您可以在父元素上使用网格解决此问题。我们将两个柱子围起来,一个具有 auto (它将一直缩小),第二个具有 1fr 。在动画中,将价值的宽度从 fit-content 更改为 100%。
body {
display: grid;
grid-template-columns: auto 1fr;
}
.typewriter {
grid-column: 1;
overflow: hidden;
white-space: nowrap;
transition: all 0.3s;
animation: animated-text 2.5s steps(30, end) 1s 1 normal both;
border: 1px solid red;
}
@keyframes animated-text {
from {
width: 0;
}
to {
width: 100%;
}
}
<h1 class="typewriter">Hello Admin</h1>
嘿,我讨论了您失败的交易 https://ropsten.etherscan.io /TX/0X9561B25C1D95D436839D3246D3BBBBBB590D2974BB4BB4FA41A4117A51A75E28553416E
上述表明应该是允许的问题(自有:
您还可以在服务总线上发布延迟消息(事件)。如果您不使用消息总线系统,则可以应用玉米员系统,并在发布事件(如果已发布事件)中进行跟踪。
显然,您的Expelfile包含一个宏,当您打开Excel工作表时试图打开以下文件:
/Library/Application/Application Support/Adobe/MACPDFM/MacPDF.framework/Versions/A/MacPDFM
当不存在此文件时,您会收到上述错误消息。
看到了目录的结构,我相信只能在MAC计算机上打开Expelfile(Microsoft-Computers没有上述目录结构)。
验证您是否正在使用MAC计算机或Windows-Computer处理,并且在MAC中,请检查提到的文件的存在(和读取权限)。
希望这是您要寻找的解决方案。
df=pd.DataFrame({'ID': [1,2],
'User A': ['titi', 'tata'],
'ROLES1': ['Reader', 'Manage'],
'Rights': [['a','b','d'], ['b','f','g']],
'SOME INFO': ['blalbalbla', 'blalbalbla'],
'USER B': ['tutu', 'toto'],
'ROLES2': ['writer', 'reader'],
'RIGHTS': [['c','d','f','a'], ['a','b','d']]})
df['diff'] = df.apply(lambda x: list(set(x['Rights']) - set(x['RIGHTS'])), axis = 1)
print(df)
我想你需要这样的东西。 GIF是图像文件类型,因此您必须保存它才能拥有一个。
#! /usr/bin/env python3
import numpy as np
from PIL import Image
im = []
for n in range(20):
arr = np.random.randint(low = 0, high = 255, size = (300, 300, 3))
im.append(Image.fromarray(arr.astype('uint8')))
im[0].save('im.gif', save_all=True, append_images=im[1:], optimize=False, duration=200, loop=0)
#im[0].show()
然后使用浏览器或一些可以显示动画gif的应用程序打开 im.gif
。
如果您真的不想保存GIF,而只是显示它,您可以做这样的事情
#! /usr/bin/env python3
import base64
import io
import numpy as np
from PIL import Image
from viaduc import Viaduc
im = []
for n in range(20):
arr = np.random.randint(low = 0, high = 255, size = (300, 300, 3))
im.append(Image.fromarray(arr.astype('uint8')))
buffer = io.BytesIO()
im[0].save(buffer, format='GIF', save_all=True, append_images=im[1:], optimize=False, duration=200, loop=0)
buffer.seek(0)
data_uri = base64.b64encode(buffer.read()).decode('ascii')
class Presentation(Viaduc.Presentation):
width = 300
height = 300
title = 'gif'
html = '''
<!DOCTYPE html>
<head>
{{bootstrap_meta}} {{bootstrap_css}}
<title>{{title}}</title>
</head>
<body>
<img src="data:image/gif;base64,''' + data_uri + '''">
{{bootstrap_js}}
</body>
</html>
'''
if __name__ == '__main__':
Viaduc(presentation=Presentation())
将 pandas.series
转换为简单的python列表并摆脱一些额外的材料将解决问题
class PDFsDataset(torch.utils.data.Dataset):
def __init__(self, encodings, labels):
self.encodings = encodings
self.labels = labels
def __getitem__(self, idx):
item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}
item['labels'] = torch.tensor(self.labels[idx])
return item
def __len__(self):
return len(self.labels)
class HFTransformer:
def __init__ (self):
pass
def import_from_json(self):
#Prompts user to select json file
self.json_file_path = '/content/truncated_data.json'
#opens json file and loads data
with open(self.json_file_path, "r") as json_file:
try:
json_load = json.load(json_file)
except:
raise ValueError("No PDFs to convert to JSON")
self.pdfs = json_load
#converts json file data to dataframe for easier manipulation
self.pdfs = pd.DataFrame.from_dict(self.pdfs)
for index in range(len(self.pdfs["new_tags"])):
if self.pdfs["new_tags"][index] == "":
self.pdfs["new_tags"][index] = self.pdfs["most_similar_label"][index]
self.pdfs["labels"] = self.pdfs["new_tags"].apply(lambda val: self.change_tag_to_num(val))
# for label in self.data["labels"]:
def change_tag_to_num(self, value):
if value == "Quantum":
return 0
elif value == "Artificial intelligence":
return 1
elif value == "Materials":
return 2
elif value == "Energy":
return 3
elif value == "Defense":
return 4
elif value == "Satellite":
return 5
elif value == "Other":
return 6
def tokenize_dataset(self):
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
X_train, X_test, y_train, y_test = train_test_split(self.pdfs["text_clean"].to_list(), self.pdfs["labels"].to_list(),test_size=0.2)
train_encodings = tokenizer(X_train, truncation=True, padding=True,max_length=100)
test_encodings = tokenizer(X_test, truncation=True, padding=True,max_length=100)
self.train_dataset = PDFsDataset(train_encodings, y_train)
self.eval_dataset = PDFsDataset(test_encodings,y_test)
def train_transformer(self):
model = AutoModelForSequenceClassification.from_pretrained("bert-base-cased", num_labels=7)
training_args = TrainingArguments(output_dir="test_trainer")
self.metric = load_metric("accuracy")
training_args = TrainingArguments(output_dir="test_trainer", evaluation_strategy="epoch", )
trainer = Trainer(
model=model,
args=training_args,
train_dataset=self.train_dataset,
eval_dataset=self.eval_dataset,
compute_metrics=self.compute_metrics
)
trainer.train()
def compute_metrics(self, eval_pred):
logits, labels = eval_pred
predictions = np.argmax(logits, axis=-1)
return self.metric.compute(predictions=predictions, references=labels)
if __name__ == "__main__":
tr = HFTransformer()
tr.import_from_json()
tr.tokenize_dataset()
tr.train_transformer()
这对我有用,尽管更新您的代码以类似于 docs
try{
cashAppPay.attach('#cash-app-pay', buttonOptions);
} catch (e) {
console.log("Initialize error",e)
//get the exact message and match it to the if statement
//the exact error i got when trying to update the amount before destroying was as per my .match() in the if statement below
console.log(e.message)
const error_msg = e.message
if(error_msg.match('already rendered')){
await cashAppPay.destroy();
await cashAppPay.attach('#cash-app-pay', buttonOptions);
}
}
基本上,您要销毁先前的QR码,并在升级金额值或任何所需选项时附加新的QR码。我只放置了正确的代码,以适合您的代码,如果您使用异步,请根据文档等待。然后,物品的写作和筑巢往往过多
。希望您找到比我的更好的解决方案。
根据“颤音”文档,widgetsbindingobserver类是用于注册小部件层绑定的类的接口。
您可以检查此链接以获取更多信息 nofollow noreferrer“> widegetsbindingobserver class
您的问题是,在 中,mysql是 选择Sleep(5);
,而在 sql中是 等待延迟(5);
这就是为什么它不起作用的原因。
SET GLOBAL max_execution_time = 4;
SELECT SLEEP(5);
从测试您的程序,您在重试的用户/密码条目中的问题是,您不会将计数器“ I”重置为零。因此,您的程序只是不断将输入的字符添加到字符数组的末尾。当我添加一些代码以重新初始化密码字符数组并在代码行中添加以将“ i”的值重置为零,则该验证在重试时可行。
for (int j = 0; j < 100; j++)
{
password[j] = 0; /* This might be overkill, but this ensures that the character array does not have leftover characters */
}
i = 0;
printf("\nPassword: ");
do
{
password[i] = getch();
printf("*");
i++;
}
while(password[i-1] != '\r');
这是进行这些修订后终端输出的样本。
Incorrect Username or Password!
Please enter your username: username
Password: *********
Welcome to the POS!
*Placeholder*
希望能阐明事情。
问候。
在您的表观视图中,将ContentInsetAdjustmentBehavior在Controller中不在
tableView.contentInsetAdjustmentBehavior = .never
控制器中,再次更新导航栏UI
override func viewWillAppear(_ animated: Bool) {
super.viewWillAppear(animated)
DispatchQueue.main.async { [weak self] in
self?.navigationController?.navigationBar.sizeToFit()
}
}
,这是导航控制器
class BaseNavigationController: UINavigationController {
override func viewDidLoad() {
super.viewDidLoad()
if #available(iOS 15.0, *) {
let scrollAppearance = UINavigationBarAppearance()
scrollAppearance.shadowColor = .white
scrollAppearance.backgroundColor = .white
let navigationBarAppearance = UINavigationBarAppearance()
navigationBarAppearance.configureWithDefaultBackground()
navigationBarAppearance.backgroundColor = .white
navigationBarAppearance.largeTitleTextAttributes = [
NSAttributedString.Key.font: UIFont.systemFont(ofSize: 26),
NSAttributedString.Key.foregroundColor: UIColor.black
]
navigationBarAppearance.titleTextAttributes = [
NSAttributedString.Key.font: UIFont.systemFont(ofSize: 17),
NSAttributedString.Key.foregroundColor: UIColor.black
]
UINavigationBar.appearance().backIndicatorImage = UIImage(named: "back-arrow")
UINavigationBar.appearance().standardAppearance = navigationBarAppearance
UINavigationBar.appearance().compactAppearance = navigationBarAppearance
UINavigationBar.appearance().scrollEdgeAppearance = scrollAppearance
navigationBar.tintColor = .black
navigationBar.prefersLargeTitles = true
navigationBar.isTranslucent = false
navigationItem.largeTitleDisplayMode = .automatic
} else {
navigationBar.largeTitleTextAttributes = [
NSAttributedString.Key.font: UIFont.systemFont(ofSize: 26),
NSAttributedString.Key.foregroundColor: UIColor.black
]
navigationBar.titleTextAttributes = [
NSAttributedString.Key.font: UIFont.systemFont(ofSize: 17),
NSAttributedString.Key.foregroundColor: UIColor.black
]
navigationBar.tintColor = .black
navigationBar.prefersLargeTitles = true
navigationBar.isTranslucent = false
navigationItem.largeTitleDisplayMode = .automatic
navigationBar.barTintColor = .white
}
}
override var preferredStatusBarStyle: UIStatusBarStyle {
return .darkContent
}
}
,这是Tabbar Controller
class TabbarController:UITabBarController {
override func viewDidLoad() {
super.viewDidLoad()
let c1 = C1()
let c2 = C2()
let c3 = C3()
c1.tabBarItem = UITabBarItem(title: "Home", image: UIImage(named: "home786"), tag: 0)
c1.tabBarItem.tag = 0
let nav1 = BaseNavigationController(rootViewController: c1)
c2.tabBarItem = UITabBarItem(title: "Setting", image: UIImage(named: "home786"), tag: 0)
c2.tabBarItem.tag = 1
let nav2 = BaseNavigationController(rootViewController: c2)
c2.tabBarItem = UITabBarItem(title: "User", image: UIImage(named: "home786"), tag: 0)
c2.tabBarItem.tag = 2
let nav3 = BaseNavigationController(rootViewController: c3)
viewControllers = [nav1,nav2,nav3]
selectedViewController = nav1
tabBarController?.viewControllers?.first?.view.backgroundColor = .red
}
}
如果您只想在迭代顺序中的第一个元素,无论发生什么事,
first = next(iter(obj))
请提高 stopiteration
如果 obj
是空的,否则它将获得您的第一个项目从 obj
迭代。至少很便宜;在 o(1)
时间内运行,因此即使 obj
中有100万个项目,它也会快速运行(其中 list(obj)[0] < /代码>对于越来越长的
obj
)。
需要清楚, set
s具有任意顺序;即使您第一次运行此代码,也会产生'execute'
,也无法保证 set
具有相同的内容,以不同的顺序构造或>
SET
在程序的不同运行中以相同的方式构造,将以相同的顺序迭代。 next(iter(obj))
正在为您提供有效的任意元素,除了在此 set set set set 元素>以这种特定的方式构建,在程序的这种特定运行中。
httpresponse.redirecttoroute方法通过使用路由参数值,路由名称或两者都将请求重定向到新URL,这意味着您无法继续使用最后一个url
httpresponse.redirecttoroute方法,
但是您可以从其他动作结果中返回值,
var result = await controller.GetTodosAsync();
以便您可以使用类似的结果。这 :
[HttpGet(Name = "Profile")]
public async Task<string> GetProfile(string username)
{
return await Task.Run(()=> "hello") ;
}
[HttpPost(Name = "Profile")]
public async Task<string> PostProfile(string username)
{
string result = await this.GetProfile(username);
result = result + " from post";
return await Task.Run(() => result);
}
在前面,我认为您只能做
摘要(CARS $ speed)
以获取想要的东西。如果您想要多个列,而
speed
只是一个示例,请尝试以下操作:但是,还有其他一些事情正在进行。
摘要矩阵的列名被缓冲/填充,因此名称似乎以统计数据为中心。这纯粹是美学,但它们确实使捕获有点不可预测(嗯,不容易)。
它是
矩阵
,因此您不能在其上使用$
indexing。相反,人们需要使用[,“ speed”]
或其他。hrrmmm,它是一个矩阵,但它是 strings 的矩阵,如上所述:
虽然一个 肯定可以使用一些模式或这样提取这些数字,但将 是精确/准确性的丧失。
Up front, I think you can do just
summary(cars$speed)
to get what you want.If you will want this for multiple columns, and
speed
is just one example, then try this:However, there are some other things going on.
The column names of the summary matrix are buffered/padded so that the names appear to be centered over the stats. This is purely aesthetic, but they do make it a little unpredictable (well, not-easy) to capture.
It's a
matrix
, so you cannot use$
-indexing on it. One would instead need to use[,"speed"]
or whatever.Hrrmmm, it's a matrix, but it's a matrix of strings, as you can see above and here:
While one could certainly use some patterns or such to extract those numbers, there will be loss of precision/accuracy.
如何仅访问摘要()输出的特定柱面?