \
--hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \
--hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67
# via
# mkdocs
- # mkdocs-git-revision-date-plugin
- # mkdocs-material
# mkdocstrings
-markdown==3.8.2 \
- --hash=sha256:247b9a70dd12e27f67431ce62523e675b866d254f900c4fe75ce3dda62237c45 \
- --hash=sha256:5c83764dbd4e00bdd94d85a19b8d55ccca20fe35b2e678a1422b380324dd5f24
+ # zensical
+markdown==3.11.1 \
+ --hash=sha256:496f4f80f9ebd3395a04c8ec9595c40bbe8ec19e9c67d21fe071a1643e876606 \
+ --hash=sha256:f1fa378ba5d682900c9ecb55ccceacca936016dda7c3b27097e8ae03ff78feb5
# via
# mkdocs
# mkdocs-autorefs
- # mkdocs-material
# mkdocstrings
# pymdown-extensions
-markdown-it-py==3.0.0 \
- --hash=sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1 \
- --hash=sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb
- # via mdformat
-markdownify==1.1.0 \
- --hash=sha256:32a5a08e9af02c8a6528942224c91b933b4bd2c7d078f9012943776fc313eeef \
- --hash=sha256:449c0bbbf1401c5112379619524f33b63490a8fa479456d41de9dc9e37560ebd
- # via mkdocs-llmstxt
-markupsafe==3.0.2 \
- --hash=sha256:0bff5e0ae4ef2e1ae4fdf2dfd5b76c75e5c2fa4132d05fc1b0dabcd20c7e28c4 \
- --hash=sha256:0f4ca02bea9a23221c0182836703cbf8930c5e9454bacce27e767509fa286a30 \
- --hash=sha256:1225beacc926f536dc82e45f8a4d68502949dc67eea90eab715dea3a21c1b5f0 \
- --hash=sha256:131a3c7689c85f5ad20f9f6fb1b866f402c445b220c19fe4308c0b147ccd2ad9 \
- --hash=sha256:15ab75ef81add55874e7ab7055e9c397312385bd9ced94920f2802310c930396 \
- --hash=sha256:1a9d3f5f0901fdec14d8d2f66ef7d035f2157240a433441719ac9a3fba440b13 \
- --hash=sha256:1c99d261bd2d5f6b59325c92c73df481e05e57f19837bdca8413b9eac4bd8028 \
- --hash=sha256:1e084f686b92e5b83186b07e8a17fc09e38fff551f3602b249881fec658d3eca \
- --hash=sha256:2181e67807fc2fa785d0592dc2d6206c019b9502410671cc905d132a92866557 \
- --hash=sha256:2cb8438c3cbb25e220c2ab33bb226559e7afb3baec11c4f218ffa7308603c832 \
- --hash=sha256:3169b1eefae027567d1ce6ee7cae382c57fe26e82775f460f0b2778beaad66c0 \
- --hash=sha256:3809ede931876f5b2ec92eef964286840ed3540dadf803dd570c3b7e13141a3b \
- --hash=sha256:38a9ef736c01fccdd6600705b09dc574584b89bea478200c5fbf112a6b0d5579 \
- --hash=sha256:3d79d162e7be8f996986c064d1c7c817f6df3a77fe3d6859f6f9e7be4b8c213a \
- --hash=sha256:444dcda765c8a838eaae23112db52f1efaf750daddb2d9ca300bcae1039adc5c \
- --hash=sha256:48032821bbdf20f5799ff537c7ac3d1fba0ba032cfc06194faffa8cda8b560ff \
- --hash=sha256:4aa4e5faecf353ed117801a068ebab7b7e09ffb6e1d5e412dc852e0da018126c \
- --hash=sha256:52305740fe773d09cffb16f8ed0427942901f00adedac82ec8b67752f58a1b22 \
- --hash=sha256:569511d3b58c8791ab4c2e1285575265991e6d8f8700c7be0e88f86cb0672094 \
- --hash=sha256:57cb5a3cf367aeb1d316576250f65edec5bb3be939e9247ae594b4bcbc317dfb \
- --hash=sha256:5b02fb34468b6aaa40dfc198d813a641e3a63b98c2b05a16b9f80b7ec314185e \
- --hash=sha256:6381026f158fdb7c72a168278597a5e3a5222e83ea18f543112b2662a9b699c5 \
- --hash=sha256:6af100e168aa82a50e186c82875a5893c5597a0c1ccdb0d8b40240b1f28b969a \
- --hash=sha256:6c89876f41da747c8d3677a2b540fb32ef5715f97b66eeb0c6b66f5e3ef6f59d \
- --hash=sha256:6e296a513ca3d94054c2c881cc913116e90fd030ad1c656b3869762b754f5f8a \
- --hash=sha256:70a87b411535ccad5ef2f1df5136506a10775d267e197e4cf531ced10537bd6b \
- --hash=sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8 \
- --hash=sha256:846ade7b71e3536c4e56b386c2a47adf5741d2d8b94ec9dc3e92e5e1ee1e2225 \
- --hash=sha256:88416bd1e65dcea10bc7569faacb2c20ce071dd1f87539ca2ab364bf6231393c \
- --hash=sha256:88b49a3b9ff31e19998750c38e030fc7bb937398b1f78cfa599aaef92d693144 \
- --hash=sha256:8c4e8c3ce11e1f92f6536ff07154f9d49677ebaaafc32db9db4620bc11ed480f \
- --hash=sha256:8e06879fc22a25ca47312fbe7c8264eb0b662f6db27cb2d3bbbc74b1df4b9b87 \
- --hash=sha256:9025b4018f3a1314059769c7bf15441064b2207cb3f065e6ea1e7359cb46db9d \
- --hash=sha256:93335ca3812df2f366e80509ae119189886b0f3c2b81325d39efdb84a1e2ae93 \
- --hash=sha256:9778bd8ab0a994ebf6f84c2b949e65736d5575320a17ae8984a77fab08db94cf \
- --hash=sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158 \
- --hash=sha256:a123e330ef0853c6e822384873bef7507557d8e4a082961e1defa947aa59ba84 \
- --hash=sha256:a904af0a6162c73e3edcb969eeeb53a63ceeb5d8cf642fade7d39e7963a22ddb \
- --hash=sha256:ad10d3ded218f1039f11a75f8091880239651b52e9bb592ca27de44eed242a48 \
- --hash=sha256:b424c77b206d63d500bcb69fa55ed8d0e6a3774056bdc4839fc9298a7edca171 \
- --hash=sha256:b5a6b3ada725cea8a5e634536b1b01c30bcdcd7f9c6fff4151548d5bf6b3a36c \
- --hash=sha256:ba8062ed2cf21c07a9e295d5b8a2a5ce678b913b45fdf68c32d95d6c1291e0b6 \
- --hash=sha256:ba9527cdd4c926ed0760bc301f6728ef34d841f405abf9d4f959c478421e4efd \
- --hash=sha256:bbcb445fa71794da8f178f0f6d66789a28d7319071af7a496d4d507ed566270d \
- --hash=sha256:bcf3e58998965654fdaff38e58584d8937aa3096ab5354d493c77d1fdd66d7a1 \
- --hash=sha256:c0ef13eaeee5b615fb07c9a7dadb38eac06a0608b41570d8ade51c56539e509d \
- --hash=sha256:cabc348d87e913db6ab4aa100f01b08f481097838bdddf7c7a84b7575b7309ca \
- --hash=sha256:cdb82a876c47801bb54a690c5ae105a46b392ac6099881cdfb9f6e95e4014c6a \
- --hash=sha256:cfad01eed2c2e0c01fd0ecd2ef42c492f7f93902e39a42fc9ee1692961443a29 \
- --hash=sha256:d16a81a06776313e817c951135cf7340a3e91e8c1ff2fac444cfd75fffa04afe \
- --hash=sha256:d8213e09c917a951de9d09ecee036d5c7d36cb6cb7dbaece4c71a60d79fb9798 \
- --hash=sha256:e07c3764494e3776c602c1e78e298937c3315ccc9043ead7e685b7f2b8d47b3c \
- --hash=sha256:e17c96c14e19278594aa4841ec148115f9c7615a47382ecb6b82bd8fea3ab0c8 \
- --hash=sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f \
- --hash=sha256:e6a2a455bd412959b57a172ce6328d2dd1f01cb2135efda2e4576e8a23fa3b0f \
- --hash=sha256:eaa0a10b7f72326f1372a713e73c3f739b524b3af41feb43e4921cb529f5929a \
- --hash=sha256:eb7972a85c54febfb25b5c4b4f3af4dcc731994c7da0d8a0b4a6eb0640e1d178 \
- --hash=sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0 \
- --hash=sha256:f3818cb119498c0678015754eba762e0d61e5b52d34c8b13d770f0719f7b1d79 \
- --hash=sha256:f8b3d067f2e40fe93e1ccdd6b2e1d16c43140e76f02fb1319a05cf2b79d99430 \
- --hash=sha256:fcabf5ff6eea076f859677f5f0b6b5c1a51e70a376b0579e0eadef8db48c6b50
+ # zensical
+markupsafe==3.0.4 \
+ --hash=sha256:007e1ffd9bf65bb6ee96df7b258fc632a4868dd5566037986c64781f35a36e98 \
+ --hash=sha256:02fa4acbc6a3fc5c693c34d4dd8c1130b7fe99cc915181b0ddd6f72aeb296002 \
+ --hash=sha256:03470d1a8268e692ecf79ecd565593e59d44219377a7ead61f1f1b94c1f7ff6b \
+ --hash=sha256:04e7902ba80ee4bac1d50a549606527a1dcf0476cd81403db41099d3b60ec653 \
+ --hash=sha256:051417f74bcaaefa316276e0ff723f541616ca51043d070da00249d9bddd3e3c \
+ --hash=sha256:05295589e619b9bed252a86b532b8e27350abc372d18ba89b59375325e91ec1e \
+ --hash=sha256:06de8ef6331f6e822c28d577dc8bf43fe398800477c49498f38fc38b67ff33fc \
+ --hash=sha256:0764a13d34cae40db7bbf3a09b7e9b491bf4603e20b263a7a9d6b8e324975d0a \
+ --hash=sha256:077293e425f28ec737dbcad442a71752e28f8ae27cde3d68acd1fb212091cd92 \
+ --hash=sha256:0930db9bdc62d22944e10b066448bb65dc9abe9112880c7cab8da54db4284d5f \
+ --hash=sha256:0cee7cb0f9a1b6892ea482237d9403b3d1b4603aee057d0ff01f0fac2d019a97 \
+ --hash=sha256:0d9c47709875fdb321452056622e930c52afbc07a7d780762fbb8b4d91ce6fa4 \
+ --hash=sha256:11935df9bf455ed0c04eb87bcd720f02b1fe5e02128a9430f23aed6f93336fc7 \
+ --hash=sha256:12a606a492de952afcb43b59a14aaaaad120e708d3663dd0fdf2d738d427a691 \
+ --hash=sha256:14bd2d845d62ab678eaf81da89d7b621b51756c72346745c1a594c09d49207a2 \
+ --hash=sha256:15ba9e28640feef770374b116a6f019c21f52404aeabe516aa7f800587b98cfc \
+ --hash=sha256:18a801868a884f216e784d7d14db2a4077143ce7610440aee2ce8f734e7cfcde \
+ --hash=sha256:1c0df495a977d10460a94941799c72d5b5ab03d3858d949b55b5a66c8f371c99 \
+ --hash=sha256:1caa2fa5a6184fb233153b35f654e6687bd555476f6170f29d8ee9be1a8b0af9 \
+ --hash=sha256:1e1451fab512d1bcc3dc26988ec1edb0b82c2db909132872cd9356070a6b63df \
+ --hash=sha256:1f1f9477e174582b0a1b583d60b66e1f2cf5d3fe12cee985e4aedf44766600e5 \
+ --hash=sha256:2628d3a8cb648ecebb3c5d6b0a1052d400e4d8b7ac0fb786be8d285b50040d17 \
+ --hash=sha256:26e9867520db70d37f7fb421a7f0d8adb40171011fb84ce869afa1a83370dfa8 \
+ --hash=sha256:2a6ef68ae94aed8721934072b27a3b654ea2100b97e4ab864cf1489c90926fbc \
+ --hash=sha256:2b2b1e18af909b448bb3cf9e3433366f7a8726271fc214e8b10e0f62a78c724b \
+ --hash=sha256:2cb3dd71fc6be918ad4264346a8ed69485f9b7ed7bf35495d8e22807cd6b8bea \
+ --hash=sha256:2d1b7d9308288661f56672b1b157d75fc536714d3638487bbea17b6318a78248 \
+ --hash=sha256:2dad610540cb2e6272855c178f08ae9a1c7ac258a7fb71660553a5f104b42741 \
+ --hash=sha256:2e5a7cd7fdd14fcb1ae5d7d8bf23d24fbd1daefd1fbca2580132e1ea75f098b5 \
+ --hash=sha256:2e9ad7dd851bf45fab9f75cbff4cb493fee9979e8d8c7c9c3ee119022518edd6 \
+ --hash=sha256:340cbb1957ba99929cbf19a75626d36ba1ae21d1730b287d1cf7f824a20c4fc7 \
+ --hash=sha256:34bdde374c5932765d7dc685c4a1d191a3207852d67e8e0a9eb6ea85156181f1 \
+ --hash=sha256:353bd63081912ab8cfa6a0c7d185934cdf8426f04c618bba6bc4b394f2069b67 \
+ --hash=sha256:387d8cd30e69b3f0a72877b9ae717033396404e19095b17fe89753a981fda44f \
+ --hash=sha256:3882fb412298575bae3b9c46868251f15cc69307359f87bb1b382e53d6e5a2c9 \
+ --hash=sha256:38fc55594dab834470b6733dead2ee9e3f657fb0608c769dcafa0ba5ab52f45c \
+ --hash=sha256:396ec4e65cc889f69786b3b89478b471cee5a3bcf468b9d9bb03e1a30fb291fc \
+ --hash=sha256:39dbacefc411633db5b4378b066a9aca70a3d7e2922c9e578d825f844026eeba \
+ --hash=sha256:3a93d9616ddecfb393727a0041a562cf0b15a244e20f2bd25efc7949be4c4f17 \
+ --hash=sha256:3d23795802fc8bd72534836d64489bbf0f67c088959091bdb22e10735a5107bf \
+ --hash=sha256:434139499bb20b502ed3baa1f169e618f924a97e7a777fea1a49446d80106cf6 \
+ --hash=sha256:436e3ffc6310d3c41878c601db29098102fe5d8a467c49da4a4125254e0980f2 \
+ --hash=sha256:489505b03f692c3f376394e49194fa7a7f9e8558d6e293a7056a0032b0c38163 \
+ --hash=sha256:4a540e2d3192792fc84eced57bef37851ccb2b41f73291bb17408eea77bcd278 \
+ --hash=sha256:4a7cdc2a420ca01058182da4253329764d4bfa055564d1eced90e6ba1e8b1d3d \
+ --hash=sha256:4bced6e2a6dba6a28f7dd3c6ce14df1b2dd495923f16ea484cad03decd463b2b \
+ --hash=sha256:4cf3468d5ec187ffffcaca8e61929a37448f215dafc1386a12c750a72fe53634 \
+ --hash=sha256:4e2c4809c14559aa7ef426f27fb35afbb38104c349a903bf8f3600456764bb38 \
+ --hash=sha256:4ed644d75aa94a2baf7ec3a96eaa160ea58c742eb9d27c6506053c5c40fc84ed \
+ --hash=sha256:4f6e0852a0283b1b1fd776eeb7b766a5f440b3e2bd31ab51af3b400585f3965c \
+ --hash=sha256:5066b244f576f91afc8ee3ba029a89f99d39c79b1853fe9d39bea9f0afbec148 \
+ --hash=sha256:5086f9975abb1ab531ee6afca1761e4b59a19b446f3f6522ed776963228cfe5a \
+ --hash=sha256:50b5bedc9ed8a94fc8857a42ef4f84a81ea88f8d4f05dc8705fb23ee6d8dcca7 \
+ --hash=sha256:52704c5d36eb6dda8866493decd61111fff86244c9b1ad225ca01b9e91e5970f \
+ --hash=sha256:55ffd6ce583d97dc71dc92e930324c8c0d25aea7e3ade6ae54ef77cedb096811 \
+ --hash=sha256:569d65055d367e3dcdf30c3f41119467b73d9ee9faf332bdf40402644f5ac08e \
+ --hash=sha256:57f9947a7e57a081c1e3e0a2dd0d2dcf290a4531450e6f611e30084c222a7295 \
+ --hash=sha256:5989cb26b2e1efc6a42216a9f6b5ee495ce5ace2e5b352a9af489976b32d1ee2 \
+ --hash=sha256:5c22873ad1f0532ba40fa1727f3c0fc1bbbaab6d373d4cbe3f0dc74b2e2521c7 \
+ --hash=sha256:5e8b3d0b18fd623afa12ecb2ce8d8becef69f9b5440c6330c7972200e0bb84b0 \
+ --hash=sha256:61631e08084be9e21a8967ec3139c7616ed7c5e9368e05c86d1b39562c8a57b6 \
+ --hash=sha256:64511c54db4e4987aef4c41923235927428729e8174c5dba488429be70a998ed \
+ --hash=sha256:6669c1bf34080161ce49c589cc512ef24d4c704ac9d2b2d3667f519c60418378 \
+ --hash=sha256:672d207103e6b16ca098611b0f9efad6bc00afd47c03d6ef62186495ca677dc0 \
+ --hash=sha256:6768d67d1bce64270e0fdc2e69309d68b9b18ae56ddf6c711d168e9d051c2cac \
+ --hash=sha256:6a45c3d514f2436064db00d7fc8778d888f0236ebfed649b53d13a59e69ad51b \
+ --hash=sha256:6bd9e1788e15bfcf6a9082de42e30387e7b85d211ab21e57a939bb8cfaaf8d96 \
+ --hash=sha256:6d2a9efe686f9de00d0d1ea32a4a5a86d558a2277501bd78d964214eab625e59 \
+ --hash=sha256:6da83a088f8ef93b2d483a8232a4dbf4d69d3d8496b568a03c56becac43e1808 \
+ --hash=sha256:7018d4af1cd272e847aa5917983ab5e83e4f6579f9dbfecd4a79c0ca80b144c2 \
+ --hash=sha256:71f88e749ea29f67f21f3b36433c1dc54c7729ed2a6d9e2da2e0d9e0d7b224eb \
+ --hash=sha256:737c9c3981998eba27f11786f84fddcbabc74068b72a4a1f454ea02094b57b65 \
+ --hash=sha256:73e77980c7207854f00fc4e71fb1626868d5740ab4012623d55c7a99ad122a72 \
+ --hash=sha256:799c39bdf5e2f1292fedd3009f7b3c9e760f10b2420cb9638d56920840ff6db8 \
+ --hash=sha256:7a83aa6e4805df46fed18e989d3d16f86ef60cb50bbc8d9ce3a6be89165fbf6e \
+ --hash=sha256:7d3391b2188d18737cb2fa147028b1096236eaa7e156446c650a489fa2cadc91 \
+ --hash=sha256:7e1636da3d8dfc220b6dd10264db5f2b165e4888c4518594898fbe381049af8a \
+ --hash=sha256:805c8b84534fa10891890f0e4be39f3a99e94615d93e8836bf9fa1fdca2feeb2 \
+ --hash=sha256:811d02d5122171c1941357efd8f9bf4ffe907b7f0a1a4e729a880e4be3f46e3e \
+ --hash=sha256:8138eb83940ec7299024d92d4dee45f601b9e6c5ffde9d25f4e35e326203c707 \
+ --hash=sha256:83b3944fea42a8400edf92fd1770fb8d0d4f7de651353bd2d8525a92dba69a21 \
+ --hash=sha256:849dd2bb0e5e4ab2b71c7191726a4a8d5aa8a610daa584728cbee0b710ddc4ef \
+ --hash=sha256:8698d70a8081ee8c090dbb394768b5789a1da8b131b5499f89d071dd3cfaf6be \
+ --hash=sha256:8781a792a070cf2bd1b86d3aa943894115faaba6e88122a7bf32d62072742453 \
+ --hash=sha256:88d59b473bfb03259722600839af9bbd7fa13a2eb514beefeedb95997882f69a \
+ --hash=sha256:8909c2f1c6dd65e054ac4b573a91c8384d1492281e55d82d159d653f7a13adf6 \
+ --hash=sha256:8965520ac587c94a4ac48b729be3d8b8de00af39699b17585dfb599babe77977 \
+ --hash=sha256:8b5d563170ff8ba3181caa967c99a3c804d1dedb702c7cb93a6a7c32247da978 \
+ --hash=sha256:8e124f974786f831d6043728e38296969d3579db8896fe004682f5758e613581 \
+ --hash=sha256:8f0fac8b13d14bb06c68195f849371924ae53dd7b1c00fed24650f704383b692 \
+ --hash=sha256:9240187afb63d2f9ddc3e032c670356fe941f6e20662ea168a5dc3f1f317e1b3 \
+ --hash=sha256:925f929d6b59a8b3f8b8c6ac363cd0af7eecc81efb3071770b3c6717c450a369 \
+ --hash=sha256:9348cbb300d224fe3b89793262cb093504d4ae927004468463f745188a193e4a \
+ --hash=sha256:9388003072b95f2f1e3fd908604194d653ba21330d811961a78b7da1a77e9e36 \
+ --hash=sha256:9438a2648b2195980cb2dd8e53ed7b8df91319e2d0b70ae61a9e1d1bc8d3bec9 \
+ --hash=sha256:94e4c421742086aeee4c32a506eec8859d7634aad943f7e6aacf70f813478768 \
+ --hash=sha256:94f5407f7bc64fa6463906b896f9904beeeb7dd8dc116ee8e9056c8714ff9916 \
+ --hash=sha256:971a3bbb75d97ae4e2e8f7d4834236f86f85f0c85e04ab2e191db1123b04f80b \
+ --hash=sha256:9e227f3dbe6bde7491cf0a9965d00b88c6b1a4a95d11480ddf88bb96d397c19f \
+ --hash=sha256:9e25feb9e330b63edb0278a0acdf85e50d0cb0fbf49c3084abbe4e24ae195346 \
+ --hash=sha256:9f098115c247e11d138ab83a28fa0323c77015007ea2df73ba5fd714dfefd67c \
+ --hash=sha256:a18f38cafc329bac5e3c2b96c765b4c96d3d103421ed22ab7988c1e3fce27464 \
+ --hash=sha256:a4bbd2d87dd233b9fc5812160c3d0ffbe42edc22a26ce0469f58479ede633fe9 \
+ --hash=sha256:a5fcffb37e602b0b3c1638a97746b9b96125caa9bcf6fa41d337a9261de231ee \
+ --hash=sha256:a8e9f292fcda89b324f2f5c91d13f1424a153e40fc2756f38ee23b15835ff300 \
+ --hash=sha256:a9f54054101545a9a9cccefddf54316aa6e4491611fcbef9e91b3b6bebec04f6 \
+ --hash=sha256:aa2c838cc024642cc04c6854232f32b43e5e22833dd11119c1766c7873b8370d \
+ --hash=sha256:ac0c7c9f1609b0c4c114feb1d7a3409564c7fb77e360bed9e97e5d25dfeaf868 \
+ --hash=sha256:add96447a86d205ab616665d53b2950ee81083757f56e6ea833c8b2917646b46 \
+ --hash=sha256:ae9dcb8fbe244cb82f8a6458b455b927a03685e383d9bacf1ea5ce180b96dc97 \
+ --hash=sha256:b4a635a0487774f841cb1fb62e907e7195cc95bc761e053184b8acc3ceb20733 \
+ --hash=sha256:b4d12837e0203bbace818ff4a7461afdcd78bcd782351cea148139180d7bcffe \
+ --hash=sha256:b61687d0828e72bf5cda24a2690188f37170bd31c9359ac97e4e66569f120a16 \
+ --hash=sha256:b807e598953730f82e4eae3bd30f6a122cf6b31c398c6b504c0e04c13c170429 \
+ --hash=sha256:b8cd1f918b26fd7b1832ece557cc18f2d8747309ff8b3f0ef9d4250c5ad67a39 \
+ --hash=sha256:b91cc9d336957239ff200f30097e6fea2dc6d6fb3c81e853eaa09eac904fd894 \
+ --hash=sha256:bd3ce56ae2cbae3ba82b683bc425cd7e48d2ed8b10f3e818186b6f5646d9271c \
+ --hash=sha256:be6cb0c799abb0e2ba3e618e6d28ddddf7e485f6c2ce938dfa237daf3905072c \
+ --hash=sha256:befb4158af32106b9a93db8d6d1d1cbbd418c0d5aca0cabb7b1780abf0c89169 \
+ --hash=sha256:bf053da3c97a4bc5ecfbb218cdd2983febd91c617be8367d139882aa11e490aa \
+ --hash=sha256:c02e8f18bdedba082cef725942ac823b9b60656db07f7e265cb31618dfd00d77 \
+ --hash=sha256:c1bc67752d5f21013cfe430df4062441714eab79f65a6a05e01505957e9c35fe \
+ --hash=sha256:c61750fadcd119d0825bcb7d7d675dd264dcc89cc05292aab5be68ebdbb374ad \
+ --hash=sha256:c90d5b3d4e944e065a301d741b3c1d784f6bd1f503aa68b4967e32b2ba313d85 \
+ --hash=sha256:c9a7f43c0b202b334cc9184af09bb8f21d3a209e038efaf106936fb69e6b026e \
+ --hash=sha256:cb96e6e088d6cf71c1ea977510948320234824cf226e32f6f6e044f7a9c82b34 \
+ --hash=sha256:cf63c214fe879a65e69a386f915e36104fc84254ab141240f8854602d8e0be2a \
+ --hash=sha256:d1aca03ede943eb80ab3d63bb082c84b7aab85ea83bd0fd0c200260945fb49d9 \
+ --hash=sha256:d2e56fd3b00222722abfb3f5f0759ddbae4b90811b5ad4343c64030ad1bde70c \
+ --hash=sha256:d5f93ebbeb8032d47e349328ec8662d973d9b05a70b3c35df1f91fe419b84749 \
+ --hash=sha256:d882a373d8093c2941e01291b7ced96e9cbe4781da9a7751ca7e6c70385e5214 \
+ --hash=sha256:d920abdfa61279ba1a2ef9484aab07bf03331f8c08a10120fa332353d06e6932 \
+ --hash=sha256:da2af0d7aebfc2074080d72efa6ab8317c62481ef1f896f65d9999c1c01f4494 \
+ --hash=sha256:dd8ea6ebee7aedbf7c749fa80521d9ccf1ba473e0d1e14805caafbaad281c889 \
+ --hash=sha256:de8b364c423ef0a4bad9069657d617f9a5d2b2062457a89b1fa16ee199c399c1 \
+ --hash=sha256:df1ae86ff54725a01fa1a0510b914ca53a161b7050be74f6204e24aded5971d0 \
+ --hash=sha256:dff05cb7016dff1e9fd68f4122c127b65dfc59de5306cfb7ad92f956f230bee2 \
+ --hash=sha256:e1a622f13970d81f95d0c72f9dc090dce9085fccfa4c9f2174377ee32bd15786 \
+ --hash=sha256:e49fb0d1ce92cfa0cb198cc5b1b11cdf9d0638658e2a2db2687e39db7c87fc78 \
+ --hash=sha256:e5c802729725bd07e2bc3ab7b76dc7e0bbfc53129d8f1eb1c002c24cf774717e \
+ --hash=sha256:e841068dc0be4cb6dfb5c890eb88cbdcff2f4a332393c7ec94e8e618bd32c1a8 \
+ --hash=sha256:e916035e3e9930cbdfdd10abf48861340221857f45509565898e012263f7b289 \
+ --hash=sha256:eba154571c16e032112afac0dc2dfe9e63c2ceb7aedd07bb7eecf2ce26d4dd4c \
+ --hash=sha256:f03460ff076f70ab595bb45a0205ccea1971443575b6920c52e755dec2b3fbfe \
+ --hash=sha256:f0ec3b750b59375eab5b0fb2b9254810c00a3375be6d789899f1055a1d556237 \
+ --hash=sha256:f291bcf42ae98eb5107edb162c3c998b4a89648fd8e99ed4cbd12705292788cd \
+ --hash=sha256:f61efe1d2fe0de16158a5fe1d1cf3c14bdb6aecd54d8938fd26512c525c1f624 \
+ --hash=sha256:f68edfc67aabac33708941f26f22a7b8e9f81429bc0cf249fcf7d66b23af8d19 \
+ --hash=sha256:fa95848c929b6a75f6848d3c9793e59db365ee436776e57db835cdbfa79ba977 \
+ --hash=sha256:fd9f8797427910198f95bced71ddfed61130d7e349213bfb8466c9c99e2c46a8 \
+ --hash=sha256:fdb4ca07ab75ffadab4a8b135ad59cdbb3156b99310f3d565370da74a15d6bd3
# via
# jinja2
# mkdocs
# mkdocs-autorefs
# mkdocstrings
-mdformat==0.7.22 \
- --hash=sha256:61122637c9e1d9be1329054f3fa216559f0d1f722b7919b060a8c2a4ae1850e5 \
- --hash=sha256:eef84fa8f233d3162734683c2a8a6222227a229b9206872e6139658d99acb1ea
- # via
- # mdformat-tables
- # mkdocs-llmstxt
-mdformat-tables==1.0.0 \
- --hash=sha256:94cd86126141b2adc3b04c08d1441eb1272b36c39146bab078249a41c7240a9a \
- --hash=sha256:a57db1ac17c4a125da794ef45539904bb8a9592e80557d525e1f169c96daa2c8
- # via mkdocs-llmstxt
-mdurl==0.1.2 \
- --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
- --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
- # via markdown-it-py
mergedeep==1.3.4 \
--hash=sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8 \
--hash=sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307
@@ -268,161 +206,208 @@ mkdocs==1.6.1 \
--hash=sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e
# via
# mkdocs-autorefs
- # mkdocs-git-revision-date-plugin
- # mkdocs-material
# mkdocstrings
-mkdocs-autorefs==1.4.2 \
- --hash=sha256:83d6d777b66ec3c372a1aad4ae0cf77c243ba5bcda5bf0c6b8a2c5e7a3d89f13 \
- --hash=sha256:e2ebe1abd2b67d597ed19378c0fff84d73d1dbce411fce7a7cc6f161888b6749
+mkdocs-autorefs==1.4.4 \
+ --hash=sha256:834ef5408d827071ad1bc69e0f39704fa34c7fc05bc8e1c72b227dfdc5c76089 \
+ --hash=sha256:d54a284f27a7346b9c38f1f852177940c222da508e66edc816a0fa55fc6da197
# via
# mkdocstrings
# mkdocstrings-python
-mkdocs-get-deps==0.2.0 \
- --hash=sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c \
- --hash=sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134
+mkdocs-get-deps==0.2.2 \
+ --hash=sha256:8ee8d5f316cdbbb2834bc1df6e69c08fe769a83e040060de26d3c19fad3599a1 \
+ --hash=sha256:e7878cbeac04860b8b5e0ca31d3abad3df9411a75a32cde82f8e44b6c16ff650
# via mkdocs
-mkdocs-git-revision-date-plugin==0.3.2 \
- --hash=sha256:2e67956cb01823dd2418e2833f3623dee8604cdf223bddd005fe36226a56f6ef
- # via -r requirements.in
-mkdocs-llmstxt==0.5.0 \
- --hash=sha256:753c699913d2d619a9072604b26b6dc9f5fb6d257d9b107857f80c8a0b787533 \
- --hash=sha256:b2fa9e6d68df41d7467e948a4745725b6c99434a36b36204857dbd7bb3dfe041
- # via -r requirements.in
-mkdocs-material==9.7.7 \
- --hash=sha256:8ea9bb1737a5b524a5f9dcf2e1b4ebda8274ae3008aa7845720a97083bef708f \
- --hash=sha256:c0649c065b1b0512d60aad8c10f947f8e455284475239b364b610f2deb4d0855
- # via -r requirements.in
-mkdocs-material-extensions==1.3.1 \
- --hash=sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443 \
- --hash=sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31
- # via mkdocs-material
-mkdocstrings==0.30.0 \
- --hash=sha256:5d8019b9c31ddacd780b6784ffcdd6f21c408f34c0bd1103b5351d609d5b4444 \
- --hash=sha256:ae9e4a0d8c1789697ac776f2e034e2ddd71054ae1cf2c2bb1433ccfd07c226f2
+mkdocstrings==1.0.7 \
+ --hash=sha256:0951b147f352118a45a3db85f0f3b660833d34cb5120a2751315b8d08dafd159 \
+ --hash=sha256:9563828667eeb35256f87a6b61fe857676ac628ec1abbce9aea9839a502c9cb1
# via mkdocstrings-python
-mkdocstrings-python==1.19.0 \
- --hash=sha256:395c1032af8f005234170575cc0c5d4d20980846623b623b35594281be4a3059 \
- --hash=sha256:917aac66cf121243c11db5b89f66b0ded6c53ec0de5318ff5e22424eb2f2e57c
- # via -r requirements.in
-packaging==25.0 \
- --hash=sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484 \
- --hash=sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f
+mkdocstrings-python==2.0.9 \
+ --hash=sha256:ae945637dc0618c6beedbee169f10c0234b77f322c53db3fc9fb4c29b3013038 \
+ --hash=sha256:c0233eff3f84d78110df50541918e7ec2bcff8e1614faddea34290a90321a416
+ # via -r docs/requirements.in
+packaging==26.3 \
+ --hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
+ --hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via mkdocs
-paginate==0.5.7 \
- --hash=sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945 \
- --hash=sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591
- # via mkdocs-material
-pathspec==0.12.1 \
- --hash=sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08 \
- --hash=sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712
- # via mkdocs
-platformdirs==4.3.8 \
- --hash=sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc \
- --hash=sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4
+pathspec==1.1.1 \
+ --hash=sha256:17db5ecd524104a120e173814c90367a96a98d07c45b2e10c2f3919fff91bf5a \
+ --hash=sha256:a00ce642f577bf7f473932318056212bc4f8bfdf53128c78bbd5af0b9b20b189
+ # via
+ # mkdocs
+ # zensical
+platformdirs==4.13.4 \
+ --hash=sha256:502ce08e9d36cf90579ee44e1e764838842fa658e4975ef47344fd053011d2c8 \
+ --hash=sha256:dd96496961684a7f42041923f842ec7494e09f5e87aded99117e1109cd40570e
# via mkdocs-get-deps
-pygments==2.19.2 \
- --hash=sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887 \
- --hash=sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b
- # via mkdocs-material
-pymdown-extensions==11.0.1 \
- --hash=sha256:db3943a62bab7e03af1364f0c4083e64b91fb097675a4b6cceccfbe9a77e5eb2 \
- --hash=sha256:dd2905ae6fc5b75582fafb139a1266ffc754705efa902aa50067fa7ff4f94ec0
+pygments==2.21.0 \
+ --hash=sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9 \
+ --hash=sha256:610ca751c9bc2492b38eb9a38a7fbc93edbbb2d7182edaf34e66ae493dee5c8c
+ # via zensical
+pymdown-extensions==12.3 \
+ --hash=sha256:345493a8e3497e24382902903a1c43a28e34a52f2b7571a1c9641429b820ca74 \
+ --hash=sha256:a7f2a4e0bc60c6e6babfa7922cfb3b01cd640eb00fb208f3c582e12bae00ea67
# via
- # mkdocs-material
# mkdocstrings
+ # zensical
python-dateutil==2.9.0.post0 \
--hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
--hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
# via ghp-import
-pyyaml==6.0.2 \
- --hash=sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff \
- --hash=sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48 \
- --hash=sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086 \
- --hash=sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e \
- --hash=sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133 \
- --hash=sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5 \
- --hash=sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484 \
- --hash=sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee \
- --hash=sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5 \
- --hash=sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68 \
- --hash=sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a \
- --hash=sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf \
- --hash=sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99 \
- --hash=sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8 \
- --hash=sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85 \
- --hash=sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19 \
- --hash=sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc \
- --hash=sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a \
- --hash=sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1 \
- --hash=sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317 \
- --hash=sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c \
- --hash=sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631 \
- --hash=sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d \
- --hash=sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652 \
- --hash=sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5 \
- --hash=sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e \
- --hash=sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b \
- --hash=sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8 \
- --hash=sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476 \
- --hash=sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706 \
- --hash=sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563 \
- --hash=sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237 \
- --hash=sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b \
- --hash=sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083 \
- --hash=sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180 \
- --hash=sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425 \
- --hash=sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e \
- --hash=sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f \
- --hash=sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725 \
- --hash=sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183 \
- --hash=sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab \
- --hash=sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774 \
- --hash=sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725 \
- --hash=sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e \
- --hash=sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5 \
- --hash=sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d \
- --hash=sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290 \
- --hash=sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44 \
- --hash=sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed \
- --hash=sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4 \
- --hash=sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba \
- --hash=sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12 \
- --hash=sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4
+pyyaml==6.0.3 \
+ --hash=sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c \
+ --hash=sha256:0150219816b6a1fa26fb4699fb7daa9caf09eb1999f3b70fb6e786805e80375a \
+ --hash=sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3 \
+ --hash=sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956 \
+ --hash=sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6 \
+ --hash=sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c \
+ --hash=sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65 \
+ --hash=sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a \
+ --hash=sha256:1ebe39cb5fc479422b83de611d14e2c0d3bb2a18bbcb01f229ab3cfbd8fee7a0 \
+ --hash=sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b \
+ --hash=sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1 \
+ --hash=sha256:22ba7cfcad58ef3ecddc7ed1db3409af68d023b7f940da23c6c2a1890976eda6 \
+ --hash=sha256:27c0abcb4a5dac13684a37f76e701e054692a9b2d3064b70f5e4eb54810553d7 \
+ --hash=sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e \
+ --hash=sha256:2e71d11abed7344e42a8849600193d15b6def118602c4c176f748e4583246007 \
+ --hash=sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310 \
+ --hash=sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4 \
+ --hash=sha256:3c5677e12444c15717b902a5798264fa7909e41153cdf9ef7ad571b704a63dd9 \
+ --hash=sha256:3ff07ec89bae51176c0549bc4c63aa6202991da2d9a6129d7aef7f1407d3f295 \
+ --hash=sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea \
+ --hash=sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0 \
+ --hash=sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e \
+ --hash=sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac \
+ --hash=sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9 \
+ --hash=sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7 \
+ --hash=sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35 \
+ --hash=sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb \
+ --hash=sha256:5cf4e27da7e3fbed4d6c3d8e797387aaad68102272f8f9752883bc32d61cb87b \
+ --hash=sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69 \
+ --hash=sha256:5ed875a24292240029e4483f9d4a4b8a1ae08843b9c54f43fcc11e404532a8a5 \
+ --hash=sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b \
+ --hash=sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c \
+ --hash=sha256:6344df0d5755a2c9a276d4473ae6b90647e216ab4757f8426893b5dd2ac3f369 \
+ --hash=sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd \
+ --hash=sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824 \
+ --hash=sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198 \
+ --hash=sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065 \
+ --hash=sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c \
+ --hash=sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c \
+ --hash=sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764 \
+ --hash=sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196 \
+ --hash=sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b \
+ --hash=sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00 \
+ --hash=sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac \
+ --hash=sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8 \
+ --hash=sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e \
+ --hash=sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28 \
+ --hash=sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3 \
+ --hash=sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5 \
+ --hash=sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4 \
+ --hash=sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b \
+ --hash=sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf \
+ --hash=sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5 \
+ --hash=sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702 \
+ --hash=sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8 \
+ --hash=sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788 \
+ --hash=sha256:b865addae83924361678b652338317d1bd7e79b1f4596f96b96c77a5a34b34da \
+ --hash=sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d \
+ --hash=sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc \
+ --hash=sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c \
+ --hash=sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba \
+ --hash=sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f \
+ --hash=sha256:c3355370a2c156cffb25e876646f149d5d68f5e0a3ce86a5084dd0b64a994917 \
+ --hash=sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5 \
+ --hash=sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26 \
+ --hash=sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f \
+ --hash=sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b \
+ --hash=sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be \
+ --hash=sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c \
+ --hash=sha256:efd7b85f94a6f21e4932043973a7ba2613b059c4a000551892ac9f1d11f5baf3 \
+ --hash=sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6 \
+ --hash=sha256:fa160448684b4e94d80416c0fa4aac48967a969efe22931448d853ada8baf926 \
+ --hash=sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0
# via
# mkdocs
# mkdocs-get-deps
# pymdown-extensions
# pyyaml-env-tag
+ # zensical
pyyaml-env-tag==1.1 \
--hash=sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04 \
--hash=sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff
# via mkdocs
-requests==2.33.0 \
- --hash=sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b \
- --hash=sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652
- # via mkdocs-material
six==1.17.0 \
--hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
--hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
- # via
- # markdownify
- # python-dateutil
-smmap==5.0.2 \
- --hash=sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5 \
- --hash=sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e
- # via gitdb
-soupsieve==2.9 \
- --hash=sha256:a2b2c76d67df2382d245409fd71e321a571717e58463efa32ace87dcadac2c12 \
- --hash=sha256:acee8417325c5653e1377dc31eccad59eb82cbc65942afe6174c53b3aaad63fc
- # via beautifulsoup4
-typing-extensions==4.14.0 \
- --hash=sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4 \
- --hash=sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af
- # via beautifulsoup4
-urllib3==2.8.0 \
- --hash=sha256:0cf3cae568d36aa9576b28dfb35f11328f1cb974ca7647d9475ebb86c75ac6e3 \
- --hash=sha256:63bf2ead4c879426ebf22ef2a781eeb4aa3b4ae798a0435506f8687fd5bb9b63
- # via requests
+ # via python-dateutil
+tomli==2.5.0 \
+ --hash=sha256:069435bd5480429b98c5e5afb02ab21c219b6f0064680671c6dc0d46817346ea \
+ --hash=sha256:0dc598040da8d42cf20f0be588ed7004f46db12a0ac6c32e03a59dccedaaadcd \
+ --hash=sha256:1245a6638fc4bb0a60af38a7d45413db34a13842027c77597c712c998c62fdf0 \
+ --hash=sha256:19b0dd8749f4ea2f112c5fcfb3c5248390c899d7e2e173f1d91abee1fa0ff391 \
+ --hash=sha256:1f4a40d03fb9f63424f0979855bdeaf44dd7696b8d59501822c10ed30ba532df \
+ --hash=sha256:20aa36de8f2cf87237143bc1fa1aae8d6612c09118f4da21c6a684db5dd1f6f9 \
+ --hash=sha256:21e4cae4114aba25aa0d4f85cdf486d290fb35c0954d7bba536248da64d43066 \
+ --hash=sha256:22185fad8a1e622f064e78008018a0dd3323550dcb479cb7a1d296888d74024f \
+ --hash=sha256:2419c2a189551987b59d80e63ec355671283336f41c6b9b89462df679c7d0c57 \
+ --hash=sha256:264507556cd8b8c8e7c6ee037cdf443a463f03f4c958e57195e3d369711b8ff6 \
+ --hash=sha256:32a7b79ac57a2e83670ce329ccf675798bc5a2094783a63676866b70503f2e2b \
+ --hash=sha256:3f89d10c1ff6a38d992c27fc8a4816af71a909e08a40ec66934240b1e74347c3 \
+ --hash=sha256:463b16086865b97facd8d0b3fb4cb7c544e3f58d2a69dc3113d6db9653fdb043 \
+ --hash=sha256:49096930c8d886c9bbdab62d2d0d17ce823ddeea522309a190b36245d5b49e01 \
+ --hash=sha256:521345fd1f19d45b8df87657aaa38b6f2ca3800059fadf428e7ebf479a383646 \
+ --hash=sha256:57b1c3b01fab802e2899bc3d168dca320e14165e2fd9fd584760fb4ca5826859 \
+ --hash=sha256:5d8bac3d603c97e6854424e5b2b5b741bdbde387e09f162fb0446812b4a8362b \
+ --hash=sha256:610b27d99f28ec5f191c7064a48f3ddb179a1fe6ca73d571483ae859f57b605e \
+ --hash=sha256:61ea1ebe1e55a34ea8199cc8dbff398d35027b82271c8ac4802fd3a1fd5b1bcc \
+ --hash=sha256:62fc1bc8eb03e3a9cadfca713d65614ed8e09d974a283295ffe3a831976b4dc5 \
+ --hash=sha256:6664b7ae7af7294256c53960a6103077f4914cec8ff98479c352f622c6f6b2f0 \
+ --hash=sha256:667e521b37a6c5ccaa044202c235b530f90177ffe2cd4a64ecc213c7dd535feb \
+ --hash=sha256:69491c143d2fe063046e0301e62a810bed338fa4d1ce0fd870c27dc1e09b0d84 \
+ --hash=sha256:6cf74416bdc94ae458b14e37286c1073081850ac8459a00d0c5efef5d44294c6 \
+ --hash=sha256:6e95c7614e705bfe2b04b27aa124adec59752d15813df37e2156747cab3a006b \
+ --hash=sha256:6f041843c4d3a37245c0c056fd955b186bf8b1fb85690cbe40b81230891dc34b \
+ --hash=sha256:752e8b1aa6a4367ef8bf6a1a1e005540f7ed055ba36d7193796812ca5404eb52 \
+ --hash=sha256:75dbcde8751b0a960aa3de173aa5e894d590755c6d7758b7e774c06f1dc3cbdd \
+ --hash=sha256:7ac2027d37c3afbdf4bdd377f2676f6f1d2122a5be1f1137b49dced590b37e75 \
+ --hash=sha256:7ad1ea345759240d6463efa0ed1c704402752e49aa21476620738d74d72d8aa1 \
+ --hash=sha256:86665cee9c4835b7a7f1e8ec2c719b5258d4dc782887aded5a8ae7352a96843b \
+ --hash=sha256:8ff3a2ca028c7eee0c777f9a092038d0a594a9fa04e215f929a22c329e2cb142 \
+ --hash=sha256:91294a9fb94a75542f6e46e4a2ae709bd8d9b51134098cae5cf3bea5478b6d03 \
+ --hash=sha256:943276cf269e0071948d9ff697159c1735e623c1151d88abb09b74659ef0cbea \
+ --hash=sha256:96243987194634bd411066ce40c952e108f86af04db533ecd8ac3ff2a85b1885 \
+ --hash=sha256:984012f71908165449a951de2050d52f276bfe3aa5d5f570f63ddad814370374 \
+ --hash=sha256:9b03d7dc168353b4132965bde20feceabaa470e570c6f59660dfae59b1f9eeb3 \
+ --hash=sha256:9dbb18c1cfb2f6517942fc9314437f66aa06d94436ffb1f06102ef3572f35276 \
+ --hash=sha256:9ebf8d19b17bd0daeb7b7dec81a946a439b753942fd0210d6e96c532249eea6b \
+ --hash=sha256:a525685c2f97da40762b8695eb7aa0af4c8344ca1905c73e4e29cb04d34607dc \
+ --hash=sha256:abdbf6313b8d9efe157edeb7ab6eae4de064b1300ad31abf73755154b30abe68 \
+ --hash=sha256:b69564772b5c8f22ea5f498dff08cfa825045b4d4c4400529000bdf818aa3b2a \
+ --hash=sha256:b8ade5023067f99fe72b88accd30d0ea05a158e9e32a11f124e731ea9695313f \
+ --hash=sha256:bbaefc84548d754be821bba7c4141c4787dda182f9e77f2f87b71213529efa7b \
+ --hash=sha256:bd05de8c1698f8413dd7d869492693a0bf2211543b787ac78cd5e7536af1a6d7 \
+ --hash=sha256:bf0b5e8e0f68ebb494356e577c06c139161efd8d3b9050f93b39b7c26cc54ff0 \
+ --hash=sha256:c414be4ed9d3cac80c42e348fa5a956117d1a48227f48026e31f59cb4a7671eb \
+ --hash=sha256:c47300f9bf791808f77d82747691c4bb09cb14bdf3060cca99b42cdc4361d5a7 \
+ --hash=sha256:c4dc1c1781f2f716de763d1e9a7b34c6a894e167e291c7c5d16c72f7a9538545 \
+ --hash=sha256:c804ae44fe7b4bab5da295e4f980a1ff04670bca9d23fe0a4e887e08ebd741a8 \
+ --hash=sha256:cfac177ebd6236003846ea339981f71457cb6eb748f23381eb257e45092e3980 \
+ --hash=sha256:d2ba24db8a9376921b5e87b4762b9adb0f3f1deaea68f2b8b0bb2c11efb9c3e7 \
+ --hash=sha256:d3182ee2d887e507bd67319a0a61105d1dd33facc111329559a233b772c1a105 \
+ --hash=sha256:d747252933c8a65ef6bd8da0fbb7ce28a90eb6119d8cd00772cd528aa07b68d5 \
+ --hash=sha256:d7e369fd63331746182360977b1892bfc215476a30d61612d732425311639f56 \
+ --hash=sha256:e12bbcd32897272fb05929110362ae9ff4c1b9bb26bd9e971e71dcd3275b4c3d \
+ --hash=sha256:e7ad033e27a516a233bea839cdb77b80146facb3b4f40bf02cd0cac165cdd5c2 \
+ --hash=sha256:e9e15b4a6c7dd6b85b5fbab29488a73f1f70de516942308daa266bf0e0aeb0d4 \
+ --hash=sha256:ed53f7e89bb04f6d9e8e7799112360b0c4d5cbff067de0814c98c37c39b920f7 \
+ --hash=sha256:eff8babca5a7999bc137acbc7482a8b7e17ffca5075ab41f5d770ab408c7bfef \
+ --hash=sha256:f15e3e0b835a6d68b10c86bf80a3149780498d6911c93c3ffd1861d19f9200f1 \
+ --hash=sha256:f3fcbc57b1791fa6cbe5d8434179d51de12be1a4811469529f47f6e7487a2571 \
+ --hash=sha256:f4b653094e18f9031102d3a1da5c729c8f222d85225b18037dac621695e46e1a \
+ --hash=sha256:f79203b3965b4000e91808aaa7c040206093f2b8bf86f455982f2274c9ccf442 \
+ --hash=sha256:fd4dc129784e0c5335bd4e61dfcc4487499a013419e655cf2da1d091b7e0efdc
+ # via zensical
watchdog==6.0.0 \
--hash=sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a \
--hash=sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2 \
@@ -455,7 +440,15 @@ watchdog==6.0.0 \
--hash=sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c \
--hash=sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2
# via mkdocs
-wcwidth==0.2.13 \
- --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \
- --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5
- # via mdformat-tables
+zensical==0.0.71 \
+ --hash=sha256:0b34f58a7f565d956651baf90389aafca5c37a407a72768f30293e415589b932 \
+ --hash=sha256:1e9e39aefdca4b3383b43014e117b27a1ca9f9ac4b25eefa9195099e5a566e2f \
+ --hash=sha256:2d3c2f6360374afc12cd0cfbf087921c6ac4a069b4c1e60a4c80491801dda146 \
+ --hash=sha256:3b206f150eb38d2885158e093113460a5e667847cf36915119c21b20776cee18 \
+ --hash=sha256:433c5a6fecae7b6b5014b7efbc52bb5e0776d715afca60e2832a12162e7d571a \
+ --hash=sha256:57cad23c56a98d87a5eefa7948a98b6ecb479dc99fd7af312cd146555f55f060 \
+ --hash=sha256:81c069cc667946e0a505cc01b99d5ba44883c57f51b95bd5a38003007c5cb6cd \
+ --hash=sha256:bcae388415698cac874e662e667fc0683833cec747607c89037b7e9ad9828830 \
+ --hash=sha256:d22b8924e5145d94bf85b81bd2a8afaeb32e78c8a1ddeb7f4201fc8902547221 \
+ --hash=sha256:fc8ed534717b61f285dc217f165f901f8b8a6142ef37cdd5544976cd99b5720c
+ # via -r docs/requirements.in
diff --git a/docs/stylesheets/fonts.css b/docs/stylesheets/fonts.css
new file mode 100644
index 00000000000..94cb6353d41
--- /dev/null
+++ b/docs/stylesheets/fonts.css
@@ -0,0 +1,207 @@
+/* Self-hosted copies of Ubuntu and Roboto Mono (Ubuntu Font Licence 1.0 / Apache 2.0), downloaded from Google Fonts.
+ Served locally so the docs make no request to fonts.googleapis.com. */
+
+/* Roboto Mono 400 normal (latin-ext) */
+@font-face {
+ font-family: 'Roboto Mono';
+ font-style: normal;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/roboto-mono-latin-ext-400-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Roboto Mono 400 normal (latin) */
+@font-face {
+ font-family: 'Roboto Mono';
+ font-style: normal;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/roboto-mono-latin-400-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Roboto Mono 700 normal (latin-ext) */
+@font-face {
+ font-family: 'Roboto Mono';
+ font-style: normal;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/roboto-mono-latin-ext-700-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Roboto Mono 700 normal (latin) */
+@font-face {
+ font-family: 'Roboto Mono';
+ font-style: normal;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/roboto-mono-latin-700-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 300 italic (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 300;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-300-italic.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 300 italic (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 300;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-300-italic.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 400 italic (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-400-italic.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 400 italic (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-400-italic.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 500 italic (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 500;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-500-italic.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 500 italic (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 500;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-500-italic.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 700 italic (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-700-italic.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 700 italic (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: italic;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-700-italic.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 300 normal (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 300;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-300-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 300 normal (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 300;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-300-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 400 normal (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-400-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 400 normal (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 400;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-400-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 500 normal (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 500;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-500-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 500 normal (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 500;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-500-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+/* Ubuntu 700 normal (latin-ext) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-ext-700-normal.woff2) format('woff2');
+ unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C4, U+2113, U+2C60-2C7F, U+A720-A7FF;
+}
+
+/* Ubuntu 700 normal (latin) */
+@font-face {
+ font-family: 'Ubuntu';
+ font-style: normal;
+ font-weight: 700;
+ font-display: fallback;
+ src: url(fonts/ubuntu-latin-700-normal.woff2) format('woff2');
+ unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+}
+
+:root {
+ --md-text-font: "Ubuntu";
+ --md-code-font: "Roboto Mono";
+}
diff --git a/docs/stylesheets/fonts/roboto-mono-latin-400-normal.woff2 b/docs/stylesheets/fonts/roboto-mono-latin-400-normal.woff2
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diff --git a/docs/tutorial/index.md b/docs/tutorial/index.md
index 05525e5daa3..a759a46c10f 100644
--- a/docs/tutorial/index.md
+++ b/docs/tutorial/index.md
@@ -935,14 +935,14 @@ Within `template.yaml`, we add [CloudWatchPutMetricPolicy](https://docs.aws.amaz
### Simplifying with Metrics
-[Powertools for AWS Lambda (Python) Metrics](../core/metrics.md){target="_blank} uses [Amazon CloudWatch Embedded Metric Format (EMF)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format.html){target="_blank"} to create custom metrics **asynchronously** via a native integration with Lambda.
+[Powertools for AWS Lambda (Python) Metrics](../core/metrics/index.md){target="_blank} uses [Amazon CloudWatch Embedded Metric Format (EMF)](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format.html){target="_blank"} to create custom metrics **asynchronously** via a native integration with Lambda.
In general terms, EMF is a specification that expects metrics in a JSON payload within CloudWatch Logs. Lambda ingests all logs emitted by a given function into CloudWatch Logs. CloudWatch automatically looks up for log entries that follow the EMF format and transforms them into a CloudWatch metric.
???+ info
If you are interested in the details of the EMF mechanism, follow [blog post](https://aws.amazon.com/blogs/mt/enhancing-workload-observability-using-amazon-cloudwatch-embedded-metric-format/){target="_blank"}.
-Let's implement that using [Metrics](../core/metrics.md){target="_blank}:
+Let's implement that using [Metrics](../core/metrics/index.md){target="_blank}:
```python title="Refactoring with Powertools for AWS Lambda (Python) Metrics" hl_lines="1 4 9 18 27 33"
from aws_lambda_powertools import Logger, Tracer, Metrics
@@ -991,7 +991,7 @@ That's a lot less boilerplate code! Let's break this down:
* **L9**: We initialize `Metrics` with our service name (`APP`) and metrics namespace (`MyApp`), reducing the need to add the `service` dimension for every metric and setting the namespace later
* **L18, 27**: We use `add_metric` similarly to our custom function, except we now have an enum `MetricCount` to help us understand which Metric Units we have at our disposal
* **L33**: We use `@metrics.log_metrics` decorator to ensure that our metrics are aligned with the EMF output and validated before-hand, like in case we forget to set namespace, or accidentally use a metric unit as a string that doesn't exist in CloudWatch.
-* **L33**: We also use `capture_cold_start_metric=True` so we don't have to handle that logic either. Note that [Metrics](../core/metrics.md){target="_blank"} does not publish a warm invocation metric (ColdStart=0) for cost reasons. As such, treat the absence (sparse metric) as a non-cold start invocation.
+* **L33**: We also use `capture_cold_start_metric=True` so we don't have to handle that logic either. Note that [Metrics](../core/metrics/index.md){target="_blank"} does not publish a warm invocation metric (ColdStart=0) for cost reasons. As such, treat the absence (sparse metric) as a non-cold start invocation.
Repeat the process of building, deploying, and invoking your application via the API endpoint a few times to generate metrics - [Artillery](https://www.artillery.io/){target="_blank" rel="nofollow"} and [K6.io](https://k6.io/open-source){target="_blank" rel="nofollow"} are quick ways to generate some load.
@@ -1035,7 +1035,7 @@ If you're curious about how the EMF portion of your function logs look like, you
We covered a lot of ground here and we only scratched the surface of the feature set available within Powertools for AWS Lambda (Python).
-When it comes to the observability features ([Tracer](../core/tracer.md){target="_blank"}, [Metrics](../core/metrics.md){target="_blank"}, [Logging](../core/logger.md){target="_blank"}), don't stop there! The goal here is to ensure you can ask arbitrary questions to assess your system's health; these features are only part of the wider story!
+When it comes to the observability features ([Tracer](../core/tracer.md){target="_blank"}, [Metrics](../core/metrics/index.md){target="_blank"}, [Logging](../core/logger.md){target="_blank"}), don't stop there! The goal here is to ensure you can ask arbitrary questions to assess your system's health; these features are only part of the wider story!
This requires a change in mindset to ensure operational excellence is part of the software development lifecycle.
diff --git a/docs/upgrade.md b/docs/upgrade.md
index 57e5aac4030..994a39c5ee1 100644
--- a/docs/upgrade.md
+++ b/docs/upgrade.md
@@ -38,7 +38,7 @@ We've made minimal breaking changes to make your transition to v3 as smooth as p
Before you start, we suggest making a copy of your current working project or create a new branch with git.
1. **Upgrade** Python to at least v3.10.
-2. **Ensure** you have the latest version via [Lambda Layer or PyPi](index.md#install){target="_blank"}.
+2. **Ensure** you have the latest version via [Lambda Layer or PyPi](getting-started/install.md){target="_blank"}.
3. **Review** the following sections to confirm if you need to make changes to your code.
## Drop support for Pydantic v1
diff --git a/docs/utilities/idempotency.md b/docs/utilities/idempotency.md
index 5087222db9e..da7e70ad89c 100644
--- a/docs/utilities/idempotency.md
+++ b/docs/utilities/idempotency.md
@@ -133,7 +133,7 @@ You **can** use a single DynamoDB table for all functions annotated with Idempot
##### Limitations
-* **DynamoDB restricts [item sizes to 400KB](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Limits.html#limits-items){target="_blank"}**. This means that if your annotated function's response must be smaller than 400KB, otherwise your function will fail. Consider [Redis](#redis-database) as an alternative.
+* **DynamoDB restricts [item sizes to 400KB](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Limits.html#limits-items){target="_blank"}**. This means that if your annotated function's response must be smaller than 400KB, otherwise your function will fail. Consider [Cache](#cache-database) as an alternative.
* **Expect 2 WCU per non-idempotent call**. During the first invocation, we use `PutItem` for locking and `UpdateItem` for completion. Consider reviewing [DynamoDB pricing documentation](https://aws.amazon.com/dynamodb/pricing/){target="_blank"} to estimate cost.
diff --git a/docs/utilities/parser.md b/docs/utilities/parser.md
index 0a142caa18b..a359d4364df 100644
--- a/docs/utilities/parser.md
+++ b/docs/utilities/parser.md
@@ -25,7 +25,7 @@ Powertools only supports Pydantic v2, so make sure to install the required depen
pip install aws-lambda-powertools[parser]
```
-!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../index.md#lambda-layer){target="_blank"}"
+!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../getting-started/install.md#lambda-layer){target="_blank"}"
You can also add as a dependency in your preferred tool: `e.g., requirements.txt, pyproject.toml`, etc.
diff --git a/docs/utilities/validation.md b/docs/utilities/validation.md
index 52730016f97..fe7d8f5d670 100644
--- a/docs/utilities/validation.md
+++ b/docs/utilities/validation.md
@@ -32,7 +32,7 @@ You can also use the standalone `validate` function, if you want more control ov
### Install
-!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../index.md#lambda-layer){target="_blank"}"
+!!! info "This is not necessary if you're installing Powertools for AWS Lambda (Python) via [Lambda Layer/SAR](../getting-started/install.md#lambda-layer){target="_blank"}"
Add `aws-lambda-powertools[validation]` as a dependency in your preferred tool: _e.g._, _requirements.txt_, _pyproject.toml_. This will ensure you have the required dependencies before using Validation.
diff --git a/mkdocs.yml b/mkdocs.yml
index bedddb6403e..df695cb51c2 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -17,7 +17,6 @@ nav:
- core/logger.md
- Metrics:
- core/metrics/index.md
- - Amazon CloudWatch EMF: core/metrics.md
- Datadog: core/metrics/datadog.md
- Event Handler:
- core/event_handler/api_gateway.md
@@ -153,8 +152,8 @@ nav:
theme:
name: material
- font:
- text: Ubuntu
+ variant: classic
+ font: false
palette:
- scheme: default
primary: deep purple
@@ -229,8 +228,6 @@ copyright: |
plugins:
- - privacy
- - git-revision-date
- search
- llmstxt:
markdown_description: Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity. It provides a suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier.
@@ -245,7 +242,6 @@ plugins:
- core/tracer.md
- core/logger.md
- core/metrics/index.md
- - core/metrics.md
- core/metrics/datadog.md
- core/event_handler/api_gateway.md
- core/event_handler/appsync.md
@@ -285,7 +281,7 @@ plugins:
enable_inventory: true
handlers:
python:
- import:
+ inventories:
- https://docs.python.org/3/objects.inv
options:
# Headings
@@ -315,6 +311,7 @@ plugins:
summary: true
extra_css:
+ - stylesheets/fonts.css
- stylesheets/extra.css
extra_javascript:
- https://docs.powertools.aws.dev/shared/mermaid.min.js
diff --git a/pyproject.toml b/pyproject.toml
index 03c04dd3752..9e9fe23f6a3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -107,7 +107,6 @@ dev = [
"bandit (>=1.7.10,<2.0.0)",
"radon (>=6.0.1,<7.0.0)",
"xenon (>=0.9.3,<0.10.0)",
- "mkdocs-git-revision-date-plugin (>=0.3.2,<0.4.0)",
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"aws-cdk-lib (>=2.176.0,<3.0.0)",
"aws-cdk.aws-apigatewayv2-alpha (>=2.38.1a0,<3.0.0)",
@@ -118,7 +117,7 @@ dev = [
"pytest-benchmark (>=4,<6)",
"types-requests (>=2.31.0,<3.0.0)",
"typing-extensions (>=4.12.2,<5.0.0)",
- "mkdocs-material (>=9.5.50,<10.0.0)",
+ "zensical (>=0.0.71,<0.1.0) ; python_version >= '3.11'",
"filelock (>=3.16,<5.0)",
"dirhash (>=0.5.0,<0.6.0)",
"mypy-boto3-appconfigdata (>=1.36.0,<2.0.0)",
@@ -142,7 +141,6 @@ dev = [
"boto3-stubs[appconfig,appconfigdata,cloudformation,cloudwatch,dynamodb,lambda,logs,s3,secretsmanager,ssm,xray] (>=1.34.139,<2.0.0)",
"nox (>=2024.4.15,<2027.0.0)",
"mkdocstrings-python (>=1.13,<3.0)",
- "mkdocs-llmstxt>=0.2,<0.6",
"avro (>=1.12.0,<2.0.0)",
"protobuf (>=6.30.2,<8.0.0)",
"types-protobuf (>=6.30.2.20250516,<8.0.0.0)",
diff --git a/uv.lock b/uv.lock
index e22b7c997ee..4356c6eda56 100644
--- a/uv.lock
+++ b/uv.lock
@@ -374,9 +374,6 @@ dev = [
{ name = "hvac" },
{ name = "ijson" },
{ name = "isort" },
- { name = "mkdocs-git-revision-date-plugin" },
- { name = "mkdocs-llmstxt" },
- { name = "mkdocs-material" },
{ name = "mkdocstrings-python" },
{ name = "multiprocess" },
{ name = "mypy" },
@@ -406,6 +403,7 @@ dev = [
{ name = "typing-extensions" },
{ name = "urllib3" },
{ name = "xenon" },
+ { name = "zensical", marker = "python_full_version >= '3.11'" },
]
[package.metadata]
@@ -461,9 +459,6 @@ dev = [
{ name = "hvac", specifier = ">=2.3.0,<3.0.0" },
{ name = "ijson", specifier = ">=3.3.0,<4.0.0" },
{ name = "isort", specifier = ">=5.13.2,<10.0.0" },
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- { name = "mkdocs-llmstxt", specifier = ">=0.2,<0.6" },
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{ name = "mkdocstrings-python", specifier = ">=1.13,<3.0" },
{ name = "multiprocess", specifier = ">=0.70.16,<0.71.0" },
{ name = "mypy", specifier = ">=1.1.1,<3.0.0" },
@@ -493,6 +488,7 @@ dev = [
{ name = "typing-extensions", specifier = ">=4.12.2,<5.0.0" },
{ name = "urllib3", specifier = ">=1.25.4,!=2.2.0,<3" },
{ name = "xenon", specifier = ">=0.9.3,<0.10.0" },
+ { name = "zensical", marker = "python_full_version >= '3.11'", specifier = ">=0.0.71,<0.1.0" },
]
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