### Summary

I used to say I didn't like history that much... and look at me now giving "tech history" lessons. 😅

the defaults for the Go toolchain used to build the program,
amended to match the Go version listed in `go.mod`,
and then overridden by explicit `//go:debug` lines in the program.

The [GODEBUG History](#history) gives the exact defaults for each Go toolchain version.
For example, Go 1.21 introduces the `panicnil` setting,
controlling whether `panic(nil)` is allowed;
it defaults to `panicnil=0`, making `panic(nil)` a run-time error.

    # For passlib
    "ignore:'crypt' is deprecated and slated for removal in Python 3.13:DeprecationWarning",
    # see https://trio.readthedocs.io/en/stable/history.html#trio-0-22-0-2022-09-28
    "ignore:You seem to already have a custom.*:RuntimeWarning:trio",
    # TODO: remove after upgrading SQLAlchemy to a version that includes the following changes

These modifications and conversions are handled by a variety of libraries that
have different security properties and provide different levels of confidence
when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,

  - help-fastapi.md
  - contributing.md
  - project-generation.md
  - external-links.md
  - newsletter.md
  - management-tasks.md
- About:
  - about/index.md
  - alternatives.md
  - history-design-future.md
  - benchmarks.md
  - management.md
- release-notes.md

markdown_extensions:
  # Python Markdown
  abbr:
  attr_list:
  footnotes:
  md_in_html:
  tables:
  toc:

* Add translation to Portuguese for [History, Design and Future - História, Design e Futuro](https://fastapi.tiangolo.com/pt/history-design-future/). PR [#1249](https://github.com/tiangolo/fastapi/pull/1249) by [@marcosmmb](https://github.com/marcosmmb).

    [Debugger V2](https://www.tensorflow.org/tensorboard/debugger_v2), which
    reveals the details of the TensorFlow program including graph structures,
    history of op executions at the Python (eager) and intra-graph levels, the
    runtime dtype, shape, and numerical composition of tensors, as well as their
    code locations.

## Breaking Changes