TensorFlow_1/script.js at main · Supravisor/TensorFlow_1 · GitHub

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// Create Tensor
let variable = document.getElementById("variable");
let value = document.getElementById("value");
let datatype = document.editor.datatype;
let rank = document.getElementById("rank");

const tensor = stat => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'variable' field, in the 'Create Tensor' section.");
  } else if (value.value === "") {
    return alert("Please enter a comma separated list of integers, floats, or Booleans in the 'value' field, in the 'Create Tensor' section.");
  } else {
      let keepOne = "";
      let keepTwo = "";
      let degree = Math.floor(rank.value);
      let array = [];
      let string = value.value;
      let bracket = 0;

      if (value.value.includes(",")) {
        let trim = value.value.split(/\s*,\s*/);
        array = trim.map(el => el.trim());

        if (degree > 1) {
          let average = array.length / degree;

          if (parseInt(average) - average !== 0) {
            return alert("Please enter more values in the 'value' field for the selected 'rank' in the 'Create Tensor' section.");
          }

          let nest = [];

          if (average > 0) {
            let counter = 0;

            while (counter < array.length) {
              let string = array.slice(counter, average + counter);
                if (datatype.value === "string") {
                  let join = string.slice();
                  nest += join.join(",").replaceAll(/\s*,\s*/g, '", "') + '"], ["';
                } else {
                    let join = string.slice();
                    nest += join.join(",").replaceAll(/\s*,\s*/g, ', ')  + '], [';
                }
                counter += average
            }

            if (datatype.value === "string") {
              string = nest.slice(0, -5).replace(/\s*,\s*/, ", ");
            } else {
                string = nest.slice(0, -4).replace(/\s*,\s*/, ", ");
            }
          } else {
              return alert("Please enter more values in the 'value' field for the selected 'rank' in the 'Create Tensor' section.");
          }
        }
      }

      if (datatype.value === "string") {
        if (array.length === 0) {
          keepTwo = '"';
        }

        keepOne = '"';

      } else if (datatype.value === "float64" || datatype.value === "int32" || datatype.value === "int16") {
          if (Number(value.value) >= 0) {
          } else if (array.length > 0) {
              if (array.every(el => Number(el))) {
              } else {
                  return alert("Please enter a number for the 'value' field in the 'Create Tensor' section.");
              }
          }
      }

      document.editor.textbox.value+= '\n' + variable.value + ' = tf.' + stat + '(' + '['.repeat(degree) + keepOne + string + keepTwo + ']'.repeat(degree) + ', dtype=tf.' + datatype.value + ')';
  }
}

// Data at a glance
const data = (stat) => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section.");
  } else {
      document.editor.textbox.value+= '\ntf.' + stat.slice(0, -2) + '(' + document.editor.variable.value + ')';
  }
}

const shape = (stat) => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section.");
  } else {
      document.editor.textbox.value+= '\n' + document.editor.variable.value  + '.' + stat;
  }
}

// Tensor functions
let batch = document.getElementById("batch");
let row = document.getElementById("row");
let column = document.getElementById("column");

const onesZerosFunc = (arg) => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section.");
  } else if (batch.value === "") {
      return alert("Please enter a number in the 'batch' field in the 'Tensor functions' section.");
  } else if (row.value === "") {
      return alert("Please enter a number in the 'row' field in the 'Tensor functions' section.");
  } else if (column.value === "") {
      return alert("Please enter a number in the 'column' field in the 'Tensor functions' section.");
  } else {
      document.editor.textbox.value+="\n" + variable.value + " = tf." + arg + "([" + batch.value + ", " + row.value + ", " + column.value + "])";
  }
}

const reshape = (arg) => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section.");
  } else if (batch.value === "") {
      return alert("Please enter a number in the 'batch' field in the 'Tensor functions' section.");
  } else if (row.value === "") {
      return alert("Please enter a number in the 'row' field in the 'Tensor functions' section.");
  } else {
      let keep = "";

      if (column.value) {
        keep = ", " + column.value;
      }

      document.editor.textbox.value+="\n" + variable.value + "_1 = tf." + arg + "(" + variable.value + ", [" + batch.value + ", " + row.value + keep + "])";
  }
}

// Select
let rows = document.getElementById("rows");
let columns = document.getElementById("columns");

const access = () => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section.");
  } else if (row.value === "") {
      return alert("Please enter a number in the 'row' field in the 'Tensor functions' section.");
  } else {
      let keep = "";

      if (column.value) {
        keep = ", " + column.value;
      }

      document.editor.textbox.value+="\n" + variable.value + "_select = " + variable.value + "[" + row.value + keep + "]";
  }
}

const accessRows = () => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section");
  } else if (row.value === "") {
      return alert("Please enter a number in the 'row' field in the 'Tensor functions' section.");
  } else if (rows.value === "") {
      return alert("Please enter a number in the 'rows' field in the 'Select' section.");
  } else {
      document.editor.textbox.value+="\n" + variable.value + "_rows = " + variable.value + "[" + row.value + "::" + rows.value + "]";
  }
}

const accessColumn = () => {
  if (variable.value === "") {
    return alert("Please enter a variable name in the 'Create Tensor' section");
  } else if (row.value === "") {
      return alert("Please enter a number in the 'row' field in the 'Tensor functions' section.");
  } else if (rows.value === "") {
      return alert("Please enter a number in the 'rows' field in the 'Select' section.");
  } else if (columns.value === "") {
      return alert("Please enter a number in the 'columns' field in the 'Select' section.");
  } else {
      document.editor.textbox.value+="\n" + variable.value + "_column = " + variable.value + "[" + row.value + ":" + rows.value + ", " + columns.value + "]";
  }
}