本文整理汇总了TypeScript中@nteract/types.NotebookModel.updateIn方法的典型用法代码示例。如果您正苦于以下问题:TypeScript NotebookModel.updateIn方法的具体用法?TypeScript NotebookModel.updateIn怎么用?TypeScript NotebookModel.updateIn使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类@nteract/types.NotebookModel
的用法示例。
在下文中一共展示了NotebookModel.updateIn方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的TypeScript代码示例。
示例1: toggleTagInCell
function toggleTagInCell(
state: NotebookModel,
action: actionTypes.ToggleTagInCell
): NotebookModel {
const { id, tag } = action.payload;
return state.updateIn(["notebook", "cellMap", id, "metadata", "tags"], tags =>
tags.has(tag) ? tags.remove(tag) : tags.add(tag)
);
}
示例2: unhideAll
function unhideAll(state: NotebookModel, action: actionTypes.UnhideAll) {
return state.updateIn(["notebook", "cellMap"], cellMap =>
cellMap.map((cell: ImmutableCell) => {
if ((cell as any).get("cell_type") === "code") {
return cell.mergeIn(["metadata"], {
// TODO: Verify that we convert to one namespace for hidden input/output
outputHidden: action.payload.outputHidden,
inputHidden: action.payload.inputHidden
});
}
return cell;
})
);
}
示例3: toggleTagInCell
function toggleTagInCell(
state: NotebookModel,
action: actionTypes.ToggleTagInCell
): RecordOf<DocumentRecordProps> {
const { id, tag } = action.payload;
return state.updateIn(
["notebook", "cellMap", id, "metadata", "tags"],
tags => {
if (tags) {
return tags.has(tag) ? tags.remove(tag) : tags.add(tag);
} else {
return Set([tag]);
}
}
);
}
示例4: toggleOutputExpansion
function toggleOutputExpansion(
state: NotebookModel,
action: actionTypes.ToggleCellExpansion
): RecordOf<DocumentRecordProps> {
const id = action.payload.id ? action.payload.id : state.cellFocused;
if (!id) {
return state;
}
return state.updateIn(
["notebook", "cellMap"],
(cells: Map<CellId, ImmutableCell>) =>
cells.setIn(
[id, "metadata", "outputExpanded"],
!cells.getIn([id, "metadata", "outputExpanded"])
)
);
}
示例5: moveCell
function moveCell(state: NotebookModel, action: actionTypes.MoveCell) {
return state.updateIn(
["notebook", "cellOrder"],
(cellOrder: Immutable.List<CellId>) => {
const oldIndex = cellOrder.findIndex(
(id: string) => id === action.payload.id
);
const newIndex =
cellOrder.findIndex(
(id: string) => id === action.payload.destinationId
) + (action.payload.above ? 0 : 1);
if (oldIndex === newIndex) {
return cellOrder;
}
return cellOrder
.splice(oldIndex, 1)
.splice(newIndex - (oldIndex < newIndex ? 1 : 0), 0, action.payload.id);
}
);
}
示例6: acceptPayloadMessage
function acceptPayloadMessage(
state: NotebookModel,
action: actionTypes.AcceptPayloadMessage
): NotebookModel {
const id: string = action.payload.id;
const payload = action.payload.payload as PayloadMessage;
if (payload.source === "page") {
// append pager
return state.updateIn(["cellPagers", id], l =>
(l || Immutable.List()).push(payload.data)
);
} else if (payload.source === "set_next_input") {
if (payload.replace) {
// this payload is sent in IPython when you use %load
// and is intended to replace cell source
return state.setIn(["notebook", "cellMap", id, "source"], payload.text);
} else {
// create the next cell
// FIXME: This is a weird pattern. We're basically faking a dispatch here
// inside a reducer and then appending to the result. I think that both of
// these reducers should just handle the original action.
return createCellBelow(state, {
type: actionTypes.CREATE_CELL_BELOW,
// $FlowFixMe: Switch this over to creating a cell after without having to take an action
payload: {
cellType: "code",
// TODO: is payload.text guaranteed to be defined?
source: payload.text || "",
id,
contentRef: action.payload.contentRef
}
});
}
}
// If the payload is unsupported, just return the current state
return state;
}
示例7:
(currState: NotebookModel, kp: KeyPath) =>
currState.updateIn(kp, output => {
return output.merge(updatedContent);
}),
示例8: appendOutput
function appendOutput(
state: NotebookModel,
action: actionTypes.AppendOutput
): RecordOf<DocumentRecordProps> {
const output = action.payload.output;
const cellId = action.payload.id;
/**
* If it is not a display_data or execute_result with
* a display_id, then treat it as a normal output and don't
* add its index to the keyPaths.
*/
if (
(output.output_type !== "execute_result" &&
output.output_type !== "display_data") ||
!has(output, "transient.display_id")
) {
return state.updateIn(
["notebook", "cellMap", cellId, "outputs"],
(outputs: List<ImmutableOutput>): List<ImmutableOutput> =>
reduceOutputs(outputs, output)
);
}
// We now have a display_data that includes a transient display_id
// output: {
// data: { 'text/html': '<b>woo</b>' }
// metadata: {}
// transient: { display_id: '12312' }
// }
// We now have a display to track
let displayID;
let typedOutput;
if (output.output_type === "execute_result") {
typedOutput = output as OnDiskExecuteResult;
} else {
typedOutput = output as OnDiskDisplayData;
}
displayID = typedOutput.transient!.display_id;
// Every time we see a display id we're going to capture the keypath
// to the output
// Determine the next output index
const outputIndex = state
.getIn(["notebook", "cellMap", cellId, "outputs"])
.count();
// Construct the path to the output for updating later
const keyPath: KeyPath = List([
"notebook",
"cellMap",
cellId,
"outputs",
outputIndex
]);
const keyPaths: KeyPaths = (
state
// Extract the current list of keypaths for this displayID
.getIn(["transient", "keyPathsForDisplays", displayID]) || List()
)
// Append our current output's keyPath
.push(keyPath);
const immutableOutput = createImmutableOutput(output);
// We'll reduce the overall state based on each keypath, updating output
return state
.updateIn(keyPath, () => immutableOutput)
.setIn(["transient", "keyPathsForDisplays", displayID], keyPaths);
}
示例9: appendOutput
function appendOutput(state: NotebookModel, action: actionTypes.AppendOutput) {
const output = action.payload.output;
const cellId = action.payload.id;
// If it's display data and it doesn't have a display id, fold it in like non
// display data
if (
output.output_type !== "display_data" ||
!has(output, "transient.display_id")
) {
return state.updateIn(
["notebook", "cellMap", cellId, "outputs"],
(
outputs: Immutable.List<Immutable.Map<string, any>>
): Immutable.List<Immutable.Map<string, any>> =>
reduceOutputs(outputs, output)
);
}
// We now have a display_data that includes a transient display_id
// output: {
// data: { 'text/html': '<b>woo</b>' }
// metadata: {}
// transient: { display_id: '12312' }
// }
// We now have a display to track
const displayID = output.transient!.display_id;
// Every time we see a display id we're going to capture the keypath
// to the output
// Determine the next output index
const outputIndex = state
.getIn(["notebook", "cellMap", cellId, "outputs"])
.count();
// Construct the path to the output for updating later
const keyPath: KeyPath = Immutable.List([
"notebook",
"cellMap",
cellId,
"outputs",
outputIndex
]);
const keyPaths: KeyPaths = (
state
// Extract the current list of keypaths for this displayID
.getIn(["transient", "keyPathsForDisplays", displayID]) ||
Immutable.List()
)
// Append our current output's keyPath
.push(keyPath);
const immutableOutput = createImmutableOutput(output);
// We'll reduce the overall state based on each keypath, updating output
return keyPaths
.reduce(
(currState: NotebookModel, kp: KeyPath) =>
// $FlowFixMe
currState.setIn(kp, immutableOutput),
state
)
.setIn(["transient", "keyPathsForDisplays", displayID], keyPaths);
}