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docs/pt/docs/deployment/https.md
## Let's Encrypt Antes de Let's Encrypt, esses certificados HTTPS eram vendidos por terceiros confiáveis. O processo de aquisição de um desses certificados costumava ser complicado, exigia bastante papelada e os certificados eram bastante caros. Mas então <a href="https://letsencrypt.org/" class="external-link" target="_blank">Let's Encrypt</a> foi criado.
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src/main/resources/fess_indices/fess/pt/stopwords.txt
hajamos hajam houvesse houvéssemos houvessem houver houvermos houverem houverei houverá houveremos houverão houveria houveríamos houveriam sou somos são era éramos eram fui foi fomos foram fora fôramos seja sejamos sejam fosse fôssemos fossem for formos forem serei será seremos serão seria seríamos
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src/main/resources/fess_indices/fess/es/stopwords.txt
eres es somos sois son sea seas seamos seáis sean seré serás será seremos seréis serán sería serías seríamos seríais serían era eras éramos erais eran fui fuiste fue fuimos fuisteis fueron fuera fueras fuéramos fuerais fueran fuese fueses fuésemos fueseis fuesen siendo sido tengo
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src/main/webapp/js/jquery-3.7.1.min.map
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src/main/webapp/js/admin/jquery-3.7.1.min.map
,EAAOhR,SAAkBgR,EAAS,MAEpD6H,QAAS,SAAU3W,GAClB,OAAO+I,EAAK/I,EAAM,eAEnB4W,aAAc,SAAU5W,EAAM2E,EAAIqQ,GACjC,OAAOjM,EAAK/I,EAAM,aAAcgV,IAEjChM,KAAM,SAAUhJ,GACf,OAAOkW,EAASlW,EAAM,gBAEvBiW,KAAM,SAAUjW,GACf,OAAOkW,EAASlW,EAAM,oBAEvB6W,QAAS,SAAU7W,GAClB,OAAO+I,EAAK/I,EAAM,gBAEnBwW,QAAS,SAAUxW,GAClB,OAAO+I,EAAK/I,EAAM,oBAEnB8W,UAAW,SAAU9W,EAAM2E,EAAIqQ,GAC9B,OAAOjM,EAAK/I,EAAM,cAAegV,IAElC+B,UAAW,SAAU/W,EAAM2E,EAAIqQ,GAC9B,OAAOjM,EAAK/I,EAAM,kBAAmBgV,IAEtCG,SAAU,SAAUnV,GACnB,OAAOmV,GAAYnV,EAAKb,YAAc,IA...
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docs/pt/docs/async.md
Mas você também pode explorar os benefícios do paralelismo e multiprocessamento (tendo múltiplos processadores rodando em paralelo) para trabalhos pesados que geram **limite de CPU** como aqueles em sistemas de Machine Learning.
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src/main/webapp/js/admin/moment-with-locales.min.js.map
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docs/zh/docs/deployment/concepts.md
### 每个进程的内存 现在,当程序将内容加载到内存中时,例如,将机器学习模型加载到变量中,或者将大文件的内容加载到变量中,所有这些都会消耗服务器的一点内存 (RAM) 。 多个进程通常**不共享任何内存**。 这意味着每个正在运行的进程都有自己的东西、变量和内存。 如果您的代码消耗了大量内存,**每个进程**将消耗等量的内存。 ### 服务器内存 例如,如果您的代码加载 **1 GB 大小**的机器学习模型,则当您使用 API 运行一个进程时,它将至少消耗 1 GB RAM。 如果您启动 **4 个进程**(4 个工作进程),每个进程将消耗 1 GB RAM。 因此,您的 API 总共将消耗 **4 GB RAM**。 如果您的远程服务器或虚拟机只有 3 GB RAM,尝试加载超过 4 GB RAM 将导致问题。 🚨 ### 多进程 - 一个例子
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docs/pt/docs/deployment/concepts.md
E se o seu servidor remoto ou máquina virtual tiver apenas 3 GB de RAM, tentar carregar mais de 4 GB de RAM causará problemas. 🚨 ### Processos Múltiplos - Um Exemplo
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docs/pt/docs/advanced/templates.md
```Python hl_lines="4 11 15-18" {!../../docs_src/templates/tutorial001.py!} ``` /// note Antes do FastAPI 0.108.0, Starlette 0.29.0, `name` era o primeiro parâmetro. Além disso, em versões anteriores, o objeto `request` era passado como parte dos pares chave-valor no "context" dict para o Jinja2. /// /// tip | "Dica"
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