tommylees112

conda create -n ml python=3.8
source activate ml
conda install pytorch torchvision torchaudio cudatoolkit=11.2 -c pytorch -c nvidia --yes
conda install -c conda-forge seaborn=0.11 --yes
conda install -c conda-forge netcdf4 numba tqdm jupyterlab tensorboard ipython pip ruamel.yaml xarray descartes statsmodels scikit-learn black mypy --yes
pip install geopandas

ipython --pdb -c "import torch; assert torch.cuda.is_available(); print(torch.backends.cudnn.version()); print(torch.cuda.device_count());"

tommylees112

# python=3.8
conda create -n ml --yes 
conda activate ml
conda install pytorch torchvision cudatoolkit -c pytorch --yes
# conda install -c conda-forge seaborn=0.11 --yes3 
# conda install -c conda-forge jupyterlab=3.0.16 --yes
conda install -c conda-forge jupyterlab seaborn --yes
conda install -c conda-forge netcdf4 numba tqdm tensorboard ipython pip ruamel.yaml xarray descartes statsmodels scikit-learn black mypy eofs xskillscore cdsapi cftime seaborn gcsfs zarr loguru google-cloud-bigquery --yes
conda install -c conda-forge cartopy pyflwdir --yes
conda install -c conda-forge pytest pytest-cov --yes

tommylees112

import xarray as xr
import matplotlib.pyplot as plt 
import seaborn as sns 
from pathlib import Path 

data_dir = Path("C:\\Users\\anton\\Downloads")
preds = xr.open_dataset(data_dir / "preds.nc")

f, ax = plt.subplots(figsize=(12, 4))
preds.isel(pixel=0).sel(time="2007").obs.plot(ax=ax, color="k")

tommylees112

conda create -n ml --yes python=3.7
conda activate ml
conda install tensorflow -c anaconda --yes
conda install pytorch torchvision -c pytorch --yes
conda install -c conda-forge seaborn=0.11 --yes
conda install -c conda-forge netcdf4 numba tqdm jupyterlab tensorboard ipython pip ruamel.yaml xarray descartes statsmodels scikit-learn black mypy --yes
conda install -c anaconda spyder

python -c "import torch; import xarray"

tommylees112

package main

import (
	"fmt"
	"golang.org/x/tour/wc"
	"strings"
)

func WordCount(s string) map[string]int {
	// create a slice of strings with each of the inputs

tommylees112

package main

import "golang.org/x/tour/pic"

func Formula(x int, y int) uint8 {
	// return uint8((x + y) / 2)
	return uint8(x * y)
	// return uint8(x ^ y)
}

tommylees112

package main

import (
	"fmt"
	"time"
)

func main() {
	today := time.Now().Weekday()
	fmt.Printf("Today is: %v\n", today)

tommylees112

package main

import (
	"fmt"
)

const INITIAL_Z = 1
const DELTA = 1e-7

tommylees112

"""[summary]
My Question Described: 
https://stackoverflow.com/questions/67004787/pulp-linear-programming-scheduling-optimisation-constraint-on-consecutive-nigh
https://or.stackexchange.com/questions/6070/pulp-scheduling-optimisation-constraint-on-consecutive-shifts-consecutive-ni

Minimise:
The maximum difference in the numbers of shifts per person...?
The cost function defined by hand-coded weights in a data table...?

Objective Function

tommylees112

import xarray as xr 
from pathlib import Path 


if __name__ == "__main__":
    data_dir = Path("/Users/tommylees/github/spatio_temporal/data")
    # list(data_dir.glob("*.nc"))
    ds = xr.open_dataset(data_dir / "camels_static.nc")
    df = ds.to_dataframe()