Posts - Page 106 (page 106)
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7 min readIn Rust, you can run async tasks in several threads by utilizing the tokio library. First, import the necessary dependencies in your Cargo.toml file. Next, create an async task using the async keyword and tokio::spawn function. This will create a separate thread to execute the task concurrently. You can also use tokio::task::spawn_blocking to run a blocking task in a separate thread.
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3 min readTo draw a circle without fill in Matplotlib, you can use the "circle" method from the "patches" module.First, import the necessary modules: import matplotlib.pyplot as plt import matplotlib.patches as patches Then, create a figure and axis object: fig, ax = plt.subplots() Next, create a circle patch with the desired radius and center coordinates: circle = patches.Circle((0.5, 0.5), radius=0.3, fill=False) Add the circle patch to the axis object: ax.
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6 min readIn pytest, you can pass arguments to your test functions by using the command line. To do this, you can use the -k option followed by the expression that matches the test functions you want to run. For example, to run test functions that contain the word "login" in their names, you can use the command pytest -k "login".You can also pass custom arguments to your test functions by using the -m option followed by a marker expression.
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4 min readTo sort an immutable slice in Rust, you can use the sort method provided by the standard library. This method takes a comparison function as an argument, which determines the ordering of the elements in the slice.To use the sort method on an immutable slice, you can create a mutable copy of the slice using the to_vec method, sort the copy, and then convert it back to an immutable slice using the as_slice method.
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4 min readTo check if a subplot is empty in matplotlib, you can use the subplots function to create the subplots and then iterate through each of them to determine if there is any data plotted in them. One way to do this is to check if the axes object of the subplot contains any artists (such as lines, patches, etc.) by using the get_children method. If the length of the children list is zero, then the subplot is considered empty.
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3 min readPytest finds files to test by searching for files with names that match the pattern specified in the pytest command. By default, pytest looks for files with names starting with "test_" or ending with "_test". However, this pattern can be customized by using command line options or configuration files. Pytest can also recursively search directories for test files, allowing for a flexible and scalable approach to organizing test code.
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5 min readTo change the direction of a pie diagram in Python matplotlib, you can pass the startangle parameter to the pie function. By specifying a different start angle, you can rotate the pie chart to change its direction. Typically, the startangle is set to 0 degrees, which starts the first slice at the 12 o'clock position. You can experiment with different start angles to achieve the desired direction for your pie chart.
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3 min readTo use a coroutine as a pytest fixture, you can define the coroutine function using the pytest.fixture decorator. This allows you to use the fixture in the same way you would with a regular fixture function. You can then yield the coroutine inside the test function where you want to use the fixture. This ensures that the coroutine is executed and awaited before the test function starts running.
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4 min readTo change the tick length of a 3D plot in matplotlib, you can use the ax.tick_params() method with the axis parameter set to 'x', 'y', or 'z' depending on which axis you want to change. You can then set the desired tick length using the length parameter. For example, to change the tick length of the x-axis in a 3D plot, you can use ax.tick_params(axis='x', length=5) to set the tick length to 5.
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5 min readTo create a stacked bar chart in matplotlib, you can use the bar function multiple times to plot each set of bars on top of the previous one. Make sure to set the bottom parameter to specify the starting position of each set of bars, and set the label parameter to create a legend for the chart. Additionally, you can customize the colors of each set of bars by specifying a color parameter in the bar function.
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6 min readIn pytest, you can raise an exception during a test using the pytest.raises context manager. This allows you to check if a specific exception is raised in your test and handle it accordingly.To raise an exception in a test, you can use the pytest.fail() function provided by pytest. This function can be called with an optional message argument to provide more information about the failure.You can also use the raise statement in your test function to manually raise an exception.
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5 min readTo plot a table using matplotlib in Python, you first need to import the necessary libraries by typing:import matplotlib.pyplot as plt.Then, create a figure and axis object using:fig, ax = plt.subplots()Next, you can use the ax.table() method to create a table with the data you want to display. The table method takes in parameters like cellText, rowLabels, colLabels, etc., to customize the appearance of the table.