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System-wide Miniconda Installation and Cache Directory Setup

This guide walks you through the steps to install Miniconda system-wide, configure permissions for shared environments, and set up the cache directory with appropriate ACL and sticky bit permissions.

Step 1: Install Miniconda System-Wide

1. Download Miniconda: Download the appropriate Miniconda installer for your platform from the Miniconda website.

2. Install Miniconda:

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import re

def test_readme():
    """Test the code snippets in the README."""
    
    # Read the README file
    with open("README.md", "r") as f:
        readme = f.read()
    
    # Get the code snippets

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from beartype import beartype
from jaxtyping import Float, jaxtyped

@jaxtyped(typechecker=beartype)
def perceptron(x: Float[Tensor, "n d"], 
               w: Float[Tensor, "d 1"], 
               b: Float[Tensor, "1"]) -> Float[Tensor, "n 1"]:
    out = x @ w + b
    return out
    

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##########################################
## PyTorch
##########################################

import numpy as np

import torch
import torch.nn as nn
import torch.nn.functional as F

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import jax.random as jr
import jax.numpy as jnp

from tinygp import GaussianProcess, kernels
import matplotlib.pyplot as plt

seed = jr.PRNGKey(12)

X = jnp.linspace(-5, 5, 100).reshape(-1, 1)

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• $\boldsymbol{a}^T I\boldsymbol{a} = \boldsymbol{a}^T\boldsymbol{a}$

• $(ABCD...)^{-1} = ...D^{-1}C^{-1}B^{-1}A^{-1}$