```

But then we get a `dict` in the parameter `commons` of the *path operation function*.

And we know that editors can't provide a lot of support (like completion) for `dict`s, because they can't know their keys and value types.

We can do better...

## What makes a dependency

Up to now you have seen dependencies declared as functions.

     *   <li>If this field's value is some other thread object, we know that it's not our thread.
     *   <li>If this field's value == null because it originally belonged to another thread and that
     *       thread cleared it, we still know that it's not associated with our thread
     *   <li>If this field's value == null because it was associated with our thread and was
     *       cleared, we know that we're not executing inline any more
     * </ul>

    if (mapEntryBelowToTruncate != null) {
      // we know ( [
      RangeMapEntry<K, V> rangeMapEntry = mapEntryBelowToTruncate.getValue();
      if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.lowerBound) > 0) {
        // we know ( [ )
        if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.upperBound) > 0) {
          // we know ( [ ] ), so insert the range ] ) back into the map --

     *   <li>If this field's value is some other thread object, we know that it's not our thread.
     *   <li>If this field's value == null because it originally belonged to another thread and that
     *       thread cleared it, we still know that it's not associated with our thread
     *   <li>If this field's value == null because it was associated with our thread and was
     *       cleared, we know that we're not executing inline any more
     * </ul>

//
//    Value >> Shape >> Rank
//
// If you know the value, you always know the shape and the rank. If you know
// the shape, you always know the rank.
ValueConstraint Merge(ValueConstraint a, ValueConstraint b);

// Returns success if constraint can be resolved statically based on the value
// type, e.g. `shape` constraint can be resolved if the value is a tensor of
// statically known shape.

    if (mapEntryBelowToTruncate != null) {
      // we know ( [
      RangeMapEntry<K, V> rangeMapEntry = mapEntryBelowToTruncate.getValue();
      if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.lowerBound) > 0) {
        // we know ( [ )
        if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.upperBound) > 0) {
          // we know ( [ ] ), so insert the range ] ) back into the map --

          - ${toolChain.instanceDisplayName}:
              - Don't know how to build for platform 'unknown'.
  - static library 'hello:staticLibrary':
      - No tool chain is available to build for platform 'unknown':
          - ${toolChain.instanceDisplayName}:
              - Don't know how to build for platform 'unknown'.
  - executable 'main:executable':

      compute_fn, compute_fn_inputs.data(), compute_fn_inputs.size(), status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  // TODO(bmzhao): Finish API on FunctionMetadata args, so we know how many
  // inputs + outputs a function has.
  TFE_TensorHandle* compute_fn_outputs[1] = {nullptr};
  int num_retvals = 1;

  TFE_Execute(compute_fn_op, &compute_fn_outputs[0], &num_retvals, status);

	// other fields such as expiry etc.
	return claims.Valid()
}

// ParseUnverifiedStandardClaims - WARNING: Don't use this method unless you know what you're doing
//
// This method parses the token but doesn't validate the signature. It's only
// ever useful in cases where you know the signature is valid (because it has
// been checked previously in the stack) and you want to extract values from
// it.

        if (resourceName != null) {
            spec.fileLocation(resourceName);
            // If we know the line ...
            if (0 < line) {
                // ... and the column ...
                if (0 < column) {
                    // ... and we know how long the error is (i.e. end - start)