dkatz23238

dkatz23238

SET standard_conforming_strings = OFF;
DROP TABLE IF EXISTS "public"."california_counties" CASCADE;
DELETE FROM geometry_columns WHERE f_table_name = 'california_counties' AND f_table_schema = 'public';
BEGIN;
CREATE TABLE "public"."california_counties" ( "ogc_fid" SERIAL, CONSTRAINT "california_counties_pk" PRIMARY KEY ("ogc_fid") );
SELECT AddGeometryColumn('public','california_counties','wkb_geometry',4326,'MULTIPOLYGON',2);
CREATE INDEX "california_counties_wkb_geometry_geom_idx" ON "public"."california_counties" USING GIST ("wkb_geometry");
COMMENT ON TABLE "public"."california_counties" IS NULL;
ALTER TABLE "public"."california_counties" ADD COLUMN "county_nam" VARCHAR(40);
ALTER TABLE "public"."california_counties" ADD COLUMN "county_abb" VARCHAR(3);

dkatz23238

import numpy as np


# ROD, PB, PE, DivP, netIncomeTTM, ROA
px_0 = np.array([40, 40, 40, 40, 40, 40])
px_1 = np.array([-49.54, -37.51, -16.38, 3.82, 27.54, 71.29])

pc_0 = 0.01
pc_1 = -0.02

dkatz23238

import requests

# Load the image
img = open("image.png", "rb")

# Send image to the /predict endpoint
response = requests.post(
    "http://localhost:8001/predict",
    files={
        "document_image": img

dkatz23238

import numpy as np
import matplotlib
from matplotlib.axes import Axes
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
import numpy as np
matplotlib.rcParams.update({'font.size': 48})

sqrt2pi = np.sqrt(2*np.pi)

dkatz23238

# dc direct costs - usd/ha
# ps price soy - usd/tn
# qr cost of land in quintals of soy - qq/ha
# ya yield of the activity - qq/ha
# pa price of the activity if activity not soy - usd/tn
# td direction costs - percent
# fs fixed sharecropping - percent
# import numpy as np
# import matplotlib.pyplot as plt

dkatz23238

n = 10
q = 2

potential_solutions = sum([comb(n, i) * (2 ** (q * i)) for i in range(n + 1)])

dkatz23238

Place Holder

dkatz23238

/*
 * @param {DateRange} index
 */
let invertIndex = (index) => {
  let invIndex = {};

  for (let i = 0; i < index.values.length; i++) {
    invIndex[index.values[i]] = i;
  }
  return invIndex;

dkatz23238

# Run a container
docker run -it python:latest bash
# or
# will start the container using latest CMD or ENTRYPOINT
docker run -it python:latest
# Run dettach mode, if you don't the shell session will be attaced to the containers lifecycle
docker run -it -d python:latest
# Run with env --rm will remove the container upon exit of last proccess.
docker run --rm -it -e TRAINING_SESSION=DOCKER python:latest bash
# Create a directory to map a volume to and use in the container