linting

WORKSPACE

@@ -115,9 +115,9 @@ http_archive(
     name = "com_google_googleapis",
     build_file = "@com_github_googleapis_google_cloud_cpp//bazel:googleapis.BUILD",
     patch_cmds = [
-        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/api/field_behavior.proto""", 
-        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/pubsub/v1beta2/pubsub.proto""", 
-        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/pubsub/v1/pubsub.proto""", 
+        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/api/field_behavior.proto""",
+        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/pubsub/v1beta2/pubsub.proto""",
+        """sed -i.bak 's/OPTIONAL/OPIONAL/g' google/pubsub/v1/pubsub.proto""",
     ],
     sha256 = "a53e15405f81d5a32594d7f6486e649131fadda5431cf28377dff4ae54d45d16",
     strip_prefix = "googleapis-d4d09eb3aec152015f35717102f9b423988b94f7",

bld.sh

@@ -0,0 +1,9 @@
+#!/usr/bin/env bash
+
+ls dist/*
+for f in dist/*.whl; do
+  docker run -i --rm -v $PWD:/v -w /v --net=host quay.io/pypa/manylinux2010_x86_64 bash -x -e /v/tools/build/auditwheel repair --plat manylinux2010_x86_64 $f
+done
+sudo chown -R $(id -nu):$(id -ng) .
+ls wheelhouse/*
+

tensorflow_io/core/kernels/bigtable/serialization.cc

@@ -26,7 +26,7 @@ namespace {
 
 #include <winsock.h>
 
-inline StatusOr<bool> BytesToBool(const std::string &bytes) {
+inline StatusOr<bool> BytesToBool(const std::string& bytes) {
   union {
     char byte;
     bool res;
@@ -38,7 +38,7 @@ inline StatusOr<bool> BytesToBool(const std::string &bytes) {
   return u.res;
 }
 
-inline StatusOr<uint32_t> BytesToInt32(const std::string &bytes) {
+inline StatusOr<uint32_t> BytesToInt32(const std::string& bytes) {
   union {
     char bytes[4];
     uint32_t res;
@@ -50,7 +50,7 @@ inline StatusOr<uint32_t> BytesToInt32(const std::string &bytes) {
   return ntohl(u.res);
 }
 
-inline StatusOr<uint64_t> BytesToInt64(const std::string &bytes) {
+inline StatusOr<uint64_t> BytesToInt64(const std::string& bytes) {
   union {
     char bytes[8];
     uint32_t res;

test.py

@@ -0,0 +1,14 @@
+import tensorflow_io as tfio
+from tensorflow_io import bigtable as bt
+
+_=[print(x) for x in dir(bt)]
+
+c = bt.BigtableClient("test-project", "test-instance")
+t = c.get_table("t1")
+row_s = row_set.from_rows_or_ranges(row_range.closed_range("row000", "row009"))
+
+read_rows = [
+    r for r in t.read_rows(["cf1:c1"], row_set=row_s)
+]
+print(read_rows)
+