testReadFrom{fileOps{""}, 0, nil},
			testReadFrom{fileOps{"a"}, 0, ErrWriteTooLong},
			testRemaining{0, 0},
		},
	}, {
		maker: makeReg{5, "hello"},
		tests: []testFnc{
			testRemaining{5, 5},
			testWrite{"hello", 5, nil},
			testRemaining{0, 0},
		},
	}, {
		maker: makeReg{5, "\x00\x00\x00\x00\x00"},
		tests: []testFnc{
			testRemaining{5, 5},

longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/longname/file.txt hello...

	}

	objectName := `\../.minio.sys/config/hello.txt`

	// initialize HTTP NewRecorder, this records any mutations to response writer inside the handler.
	rec := httptest.NewRecorder()
	// construct HTTP request for Get Object end point.
	req, err := newTestSignedRequestV4(http.MethodPut, getPutObjectURL("", bucketName, objectName),

./mc replicate add sitea/bucket --remote-bucket siteb/bucket

# Run the test to make sure proxying of DEL marker doesn't happen
loop_count=0
while true; do
	if [ $loop_count -eq 1000 ]; then
		break
	fi
	echo "Hello World" | ./mc pipe sitea/bucket/obj$loop_count
	./mc rm sitea/bucket/obj$loop_count
	RESULT=$({ ./mc stat --no-list sitea/bucket/obj$loop_count; } 2>&1)
	if [[ ${RESULT} != *"Object does not exist"* ]]; then

./mc ready minio1 --insecure
./mc ready minio2 --insecure

# Prepare data for tests
echo -n "Preparing test data ..."
mkdir -p /tmp/data
echo "Hello world" >/tmp/data/plainfile
echo "Hello from encrypted world" >/tmp/data/encrypted
touch /tmp/data/defpartsize
shred -s 500M /tmp/data/defpartsize
touch /tmp/data/custpartsize
shred -s 500M /tmp/data/custpartsize
echo "done"

			testRemaining{1, 1},
		},
	}, {
		maker: makeReg{"hello", 5},
		tests: []testFnc{
			testRemaining{5, 5},
			testRead{5, "hello", io.EOF},
			testRemaining{0, 0},
		},
	}, {
		maker: makeReg{"hello, world", 50},
		tests: []testFnc{
			testRemaining{50, 50},
			testRead{7, "hello, ", nil},
			testRemaining{43, 43},
			testRead{5, "world", nil},

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

	return string(b[0:nb])
}

func TestReaderSimple(t *testing.T) {
	data := "hello world"
	b := NewReader(strings.NewReader(data))
	if s := readBytes(b); s != "hello world" {
		t.Errorf("simple hello world test failed: got %q", s)
	}

	b = NewReader(newRot13Reader(strings.NewReader(data)))
	if s := readBytes(b); s != "uryyb jbeyq" {
		t.Errorf("rot13 hello world test failed: got %q", s)
	}
}

type readMaker struct {

        String text = "Hello, world! How are you? I'm fine.";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertEquals(8, tokens.size()); // "I'm" is split into "I" and "m" by our simple tokenizer
        assertEquals("Hello", tokens.get(0).getTerm());

	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	var (
		nilBytes    []byte
		data        = []byte("hello")
		fiveMBBytes = bytes.Repeat([]byte("a"), 5*humanize.MiByte)
	)
	invalidMD5 := getMD5Hash([]byte("meh"))
	invalidMD5Header := md5Header([]byte("meh"))

	testCases := []struct {
		bucketName    string