Zach Deane-Mayer zachmayer

cli for claude code

A personal command-line tool. It connects the Google Workspace CLI to one Google account — the developer's own — so he can read and manage his own Gmail, Calendar, Drive, Docs, Sheets, Slides, and Tasks from a terminal.

It is not a product or a service. Nobody else is meant to use it.

Privacy policy

Who uses it: only the developer, on his own Google account.
What it accesses: the Google Workspace data of the account that signs in, limited to the scopes shown on the consent screen.

	#!/usr/bin/env python
	# /// script
	# requires-python = ">=3.9"
	# dependencies = [
	# "click>=8.1.0",
	# "diffusers>=0.28.0",
	# "transformers>=4.36.0",
	# "torch>=2.1.0",
	# "pillow>=10.0.0",
	# "accelerate>=0.24.0",

	# Copyright 2024 AI INSIGHT SOLUTIONS INC.

	import timeit
	from pathlib import Path

	import numpy as np
	import onnx
	import onnxruntime as rt
	import torch
	from onnxruntime.quantization import QuantType, quantize_dynamic

	def dot_product(x, kernel):
	"""
	Wrapper for dot product operation, in order to be compatible with both
	Theano and Tensorflow
	Args:
	x (): input
	kernel (): weights
	Returns:
	"""
	if K.backend() == 'tensorflow':

	#Define the problem
	t1 <- Sys.time()
	set.seed(1)
	n_nodes <- 300000L
	n_edges <- 900000L
	nodes <- 1L:n_nodes
	edge_node_1 <- sample(nodes, n_edges, replace=TRUE)
	edge_node_2 <- sample(nodes, n_edges, replace=TRUE)

	#Sparse matrix

	#Option 1 - install openblas with homebrew and link to CRAN installed R
	brew tap homebrew/science
	brew install openblas
	ln -sf /usr/local/Cellar/openblas/0.2.12/lib/libopenblas.dylib /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib

	#Option 2 - install r with openblas through homebrew
	brew tap homebrew/science
	brew install r --with-openblas

	cd /Library/Frameworks/R.framework/Resources/lib

	# for vecLib use
	ln -sf libRblas.vecLib.dylib libRblas.dylib

	# for R reference BLAS use
	ln -sf libRblas.0.dylib libRblas.dylib


	multiRF <- function(X, Y, mtry_vector,...) {

	stopifnot(require(doRNG))
	stopifnot(require(randomForest))

	stopifnot(is.numeric(mtry_vector))
	stopifnot(all(mtry_vector>1))

	foreach(i=mtry_vector,.combine=randomForest::combine,.packages='randomForest',.export=c('X','Y'),.inorder=FALSE) %dorng% {

	#Setup
	rm(list = ls(all = TRUE))
	gc(reset=TRUE)
	set.seed(1234) #From random.org

	#Libraries
	library(caret)
	library(devtools)
	install_github('caretEnsemble', 'zachmayer') #Install zach's caretEnsemble package
	library(caretEnsemble)

	program hello
	print *, "Hello World!"
	end program hello