// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This file implements scanner, a lexical tokenizer for
// Go source. After initialization, consecutive calls of
// next advance the scanner one token at a time.
//
// This file, source.go, tokens.go, and token_string.go are self-contained
// (`go tool compile scanner.go source.go tokens.go token_string.go` compiles)

		// Assign variables on the LHS of the range statement. Use *hp to get the element.
		e := ir.NewStarExpr(base.Pos, hp)
		e.SetBounded(true)
		a := rangeAssign2(nrange, hv1, e)
		body = append(body, a)

		// Advance pointer for next iteration of the loop.
		// This reads from hp and writes to hu.
		huVal = ir.NewConvExpr(base.Pos, ir.OCONVNOP, types.Types[types.TUNSAFEPTR], hp)

void MergeControlFlowPass::runOnOperation() {
  ModuleOp module = getOperation();
  auto result = module.walk([&](tf_device::ClusterOp cluster) {
    OptimizeIfRegions(&cluster.GetBody(), module);
    return WalkResult::advance();
  });
  if (result.wasInterrupted()) return signalPassFailure();
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>> CreateMergeControlFlowPass() {

fastapi-configuration-with-confz-90949c14ea12 title: Seamless FastAPI Configuration with ConfZ - author: Kaustubh Gupta author_link: https://medium.com/@kaustubhgupta1828/ link: https://levelup.gitconnected.com/5-advance-features-of-fastapi-you-should-try-7c0ac7eebb3e title: 5 Advanced Features of FastAPI You Should Try - author: Kaustubh Gupta author_link: https://medium.com/@kaustubhgupta1828/ link: https://www.analyticsvidhya.com/blog/2021/06/deploying-ml-models-as-api-using-fastapi-and-heroku/...

// the driver to advance to the next result set.
type RowsNextResultSet interface {
	Rows

	// HasNextResultSet is called at the end of the current result set and
	// reports whether there is another result set after the current one.
	HasNextResultSet() bool

	// NextResultSet advances the driver to the next result set even

      argnum_and_convolutions[arg_num].emplace_back(conv2d, block_size);
      argnum_num_users[arg_num] = num_users;
      return WalkResult::interrupt();
    }
    return WalkResult::advance();
  });
  if (!conv2d_result.wasInterrupted()) {
    return;
  }

  // Iterate through block argument and its convolution users. Space to depth

        if (failed(
                IdentifyXlaShardingForTPUComputation(&builder, cluster_func))) {
          return WalkResult::interrupt();
        }
        return WalkResult::advance();
      });
  if (result.wasInterrupted()) return signalPassFailure();
}

}  // namespace

std::unique_ptr<mlir::OperationPass<ModuleOp>>
CreateTPUShardingIdentificationPass() {

NODE_LOCAL_SSDS=${NODE_LOCAL_SSDS:-0}
NODE_LABELS=${KUBE_NODE_LABELS:-}
WINDOWS_NODE_LABELS=${WINDOWS_NODE_LABELS:-}
NODE_LOCAL_SSDS_EPHEMERAL=${NODE_LOCAL_SSDS_EPHEMERAL:-}
# Turning GRPC based Konnectivity testing on id advance of
# removing the SSHTunnel code.
export KUBE_ENABLE_EGRESS_VIA_KONNECTIVITY_SERVICE=true
export PREPARE_KONNECTIVITY_SERVICE="${KUBE_ENABLE_KONNECTIVITY_SERVICE:-true}"

          op->emitOpError() << "failed to convert to functional form";
          return WalkResult::interrupt();
        }
      }
      return WalkResult::advance();
    });

    if (result.wasInterrupted()) return signalPassFailure();
  }
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>>
CreateTFRegionControlFlowToFunctional() {

	t.cursorX = t.cursorX % t.termWidth

	if places > 0 && t.cursorX == 0 {
		// Normally terminals will advance the current position
		// when writing a character. But that doesn't happen
		// for the last character in a line. However, when
		// writing a character (except a new line) that causes
		// a line wrap, the position will be advanced two
		// places.
		//
		// So, if we are stopping at the end of a line, we