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| 2025-10-30T10:50:54.773784Z INFO detect::mic::macos: adding_system_listener_success | |
| 2025-10-30T10:50:54.773934Z INFO detect::mic::macos: adding_device_listener_success | |
| 2025-10-30T10:50:55.105353Z INFO tauri_plugin_tracing::ext: [String("[LocalPersister]"), String("BEGIN"), Null] | |
| 2025-10-30T10:50:55.139217Z WARN tauri_plugin_tracing::ext: [String("[tiptap warn]: Duplicate extension names found: ['clipboardTextSerializer']. This can lead to issues.")] | |
| 2025-10-30T10:50:55.157584Z INFO tauri_plugin_tracing::ext: [String("[AutoEnhance] Skip: No language model available")] | |
| 2025-10-30T10:50:55.161043Z INFO tauri_plugin_tracing::ext: [String("[LocalPersister]"), String("SELECT t.name tn,c.name cn FROM pragma_table_list()t,pragma_table_info(t.name)c WHERE t.schema='main'AND t.type IN('table','view')AND t.name IN($1)ORDER BY t.name,c.name"), Array [String("main")]] | |
| 2025-10-30T10:50:55.193129Z INFO tauri_plugin_tracing::ext: [String("[LocalPersister]"), String("END"), Null] | |
| 2025-10-30T10:50:55.204438Z INFO tauri |
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| defmodule CanaryWeb.SettingsSubdomainLive do | |
| use CanaryWeb, :live_view | |
| def render(assigns) do | |
| ~H""" | |
| <div> | |
| <.form :let={f} for={@subdomain_form} class="flex flex-col gap-4" phx-submit="subdomain-submit"> | |
| <input type="hidden" name={f[:account_id].name} value={@current_account.id} /> | |
| <input | |
| name={f[:name].name} |
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| Text-to-Table: A New Way of Information Extraction | |
| Xueqing Wu1 , Jiacheng Zhang2 , Hang Li2 | |
| University of Illinois Urbana-Champaign1 | |
| ByteDance AI Lab2 | |
| xueqing8@illinois.edu | |
| zhangjiacheng.grit,lihang.lh@bytedance.com | |
| Abstract | |
| arXiv:2109.02707v2 [cs.CL] 16 Mar 2022 |
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| arXiv:1706.03762v5 [cs.CL] 6 Dec 2017 | |
| Attention Is All You Need | |
| Ashish Vaswani∗ | |
| Google Brain | |
| avaswani@google.com | |
| Llion Jones∗ | |
| Google Research | |
| llion@google.com |
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| // Idea from https://stackoverflow.com/questions/53755017/can-i-randomly-sample-from-a-hashset-efficiently | |
| use std::collections::HashSet; | |
| pub struct VecSet<T> { | |
| set: HashSet<T>, | |
| vec: Vec<T>, | |
| } | |
| impl<T> VecSet<T> |
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| export const flatKey = (input: object, keys: string[]): any => { | |
| if (typeof input !== "object") { | |
| return input; | |
| } | |
| if (Array.isArray(input)) { | |
| return input.map((element) => flatKey(element, keys)); | |
| } | |
| return Object.entries(input).reduce((acc, [key, value]) => { |
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| <script> | |
| export let values; | |
| </script> | |
| <slot {values}/> | |
| <!-- https://svelte.dev/repl/fbe11bd5d3b84dfc91bdba645e4b69e2?version=3.44.3 --> |
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| <script lang="ts"> | |
| import {onMount} from "svelte"; | |
| export let query: string; | |
| let isMatched = false; | |
| const mediaQueryList = window.matchMedia(query); | |
| const mqlListener = ({matches}: MediaQueryList): void => {isMatched = matches;}; |
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| enum SDL { | |
| ID = 'ID', | |
| Int = 'Int', | |
| Float = 'Float', | |
| String = 'String', | |
| Boolean = 'Boolean', | |
| } | |
| enum PSL { | |
| Int = 'Int', |
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| type Rule = { | |
| matcher: (field: DMMF.Field, model: DMMF.Model) => boolean; | |
| transformer: (field: DMMF.Field, type: DMMF.Field['type']) => DMMF.Field['type']); | |
| }; |
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