mpmath | Python library for arbitrary-precision floating

I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.

• I first tested the app by running python setup.py py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
• Now when I try to build it non-locally by running the command python setup.py py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.
  
  How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
  *I Left out a lot of the "skipping" and "warning" lines using "..." for space

I am going over the description of Sha-512. It is mentioned that the initial hash value consists of the sequence of 64-bit words that are obtained by taking the fractional part of the first eight primes. I am trying to replicate these values in Python, but I am not getting the same results. To include more digits, I am using the mpmath library.

Trying to (re)install Jupyter's nbextension via the following steps in terminal

1. pip install jupyter_contrib_nbextensions
2. jupyter contrib nbextension install --user
3. install --user jupyter nbextension enable varInspector/main

Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.

Step 2 = fails with

Im attempting to recreate a fourier approximation for a python function with a given numerical output (without using external libraries), however my function only works in the range of numbers from 0.0 to 1.0. Ive considered simply multiplying any given input larger than 1.0 to a negative power of ten, and then multiplying by the positive power once the result has been held.

However, as I am limiting myself to not use external libraries (ie something like Decimal or mpmath), I feel as though this solution would not work well given python's limited floating-point precision. I feel as though there's a much less 'hacky' solution to this problem, however I am unable to figure out what such may be.

I am trying to print pi with a specific number of decimal places based on an input. When I enter 99 decimal places, it prints out 99. When I enter 100 decimal places, it only prints out 99. When I enter 101 decimal places it prints out 101. I want to be able to limit it to 100 decimal places. I am new to python and trying to work an exercise. Here is my code:

I want to run the 3 code snippets from this webpage.

I've made all 3 one post, as I am assuming it all stems from the same problem of optimum not having been imported correctly?

Kernel: conda_pytorch_p36

Installations:

I'm trying to solve 5 equations with 5 unknowns.

Good day

I am getting an error while importing my environment:

I would like to know if there exists a python interval arithmetic library with the following features:

If x and y are both intervals, eg: [1.2,2.1], [3.8,9.9], then their sum/product/ratio is an interval, and in particular, any real number in the first interval plus/times/over the a real number in the second interval, will be contained in the resulting interval.

In particular, I would like to know of such a library that does this and accounts for floating point error so that the results can be used in mathematical proofs. I have found some libraries such as this one: https://pythonhosted.org/uncertainties/ that account for error on real numbers, however they don't do so in this stricter sense that I require.

Thanks to TimPeters for suggesting this library:
https://mpmath.org/doc/current/contexts.html#arbitrary-precision-interval-arithmetic-iv

I think this should be the correct tool to use.