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lite_metadata: | |
gradio_version: 3.32.0 | |
liteobj_version: 0.0.7 | |
class_string: gradio.interface.Interface | |
kwargs: | |
title: Gradio Webapp | |
description: Given two sorted arrays nums1 and nums2 of size m and n respectively, | |
return the median of the two sorted arrays | |
article: null | |
thumbnail: null | |
theme: gradio/seafoam | |
css: null | |
allow_flagging: never | |
inputs: | |
- class_string: gradio.components.Dataframe | |
kwargs: | |
label: nums1 | |
type: array | |
- class_string: gradio.components.Dataframe | |
kwargs: | |
label: nums2 | |
type: array | |
outputs: | |
- class_string: gradio.components.Number | |
kwargs: | |
label: output | |
fn: | |
class_string: gradify.gradify_closure | |
kwargs: | |
argmaps: | |
- label: nums1 | |
postprocessing: 'lambda array: list(map(int, array[0]))' | |
- label: nums2 | |
postprocessing: 'lambda array: list(map(int, array[0]))' | |
func_kwargs: {} | |
source: "def findMedianSortedArrays(nums1, nums2):\n nums1.extend(nums2)\n\ | |
\ nums1.sort()\n n = len(nums1)\n if n % 2 == 0:\n return\ | |
\ (nums1[n // 2] + nums1[n // 2 - 1]) / 2\n else:\n return nums1[n\ | |
\ // 2]\n" | |