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fix conflict

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This commit is contained in:
tsuky_chen
2024-03-21 16:01:31 +08:00
parent 3d2ff5d64e d8c8627e78
commit ca03baacf5
53 changed files with 3072 additions and 298 deletions
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4
evaluation_examples/examples/multi_apps/4c26e3f3-3a14-4d86-b44a-d3cedebbb487.json
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@@ -30,12 +30,12 @@
],
"evaluator": {
"func": "check_brightness_decrease_and_structure_sim",
"expected": {
"result": {
"type": "vm_file",
"path": "/home/user/Desktop/background.png",
"dest": "background.png"
},
"result": {
"expected": {
"type": "cloud_file",
"path": "https://drive.usercontent.google.com/download?id=13if1UwZ5ay6ADAVW2jp3rcyvAEBse6MJ&export=download&authuser=0&confirm=t&uuid=2ea03068-1874-4240-baa1-f8bb2f917a99&at=APZUnTXq6dVlASg819jCaI1A-rm2:1710136385956",
"dest": "image_original.png"

4
evaluation_examples/examples/multi_apps/51f5801c-18b3-4f25-b0c3-02f85507a078.json
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@@ -9,7 +9,7 @@
"parameters": {
"files": [
{
"url": "https://drive.usercontent.google.com/download?id=1e12nL_V7bffaLSocQ86EiGCdygzggWeu&export=download",
"url": "https://drive.usercontent.google.com/download?id=1epTcblcYh8j_wFtA-aiXPIF2Oo1IVw8A&export=download",
"path": "/home/user/Desktop/Dickinson_Slides.pptx"
}
]
@@ -36,7 +36,7 @@
},
"expected": {
"type": "cloud_file",
"path": "https://drive.usercontent.google.com/download?id=1Xl6tgQ0K5qA1BDA2fKTK2xFLzXwbtkZ6&export=download",
"path": "https://drive.usercontent.google.com/download?id=1vUvaQLJUtFgbZi7lSzl0y0TS_WecFczm&export=download",
"dest": "notes_gold.docx"
},
"options": {

122
evaluation_examples/examples/multi_apps/6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a.json
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@@ -1,50 +1,50 @@
{
"id": "6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a",
"snapshot": "multiapps",
"instruction": "I now want to count the meeting cities of the three machine learning conferences in the past ten years from 2013 to 2019(including 2013 and 2019). I have listed the names and years of the conferences in excel. Please fill in the vacant locations.",
"source": "author",
"config": [
{
"type": "download",
"parameters": {
"files": [
{
"url": "https://drive.google.com/uc?export=download&id=19wUxTQeoKr6ihJWJ_9cu2tzKQH0cnxWH",
"path": "/home/user/Desktop/ConferenceCity.xlsx"
}
]
}
},
{
"type": "open",
"parameters": {
"path": "/home/user/Desktop/ConferenceCity.xlsx"
}
}
],
"trajectory": "trajectories/",
"related_apps": [
"calc", "chrome", "os"
],
"evaluator": {
"postconfig":[
{
"type": "download",
"parameters": {
"files": [
{
"url": "https://drive.google.com/uc?export=download&id=1ZcITkIOs2Z86S5L6MShSohFs3_xVfeCP",
"path": "/home/user/Desktop/ConferenceCity_Gold.xlsx"
}
]
}
},
{
"type": "activate_window",
"parameters": {
"window_name": "ConferenceCity.xlsx - LibreOffice Calc"
}
},
"id": "6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a",
"snapshot": "multiapps",
"instruction": "I now want to count the meeting cities of the three machine learning conferences in the past ten years from 2013 to 2019(including 2013 and 2019). I have listed the names and years of the conferences in excel. Please fill in the vacant locations.",
"source": "author",
"config": [
{
"type": "download",
"parameters": {
"files": [
{
"url": "https://drive.google.com/uc?export=download&id=19wUxTQeoKr6ihJWJ_9cu2tzKQH0cnxWH",
"path": "/home/user/Desktop/ConferenceCity.xlsx"
}
]
}
},
{
"type": "open",
"parameters": {
"path": "/home/user/Desktop/ConferenceCity.xlsx"
}
}
],
"trajectory": "trajectories/",
"related_apps": [
"calc", "chrome", "os"
],
"evaluator": {
"postconfig":[
{
"type": "download",
"parameters": {
"files": [
{
"url": "https://drive.google.com/uc?export=download&id=1ZcITkIOs2Z86S5L6MShSohFs3_xVfeCP",
"path": "/home/user/Desktop/ConferenceCity_Gold.xlsx"
}
]
}
},
{
"type": "activate_window",
"parameters": {
"window_name": "ConferenceCity.xlsx - LibreOffice Calc"
}
},
{
"type": "execute",
"parameters": {
@@ -55,18 +55,18 @@
]
}
}
],
"func": "compare_conference_city_in_order",
"expected": {
"type": "rule",
"rules":{
"expected": ["Scottsdale","Atlanta","Lake Tahoe","Banff","Beijing",["Montreal", "Montréal"],"San Diego","Lille",["Montreal", "Montréal"],"San Juan",["New York", "New York City", "NYC"],"Barcelona","Toulon","Sydney","Long Beach","Vancouver","Stockholm",["Montreal", "Montréal"],"New Orleans","Long Beach","Vancouver"]
}
},
"result": {
"type": "vm_file",
"path": "/home/user/Desktop/ConferenceCity.xlsx",
"dest": "ConferenceCity.xlsx"
}
}
}
],
"func": "compare_conference_city_in_order",
"expected": {
"type": "rule",
"rules":{
"expected": ["Scottsdale","Atlanta","Lake Tahoe","Banff","Beijing",["Montreal", "Montréal"],"San Diego","Lille",["Montreal", "Montréal"],"San Juan",["New York", "New York City", "NYC"],"Barcelona","Toulon","Sydney","Long Beach","Vancouver","Stockholm",["Montreal", "Montréal"],"New Orleans","Long Beach","Vancouver"]
}
},
"result": {
"type": "vm_file",
"path": "/home/user/Desktop/ConferenceCity.xlsx",
"dest": "ConferenceCity.xlsx"
}
}
}

4
evaluation_examples/examples/multi_apps/b5062e3e-641c-4e3a-907b-ac864d2e7652.json
View File

@@ -38,7 +38,7 @@
}
},
{
"type": "execute",
"type": "launch",
"parameters": {
"command": [
"nautilus",
@@ -109,4 +109,4 @@
]
}
}
}
}

19
evaluation_examples/examples/multi_apps/demo.py
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@@ -1,19 +0,0 @@
import pandas as pd
file_path = "/Users/lxc/Downloads/Speedtest.csv"
# 找到csv第二行的第二个数据格里的值
# with open(file_path, "r") as f:
# for i, line in enumerate(f):
# if i == 1:
# data = line.split(",")[1]
# break
# print(data)
with open(file_path, "r") as f:
reader = pd.read_csv(f, sep=',', header=None)
# for column in reader.columns:
# if column.startswith("TEST_DATE"):
# data_col = column
# break
for data in reader['TEST_DATE']:
print(data)

4
evaluation_examples/examples/multi_apps/e2392362-125e-4f76-a2ee-524b183a3412.json
View File

@@ -31,7 +31,7 @@
"command": [
"tar",
"-xJvf",
".tmp.tar.xz",
"/home/user/.tmp.tar.xz",
"-C",
"/home/user/Code/Website/"
]
@@ -124,4 +124,4 @@
"dest": "_config.yaml"
}
}
}
}