{"Attributes are renamed for React (class to className, for to htmlFor, tabindex to tabIndex), styles become objects, empty and void elements are closed, comments become {/* */}, and form values become defaultValue so the fields stay editable.":"React 會重新命名屬性（class 改為 className、for 改為 htmlFor、tabindex 改為 tabIndex），樣式會轉為物件，空元素與 void 元素會加上結尾標籤，註解會轉為{/* */}，表單值會轉為 defaultValue，讓欄位保持可編輯。","Component name":"元件名稱","Copy code":"複製程式碼","Dataclasses":"資料類別","Dropped !important from {0}: React style objects cannot set it; use a CSS class instead.":"已從{0}移除!important：React樣式物件無法設定此屬性，請改用CSS類別。","Each object gets a schema and an inferred type. Keys missing from some objects get .optional(), keys that are sometimes null get .nullable(), and whole numbers get .int(); loosen any rule your API does not guarantee.":"每個物件都會取得一個結構描述和推斷出的型別。部分物件中缺少的鍵會加上.optional()，有時為 null 的鍵會加上.nullable()，整數會加上.int()；API 無法保證的規則請放寬。","HTML":"HTML","HTML to JSX":"HTML轉 JSX","JSON sample":"JSON 範例","JSON to Python":"JSON 轉 Python","JSON to Rust":"JSON 轉 Rust","JSON to Zod":"JSON 轉 Zod","Leave out None fields when serializing":"序列化時略過 None 欄位","Needs the serde (with the derive feature) and serde_json crates. Field names become snake_case with #[serde(rename)] where the key differs; keys missing or null in some objects become Option. Numbers are i64 unless a sample has a fraction.":"需要 serde（含 derive 功能）和 serde_json crate。鍵名不同時，欄位名稱會轉為 snake_case，並使用#[serde(rename)]；部分物件中缺少或為 null 的鍵會轉為 Option。除非範例包含小數，否則數字會使用 i64。","Output":"輸出","Removed {0}=\"{1}\" on <{2}>: write it as a function, such as onClick={() => …}.":"已移除<{2}>上的{0}=\"{1}\"：請將它改寫為函式，例如onClick={() => …}。","Type name":"型別名稱","Wrap in a component":"包裝在元件中","Written for Python 3.10 or later. Keys missing from some objects become optional; keys that are sometimes null become “| None”. Dataclasses do not map renamed keys back to JSON, so use Pydantic, which adds aliases, when keys are not valid Python names.":"適用於 Python 3.10 或更新版本。部分物件中缺少的鍵會變成選用；有時為 null 的鍵會變成“| None”。資料類別不會將重新命名的鍵對應回 JSON，因此當鍵不是有效的 Python 名稱時，請使用會加入別名的 Pydantic。"}