based on this idea the following formula can be derived for approximating the integral where h

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5 points Make a nested dictionary from a file The viscosity of gases depends on the temperature T. For some gases the following formula is relevant: MIT) =-.(". where the values of the constants C. To, and Mo are found in a file viscosity.dat. The temperature is measured in Kelvin. Suppose we have already loaded the file into a string viscosity data using the read method. viscosity data contains data (in order as gas, CT 0,mu_0) such as: viscosity data air, 120, 291.15, 18.27 nitrogen, 111,300.55, 17.81 oxygen, 127, 292.25, 29.18 carbon dioxide. 240, 293.15, 14.8 carbon monoxide. 118. 288.15, 17.2 hydrogen, 72.293.85,8.76 ammonia, 370,293.15,9.82 sulphur dioxide, 416,293.65, 12.54 . Convert the data in the string viscosity data into a nested dictionary mu_data such that we can look up C.76, and so for a gas with a name nane by mu data[name][X), where x can be one of 'C'. 'T_O.orm . The numerical values in mu data should all be float s. For instance, the following statements should be True: m_data[ air' ][ C ] = mu_data[ 'hydrogen' 1 'T mu_data[ sulphur dioxide 120.0 '] == 293.85 mu ' ) == 12.54 Hint I would expect a correct answer to contain a for loop. (There may be other ways of doing this but this seems most straightforward to me.) Answe