searchPaging(data, form);
        });
    }

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse reset(final SearchForm form) {
        saveToken();
        crawlingInfoPager.clear();
        return asHtml(path_AdminCrawlinginfo_AdminCrawlinginfoJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

}

func TestErasureEncodeDecode(t *testing.T) {
	data := make([]byte, 256)
	if _, err := io.ReadFull(rand.Reader, data); err != nil {
		t.Fatalf("Failed to read random data: %v", err)
	}
	for i, test := range erasureEncodeDecodeTests {
		buffer := make([]byte, len(data), 2*len(data))
		copy(buffer, data)

		erasure, err := NewErasure(context.Background(), test.dataBlocks, test.parityBlocks, blockSizeV2)

  }

  public void testReadFully() throws IOException {
    DataInput in = new LittleEndianDataInputStream(new ByteArrayInputStream(data));
    byte[] b = new byte[data.length];
    in.readFully(b);
    assertEquals(Bytes.asList(data), Bytes.asList(b));
  }

  public void testReadUnsignedByte_eof() throws IOException {

  }

  public void testReadFully() throws IOException {
    DataInput in = new LittleEndianDataInputStream(new ByteArrayInputStream(data));
    byte[] b = new byte[data.length];
    in.readFully(b);
    assertEquals(Bytes.asList(data), Bytes.asList(b));
  }

  public void testReadUnsignedByte_eof() throws IOException {

	// Create a split function that delivers a little data, then a predictable error.
	numSplits := 0
	const okCount = 7
	errorSplit := func(data []byte, atEOF bool) (advance int, token []byte, err error) {
		if atEOF {
			panic("didn't get enough data")
		}
		if numSplits >= okCount {
			return 0, nil, testError
		}
		numSplits++
		return 1, data[0:1], nil
	}
	// Read the data.
	const text = "abcdefghijklmnopqrstuvwxyz"

		t.Fatalf("Failed to find created data, got error: %v", err)
	} else if result.Name != "foo" || result.Name2 != "foo" || result.Name3 != "" || result.Age != 18 || !result.Enabled || result.Created.Format("20060102") != "20000102" {
		t.Fatalf("Failed to find created data with default data, got %+v", result)
	}

	type Harumph2 struct {
		ID      int       `gorm:"default:0"`

            registerProtocolSchemeItems(data);
            registerFileConfigItems(data);
        });
    }

    private HtmlResponse asDetailsHtml() {
        return asHtml(path_AdminFileauth_AdminFileauthDetailsJsp).renderWith(data -> {
            registerProtocolSchemeItems(data);
            registerFileConfigItems(data);
        });
    }

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]
    assert data["lastname"] == person_data["lastname"]
    assert data["full_name"] == person_data["name"] + " " + person_data["lastname"]


@needs_pydanticv1

        labelTypePager.clear();
        return asHtml(path_AdminLabeltype_AdminLabeltypeJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    protected void searchPaging(final RenderData data, final SearchForm form) {
        RenderDataUtil.register(data, "labelTypeItems", labelTypeService.getLabelTypeList(labelTypePager)); // page navi

        // restore from pager