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5 min readIn Rust, the "=>" symbol is used to denote a closure or an anonymous function. It is used to separate the arguments and return type in a closure definition. This symbol is commonly used in Rust when defining functions that are passed as parameters to other functions or methods. The closure is defined within curly braces and preceded by the "=>" symbol to specify its input arguments and return type.
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4 min readTo plot synchronously with Matplotlib, you can use the plt.ion() function to turn on interactive mode. This will allow you to update your plot in real-time. You can then use the plt.pause() function to pause the plot for a specified amount of time before updating it again. This can be useful for plotting data streams or dynamically changing data. Additionally, you can use the plt.clf() function to clear the current figure before updating it with new data.
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6 min readIn pytest, patching globally means applying a patch to a specific function or object throughout the entire test session. This can be useful when you need to simulate a specific behavior or override a certain functionality for multiple tests.To patch globally in pytest, you can use the pytest.fixture decorator combined with the mocker.patch method from the pytest-mock library. First, you define a fixture that applies the patch to the desired function or object using the mocker.patch method.
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4 min readTo remove duplicates in an array in Rust, you can convert the array to a HashSet, which automatically removes duplicates. Alternatively, you can iterate over the array and keep track of unique elements in a separate data structure. Finally, you can use the iter() and filter() methods to create a new array without duplicates.[rating:c1abfe4e-5b23-47e2-a608-65097a225475]How can I test the effectiveness of my duplicate removal function in Rust.
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6 min readTo create a multicolumn table with Matplotlib, you can use the table function from Matplotlib's matplotlib.pyplot module. This function allows you to create a table with multiple columns by specifying the column widths and the data to be displayed in each cell. You can also customize the appearance of the table by setting various properties such as cell colors, fonts, and borders.
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4 min readTo map atomic values in an array in Rust, you can use the iter() method on the array to create an iterator over its elements. Then, you can use the map() method on the iterator to transform each element using a closure. This closure takes the current element as an argument and returns the transformed value.For example, suppose you have an array arr of integers and you want to double each element.
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6 min readIn pytest, you can use override parameters of a fixture by using the request fixture and accessing the param attribute. This allows you to dynamically change the parameters of a fixture when it is called in a test function. By using this feature, you can customize the behavior of a fixture based on the specific test case that is being run. This can be useful for scenarios where you need to override certain default values or configurations of a fixture for a specific test case.
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4 min readTo create a multi-column text annotation in matplotlib, you can use the plt.text() function and format the text using newline characters (\n) to separate the content into different columns. For example, you can pass a string with multiple lines of text to the plt.text() function and use \n to create column breaks. Additionally, you can adjust the x and y parameters to position the annotation where you want it to appear in your plot.
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5 min readTo make a HashSet of enum values in Rust, you first need to define the enum type with the variants you want to store in the set. Then, you can use the std::collections::HashSet type to create a HashSet and add enum values to it using the insert method. For example: use std::collections::HashSet; #[derive(Debug, PartialEq, Eq, Hash)] enum Color { Red, Green, Blue, } fn main() { let mut colors = HashSet::new(); colors.insert(Color::Red); colors.
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4 min readIn pytest, you can run only unmarked tests by using the "-m" option along with the "not" keyword. This allows you to select tests based on markers that have not been applied to them. For example, you can run only unmarked tests by using the command "pytest -m 'not marked_test'". This will execute all tests that do not have the "marked_test" marker assigned to them.
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2 min readTo install matplotlib using pip, you can use the following command:pip install matplotlibThis command will download and install the matplotlib library on your system, allowing you to use it in your Python projects. Make sure you have pip installed on your system before running this command.Once the installation is complete, you can import matplotlib in your Python script and start using its plotting capabilities to create visualizations and graphs.