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Role of AI in Supply Chain 10 Use Cases of Generative AI in Supply Chain Opportunities and Challenges with GenAI Integration How can Tx help with Supply Chain Optimization? Summary Among all industries, supply chain management might have been the slowest to adopt artificial intelligence. But in recent years, the fragility of global supply chains … Continue reading “Top 8 Use Cases of Generative AI in the Supply Chain Industry”
The post Top 8 Use Cases of Generative AI in the Supply Chain Industry first appeared on TestingXperts.
Here is the UserContext.js mock data file
// Create a mock UserContext with default userId as null
const UserContext = React.createContext({
userId: null,
setUserId: () => {}, // Mock function for tests
});
// Mock UserProvider to be used in tests
const UserProvider = ({ value, children }) => {
const [userId, setUserId] = useState(value?.userId || null);
// Always use the provided setUserId if available, otherwise use the internal state
const contextValue = {
userId,
setUserId: value?.setUserId || setUserId,
};
return (
<UserContext.Provider value={contextValue}>
{children}
</UserContext.Provider>
);
};
export { UserContext, UserProvider };“`
So does the below go above or in the describes if above do I pass the renderComponentWithUserContext to the describe condition as a parameter and each test that uses it? Apologies for the troll, I’ve just been at this jest failure for days.
“`const renderComponentWithUserContext = (userId = null) => {
console.log(‘Rendering JobDescriptionNavigationMenu with userId:’, userId); // Log userId
return render(
<UserProvider>
<JobDescriptionNavigationMenu />
</UserProvider>
);
};“`
I was trying to launch the login page of orangeHRM through python selenium webdriver but i was getting the error “TimeoutException”, i tried to solve the error using the “WebDriverWait”, but it is unable to resolve the error.
i use following code to launch the login page of OrangeHRm demo website
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Chrome()
driver.maximize_window()
driver.get(“https://opensource-demo.orangehrmlive.com”)
wait = WebDriverWait(driver, 30)
username = wait.until(EC.visibility_of_element_located((By.NAME, “username”)))
username.send_keys(“Admin”)
password = wait.until(EC.visibility_of_element_located((By.XPATH, “//input[@placeholder=’Password’]”)))
password.send_keys(“admin123″)
login_button = wait.until(EC.element_to_be_clickable((By.XPATH,”//input[@type=’submit’]”)))
login_button.click()
I’m getting following error
test_loginPage.py:None (test_loginPage.py)
test_loginPage.py:48: in <module>
login_button = wait.until(EC.element_to_be_clickable((By.XPATH, “//input[@type=’submit’]”)))
C:UsersshyamAppDataLocalProgramsPythonPython37libsite-packagesseleniumwebdriversupportwait.py:95: in until
raise TimeoutException(message, screen, stacktrace)
E selenium.common.exceptions.TimeoutException: Message:
E Stacktrace:
E GetHandleVerifier [0x00007FF7A0169632+30946]
AI-Powered Accessibility Testing 5 Benefits of Leveraging AI in Accessibility Testing Top 5 Best Practices for AI-Powered Accessibility Testing How can Tx assist with AI-Powered Accessibility Testing? Summary Businesses have a moral duty to make their apps and websites accessible to everyone, including users with disabilities. However, to deliver an accessible experience, they must know … Continue reading “AI-Powered Accessibility Testing: Benefits, and Best Practices”
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The generative AI era introduces immense opportunities and significant challenges in data governance. Effective data governance is essential to maintain data quality, security, and compliance with regulations like GDPR and CCPA. As organizations increasingly adopt GenAI models, a comprehensive data strategy is crucial. The blog discusses how Generative AI enhances governance by automating key tasks, improving data management, and supporting adaptive governance. This approach ensures that AI projects are innovative, secure, compliant, and well-managed, paving the way for successful AI implementation.
The post Implementing Data Governance in the Age of Generative AI first appeared on TestingXperts.
when trying to submit this information it gives an error message in the second image and i don’t know what’s wrong
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