意图,通常用作 明确的意图 ,
显式意图,在同一应用程序中的两个活动之间进行通信。
并且意图是这样的:
class MainActivity : FlutterActivity() {
fun openActivityTwo(){
startActivity(Intent(this@MainActivity,ActivityTwo::class.java))
}
}
class ActivityTwo : FlutterActivity() {}
我看到您的代码非常类似于 flutter教程:在flutter应用中托管本机android视图,带有平台视图
如教程所示,您不需要MethodChannel
只需在MainActivity
中注册Android本机视图,
class MainActivity : FlutterActivity() {
override fun configureFlutterEngine(flutterEngine: FlutterEngine) {
flutterEngine
.platformViewsController
.registry
.registerViewFactory("key", NativeViewFactory())
}
}
然后在dart
中使用,
class MyApp extends StatelessWidget {
const MyApp({Key? key}) : super(key: key);
static const String _title = 'Flutter Code Sample';
@override
Widget build(BuildContext context) {
return const MaterialApp(
title: _title,
home: Scaffold(
body: One(),
),
);
}
}
class One extends StatefulWidget {
const One({Key? key}) : super(key: key);
@override
State<One> createState() => _OneState();
}
class _OneState extends State<One> {
@override
Widget build(BuildContext context) {
// This is used in the platform side to register the view.
const String viewType = 'key';
// Pass parameters to the platform side.
const Map<String, dynamic> creationParams = <String, dynamic>{};
return PlatformViewLink(
viewType: viewType,
surfaceFactory: (context, controller) {
return AndroidViewSurface(
controller: controller as AndroidViewController,
gestureRecognizers: const <Factory<OneSequenceGestureRecognizer>>{},
hitTestBehavior: PlatformViewHitTestBehavior.opaque,
);
},
onCreatePlatformView: (params) {
return PlatformViewsService.initSurfaceAndroidView(
id: params.id,
viewType: viewType,
layoutDirection: TextDirection.ltr,
creationParams: creationParams,
creationParamsCodec: const StandardMessageCodec(),
onFocus: () {
params.onFocusChanged(true);
},
)
..addOnPlatformViewCreatedListener(params.onPlatformViewCreated)
..create();
},
);
}
}
您可以在没有方法频道的情况下处理相关数据
比较基础,plyr
和dplyr
解决方案,似乎基本的速度仍然快得多!
library(plyr)
library(dplyr)
df <- data_frame(Group1=rep(LETTERS, each=1000),
Group2=rep(rep(1:10, each=100),26),
Value=rnorm(26*1000))
microbenchmark(Base=df %>%
split(list(.$Group2, .$Group1)),
dplyr=df %>%
group_by(Group1, Group2) %>%
do(data = (.)) %>%
select(data) %>%
lapply(function(x) {(x)}) %>% .[[1]],
plyr=dlply(df, c("Group1", "Group2"), as.tbl),
times=50)
给出:
Unit: milliseconds
expr min lq mean median uq max neval
Base 12.82725 13.38087 16.21106 14.58810 17.14028 41.67266 50
dplyr 25.59038 26.66425 29.40503 27.37226 28.85828 77.16062 50
plyr 99.52911 102.76313 110.18234 106.82786 112.69298 140.97568 50
您的代码:
def submit_button(self):
self.name = self.ids.the_name.text
self.time = f'{self.ids.time_spinner_1.text}:{self.ids.time_spinner_2.text}'
self.date = f'{self.ids.date_spinner_1.text}/{self.ids.date_spinner_2.text}'
更改name
secondwindow
屏幕
的属性,因此尝试将屏幕
更改为第二
将不再起作用。看来您正在尝试将名称
用于其他目的。我建议您使用带有不同名称的变量。
如果您可以使用用于过滤的LIDAR数据,则可以使用 nofollow noreferrer“> laserscanangularboundsfilter
或手机
: href =“ http://docs.ros.org/en/melodic/api/sensor_msgs/html/mmsg/mmsg/laserscan.html” rel =“ nofollow noreferrer”> laserscan. /code>和data.angle_min
似乎不丢弃测量。那必须手动完成。
例如,为了保持简单,您的LIDAR从0到360度(Angle_min = 0,Angle_max = 2*pi)以1度增量进行扫描,并且您希望将其限制为[90 .. 270度]范围。从float32 []范围
数组的开始和结束时,您将不需要使用25%的时间
for range(90, 270+1):
# Do your data.ranges[i] calculations here with limited angle range
来概括您要实现将学位转换为data.ranges [] index的函数。如果我们假设Angle_max = 2*pi and angle_min = 0,那将是这样(伪代码):
ind_start = int(len(data.ranges) * (your_angle_min / (2 * pi)))
ind_end = int(len(data.ranges) * (your_angle_max / (2 * pi)))
for range(ind_start, ind_end):
# data.ranges[i] is filtered to contain ranges from angles [your_angle_min .. your_angle_max]
您快到了,只是在扩展您的想法。
我在以下示例中有硬编码的结束日期,但是可以根据要求更改。
日期CTE只是在所需范围内建立日期。
在下一个子查询(T1)中,还有另外两个列 - 最大日期和列S_SHARES的列MD,以根据购买(添加)(添加)或减去出售的股票运行总和。
然后,我们从日期最大日期(列MD)和原始日期之间的两个集合值中选择。
WITH RECURSIVE dates(date1) AS (
select date('2022-02-01')
UNION ALL
SELECT date(date1, '+1 day')
FROM dates
WHERE date1 < date('2022-02-10')
) select d.date1,depot,ticker, s_shares
from dates d,
(select date1,
case
coalesce(lead(date1) over (partition by depot, ticker order by date1),0)
when 0 then date('2022-02-10', '+1 day')
else lead(date1) over (partition by depot, ticker order by date1)
end md,
depot, ticker, buyorsell,
sum(case when buyorsell = 'SELL' then -(Shares) else Shares end)
over (partition by depot, ticker order by Date1 ROWS UNBOUNDED PRECEDING) s_shares
from tic) t1
where d.date1< t1.md
and d.date1>= t1.date1
order by depot, ticker, d.date1;
请参阅小提琴
设法自己解决。只需访问文件目录所述错误,并用其中的随机数和字母删除文件夹即可。重新运行程序,它将正确生成所需的文件。
关于您的错误,它说dreversheetapp.spreadsheetid()
不是一个函数,因为它实际上不存在。您正在寻找 expraineSheetapp.openbyid() 。
关于您的问题,当函数以这种方式定义时不会调用它们。您的呼叫发生在exportsheet();
定义函数后。
基本R解决方案可以是创建自定义功能并将其应用于每个组,即使
MyFunction <- function(x){
month_begin = length(x)
paid_off = sum(x == 'C')
num_of_pastdues = sum(x %in% 0:5)
no_loan = sum(x == 'X')
target = ifelse(any(x %in% 2:5), 1, 0)
return(c(month_begin=month_begin, paid_off=paid_off, num_of_pastdues=num_of_pastdues, no_loan=no_loan, target=target))
}
res <- t(sapply(split(df$status, df$id), MyFunction))
month_begin paid_off num_of_pastdues no_loan target
# 5008804 16 13 2 1 0
# 5008805 15 12 2 1 0
其成为具有列ID的数据框架,然后
res_df <- data.frame(res)
res_df$id <- rownames(res_df)
rownames(res_df) <- NULL
res_df
#month_begin paid_off num_of_pastdues no_loan target id
#1 16 13 2 1 0 5008804
#2 15 12 2 1 0 5008805
您可以使用此公式
= ifError(index($ c $ 2:$ d $ 6,$ b $ 2:$ b $ 6 = $ b10),c $ 8,匹配(c $ 9,$ c $ 1:$ d $ d $ 1,0) ),““)
或者
= ifError(index($ c $ 2:$ d $ 6,$ b $ 2:$ b $ 6 = $ b17),value(权利(c $ 15,1)),匹配(c $ 16,$ c $ 1:$ d $ 1 $ 1 ,0)),“”)
表是恕我直言,实际上是静态的,我会尝试的:
import requests
from bs4 import BeautifulSoup
import pandas as pd
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:101.0) Gecko/20100101 Firefox/101.0",
}
soup = (
BeautifulSoup(
requests.get(
"https://ciffc.net/en/ciffc/ext/member/sitrep/",
headers=headers,
).text,
"lxml",
).find("div", {"data-title": "E: Preparedness Levels"})
)
df = pd.read_html(str(soup), flavor="lxml")[0]
print(df)
这应该一致输出:
Agency APL Comments
0 BC 1 NaN
1 YT 3 Yukon is at a level 3 prep level - but will tr...
2 AB 2 NaN
3 SK 1 NaN
4 MB 1 NaN
5 ON 1 NaN
6 QC 1 NaN
7 NL 2 NaN
8 NB 1 NaN
9 NS 1 NaN
10 PE 1 NaN
11 PC 1 NaN
好的,我明白了:
我很难找到需要导入的库的路径(@io_abseil_py // absl/testing:absltest
)。
这是已
py_binary(
testonly = 1,
name="testing_example",
deps = [
"@io_abseil_py//absl:app",
"@io_abseil_py//absl/testing:absltest",
],
srcs = ["testing_example.py"],
)
解决的更新构建。输出:
$ bazel run //example_py:testing_example
(...)
INFO: Analyzed target //example_py:testing_example (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
Target //example_py:testing_example up-to-date:
bazel-bin/example_py/testing_example
INFO: Elapsed time: 0.236s, Critical Path: 0.01s
INFO: 1 process: 1 internal.
INFO: Build completed successfully, 1 total action
INFO: Build completed successfully, 1 total action
Running tests under Python 3.9.7: /Users/maion/opt/anaconda3/bin/python3
[ RUN ] TestStringMethods.test_isupper
[ OK ] TestStringMethods.test_isupper
[ RUN ] TestStringMethods.test_split
[ OK ] TestStringMethods.test_split
[ RUN ] TestStringMethods.test_upper
[ OK ] TestStringMethods.test_upper
----------------------------------------------------------------------
Ran 3 tests in 0.000s
OK
问题在于某些形式的命名惯例。例如。
<input name = 'name' ngModel name='itemName'>
在这里,我认为“ ngmodel名称”将是{对象对象}的键,而是“名称”是键。
我自己找到了答案。似乎如果您删除行templates_path = ['_templates']
它有效:
# -- Project information -----------------------------------------------------
project = 'mytest'
copyright = '2022, Me'
author = 'Me'
release = '0.1.0'
# -- General configuration ---------------------------------------------------
extensions = [
'sphinx_book_theme'
]
# templates_path = ['_templates'] # REMOVE THIS LINE TO WORK
language = 'python'
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# -- Options for HTML output -------------------------------------------------
html_theme = 'sphinx_book_theme'
html_static_path = ['_static']
如果您在>“模板”中有某些内容
,我怀疑您需要创建sidebar -logo.html
在这里。不确定如何。
不需要字节。 Java很好地处理文字。
使用
字符串#split
制作零件的数组。制作一系列字符串零件的流。
使用
对象使用
流#映射
将每个字符串
零件分为integer
对象,以制造新对象的另一个流。将这些新的
整数
对象收集到未约化的list
中。请参阅此 code在indeone.com 中实时运行。
No need for bytes. Java handles text well.
Use
String#split
to make an array of the parts.Make a stream of that array of string parts.
Parse each
String
part into aInteger
object usingStream#map
to make another stream of the new objects.Collect these new
Integer
objects into an unmodifiableList
.See this code run live at Ideone.com.
如何将字符串转换为数组/arraylist