integer

Is there a way to convert number words to Integers?

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The majority of this code is to set up the numwords dict, which is only done on the first call. def text2int(textnum, numwords={}): if not numwords: units = [ “zero”, “one”, “two”, “three”, “four”, “five”, “six”, “seven”, “eight”, “nine”, “ten”, “eleven”, “twelve”, “thirteen”, “fourteen”, “fifteen”, “sixteen”, “seventeen”, “eighteen”, “nineteen”, ] tens = [“”, “”, “twenty”, … Read more

Large Numbers in Java

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You can use the BigInteger class for integers and BigDecimal for numbers with decimal digits. Both classes are defined in java.math package. Example: BigInteger reallyBig = new BigInteger(“1234567890123456890”); BigInteger notSoBig = new BigInteger(“2743561234”); reallyBig = reallyBig.add(notSoBig);

PostgreSQL: ERROR: operator does not exist: integer = character varying

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I think it is telling you exactly what is wrong. You cannot compare an integer with a varchar. PostgreSQL is strict and does not do any magic typecasting for you. I’m guessing SQLServer does typecasting automagically (which is a bad thing). If you want to compare these two different beasts, you will have to cast … Read more

Pandas: create new column in df with random integers from range

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One solution is to use numpy.random.randint: import numpy as np df1[‘randNumCol’] = np.random.randint(1, 6, df1.shape[0]) Or if the numbers are non-consecutive (albeit slower), you can use this: df1[‘randNumCol’] = np.random.choice([1, 9, 20], df1.shape[0]) In order to make the results reproducible you can set the seed with numpy.random.seed (e.g. np.random.seed(42))

Efficient unsigned-to-signed cast avoiding implementation-defined behavior

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Expanding on user71404’s answer: int f(unsigned x) { if (x <= INT_MAX) return static_cast<int>(x); if (x >= INT_MIN) return static_cast<int>(x – INT_MIN) + INT_MIN; throw x; // Or whatever else you like } If x >= INT_MIN (keep the promotion rules in mind, INT_MIN gets converted to unsigned), then x – INT_MIN <= INT_MAX, so … Read more