## Scope

This Code of Conduct applies within all community spaces and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.

## Enforcement

Instances of abusive, harassing, or otherwise unacceptable behavior may be

The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event. 


## Conflict Resolution

Kubernetes 1.15 consists of **25 enhancements**: 2 moving to stable, 13 in beta, and 10 in alpha. The main themes of this release are:

#### Continuous Improvement

    TensorFlow models, please demonstrate an exploit against one of Alphabet's
    models in <https://tfhub.dev/>
  - An explanation of who can exploit this vulnerability, and what they gain
    when doing so. Write an attack scenario that demonstrates how your issue
    violates the use cases and security assumptions defined in the threat model.

Você pode ler mais sobre nas documentaçãoes do repositório.

## Full Stack FastAPI MongoDB

...pode demorar, dependendo do meu tempo disponível e outros fatores. 😅 🎉

## Modelos de Aprendizado de Máquina com spaCy e FastAPI

labels.process_time_is_exceeded=Лимит времени поиска был превышен. Частичный результат может отображаться.
labels.user_given_name=Имя
labels.givenName=Имя
labels.user_surname=Фамилия
labels.surame=Фамилия
labels.user_mail=E-Mail
labels.mail=E-Mail
labels.user_employeeNumber=employeeNumber
labels.employeeNumber=employeeNumber
labels.user_telephoneNumber=telephoneNumber
labels.telephoneNumber=telephoneNumber
labels.user_homePhone=homePhone

            result.setLabeledURI(DfTypeUtil.toString(source.get("labeledURI")));
            result.setMail(DfTypeUtil.toString(source.get("mail")));
            result.setMobile(DfTypeUtil.toString(source.get("mobile")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setPager(DfTypeUtil.toString(source.get("pager")));

constraints.EAN.message                     = {item} ist kein gültiger {type}-Barcode.
constraints.Email.message                   = {item} ist keine gültige E-Mail-Adresse.
constraints.Length.message                  = Die Länge von {item} muss zwischen {min} und {max} liegen.
constraints.LuhnCheck.message               = Die Prüfziffer für ${value} ist ungültig, die Luhn-Modulo 10-Prüfsumme ist fehlgeschlagen.

* Restored cAdvisor prometheus metrics to the main port -- a regression that existed in v1.7.0-v1.7.2 ([#49079](https://github.com/kubernetes/kubernetes/pull/49079), [@smarterclayton](https://github.com/smarterclayton))

labels.user_given_name=Vorname
labels.givenName=Vorname
labels.user_surname=Nachname
labels.surame=Nachname
labels.user_mail=E-Mail
labels.mail=E-Mail
labels.user_employeeNumber=Personalnummer
labels.employeeNumber=Personalnummer
labels.user_telephoneNumber=Telefonnummer
labels.telephoneNumber=Telefonnummer
labels.user_homePhone=Festnetz-Nummer