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Selenium has the color conversion support class. We have to add the statement from selenium.webdriver.support.color import Color to convert colors to rgba/hex format.Examplefrom selenium import webdriver from selenium.webdriver.support.color import Color #color conversion to rgba format print(Color.from_string('#00fe37').rgba) #color conversion to hex format print(Color.from_string('rgb(1, 200, 5)').hex) #color conversion to rgba format print(Color.from_string('green').rgba)Output
To return a new array when dtype is different from the current dtype, use the ma.MaskedArray.__array__(dtype) method in Python Numpy. We have set the dtype parameter to be float. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and ... Read More
To return the truth value of an array greater than equal to another element-wise, use the numpy.greater_equal() method in Python Numpy. Return value is either True or False. Returns an output array, element-wise comparison of x1 and x2. Typically, of type bool, unless dtype=object is passed. This is a scalar if both x1 and x2 are scalars.The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length ... Read More
To return the truth value of an array greater than another element-wise, use the numpy.greater() method in Python Numpy. Return value is either True or False. Returns an output array, elementwise comparison of x1 and x2. Typically of type bool, unless dtype=object is passed. This is a scalar if both x1 and x2 are scalars.The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to ... Read More
To return the greatest common divisor, use the numpy.gcd() method in Python Numpy. The parameters are arrays of values. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).To return the lowest common multiple, use the numpy.lcm() method in Python Numpy. The greatest common divisor of the absolute value of the inputs This is a scalar if both x1 and x2 are scalars.StepsAt first, import the required library −import numpy as npTo return the greatest common divisor, use the numpy.gcd() method in Python Numpy. The parameters are arrays of values. If ... Read More
To reduce a multi-dimensional array, use the np.ufunc.reduce() method in Python Numpy. Here, we have used add.reduce() to reduce it to the addition of elements. The axis 0 is set using the "axis" parameter.The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written in C (for speed) and linked into Python with NumPy's ufunc facility. A universal function (or ufunc for short) is a function that operates on ndarrays in an element-by-element fashion, supporting array broadcasting, type casting, and several other standard features. That is, a ufunc is a "vectorized" wrapper for a function ... Read More
To reduce a multi-dimensional array, use the np.ufunc.reduce() method in Python Numpy. Here, we have used add.reduce() to reduce it to the addition of elements. The axis is set using the "axis" parameter.A universal function (ufunc) is a function that operates on ndarrays in an element-by-element fashion, supporting array broadcasting, type casting, and several other standard features. That is, a ufunc is a “vectorized” wrapper for a function that takes a fixed number of specific inputs and produces a fixed number of specific outputs. The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written ... Read More
To return the non-negative square-root of an array, element-wise, use the numpy.sqrt() method in Python Numpy.An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan. If out was provided, y is a reference to it. This is a scalar if x is a scalar.The out is a location into which the result is stored. If provided, ... Read More
Rest Assured is used to verify the REST APIs with the help of the Java library. Java library acts like a headless client to act upon the Rest web services. The libraries based on the Rest Assured library are also capable of validating the HTTP responses from the server.Response status code, body, message, headers, and so on can be tested with the Rest Assured library. It can be integrated with build tools like Maven, unit test frameworks like JUnit and TestNG. It has an efficient matching mechanism with which we can verify the expected results.Application Programming Interface or API acts ... Read More
To return the natural logarithm of one plus the input array, element-wise., use the numpy.log1p() method in Python Numpy. It calculates log(1 + x).For complex-valued input, log1p is a complex analytical function that has a branch cut [-inf, -1] and is continuous from above on it. log1p handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.StepsAt first, import the required library −import numpy as npCreate an array using the array() method −arr = np.array([1e-15, 10000, 1e-99]) Display the array −print("Array...", arr)Get the type of the array −print("Our Array type...", arr.dtype) Get the dimensions of ... Read More