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GITHUB . COM {}

Detected CMS Systems:

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Github.com Make Money
  6. How Much Does Github.com Make
  7. Wordpress Themes And Plugins
  8. Keywords
  9. Topics
  10. Payment Methods
  11. Questions
  12. External Links
  13. Analytics And Tracking
  14. Libraries
  15. Hosting Providers

We are analyzing https://github.com/pydantic/pydantic/pull/10769.

Title:
Only evaluate `FieldInfo` annotations if required during schema building by Viicos · Pull Request #10769 · pydantic/pydantic · GitHub
Description:
By adding a new evaluated attribute that can be set during model fields collection. Also refactor a bit the utility functions to eval such annotations. Change Summary Related issue number Check...
Website Age:
17 years and 8 months (reg. 2007-10-09).

Matching Content Categories {📚}

  • Books & Literature
  • Social Networks
  • Technology & Computing

Content Management System {📝}

What CMS is github.com built with?


Github.com is based on WORDPRESS.

Traffic Estimate {📈}

What is the average monthly size of github.com audience?

🚀🌠 Tremendous Traffic: 10M - 20M visitors per month


Based on our best estimate, this website will receive around 10,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Github.com Make Money? {💸}


Subscription Packages {💳}

We've located a dedicated page on github.com that might include details about subscription plans or recurring payments. We identified it based on the word pricing in one of its internal links. Below, you'll find additional estimates for its monthly recurring revenues.

How Much Does Github.com Make? {💰}


Subscription Packages {💳}

Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.

Wordpress Themes and Plugins {🎨}

What WordPress theme does this site use?

It is strange but we were not able to detect any theme on the page.

What WordPress plugins does this website use?

It is strange but we were not able to detect any plugins on the page.

Keywords {🔍}

sydneyrunkle, viicos, commented, contributor, nameerror, type, member, view, annotation, function, evaluated, reviewed, author, show, resolved, pull, fieldinfoevaluated, pydanticinternalgenerateschemapy, return, fieldinfo, merged, request, comment, added, int, pydanticinternaltypingextrapy, deprecated, bool, result, sign, evaluate, annotations, required, issue, main, refactor, bot, call, edited, dac, branch, obj, typealiastype, originvalue, moved, raise, evaltype, schema, commits, conversation,

Topics {✒️}

sydney-runkle added topic-performance sydney-runkle added relnotes-performance contributor sydney-runkle commented contributor sydney-runkle left contributor sydney-runkle pydantic/_internal/_typing_extra sydney-runkle mentioned pydantic/_internal/_generate_schema pull request title view reviewed model fields collection 076da3c status fieldinfo-evaluated branch types namespaces refactor py refactor pr python import typeddict pydantic-docs pull request preserve relevant errors _typing_extra module specific line anymore thing tomorrow morning evaluate fieldinfo annotations type alias type conversation coverable code conditional logic required type checking fails annotation = _typing_extra move forward single signature idea failed eval similar py comment good summary //fieldinfo-evaluated fieldinfo-evaluated preview url fieldinfo = import_cached_field_info __value__ attribute 👍 1 cloudflare-workers 076da3c basically reintroduce literal[true] merge issues class typeevaluationfailure evaluated attribute _typing_extra module commit

Payment Methods {📊}

  • Braintree

Questions {❓}

  • Already have an account?
  • Maybe I'm misunderstanding - was this moved below?
  • One other idea - could we revert to that single signature idea, and manufacture a NameError if evaluated is False based on the input?
  • Seems like both the overload and structured return value have different drawbacks: what is result if it failed to evaluate?
  • Then, we could have one function and preserve relevant errors, but also intuitively handle attempted evals?
  • This is a very internal function - can we just deprecate this?
  • You mean something like dict[str, tuple[Any, bool | NameError]] in the return type?
  • Py refactor PR?

External Links {🔗}(12)

Analytics and Tracking {📊}

  • Site Verification - Google

Libraries {📚}

  • Clipboard.js
  • D3.js

Emails and Hosting {✉️}

Mail Servers:

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Name Servers:

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9.89s.