* }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *
   * The coding pattern above is heavily used in java.util, e.g. in ArrayList. There is a

      try {
        val parsed = s.toLong()
        return if (parsed <= 0L) Long.MIN_VALUE else parsed
      } catch (e: NumberFormatException) {
        // Check if the value is an integer (positive or negative) that's too big for a long.
        if (s.matches("-?\\d+".toRegex())) {
          return if (s.startsWith("-")) Long.MIN_VALUE else Long.MAX_VALUE
        }
        throw e
      }
    }

    /**

    assertEquals(1, Lists.partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, Lists.partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, Lists.partition(Collections.nCopies(0x40000001, 1), 0x40000000).size());
  }

			cap0 = b.Cap()
		}
	}
	cap1 := b.Cap()
	// (*Buffer).grow allows for 2x capacity slop before sliding,
	// so set our error threshold at 3x.
	if cap1 > cap0*3 {
		t.Errorf("buffer cap = %d; too big (grew from %d)", cap1, cap0)
	}
}

func BenchmarkWriteByte(b *testing.B) {
	const n = 4 << 10
	b.SetBytes(n)
	buf := NewBuffer(make([]byte, n))
	for i := 0; i < b.N; i++ {
		buf.Reset()

    assertEquals(1, Lists.partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, Lists.partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, Lists.partition(Collections.nCopies(0x40000001, 1), 0x40000000).size());
  }

			noFilename:         true,
		},
		// Success case, big body.
		{
			objectName:         "test",
			data:               bytes.Repeat([]byte("a"), 10<<20),
			expectedRespStatus: http.StatusNoContent,
			accessKey:          credentials.AccessKey,

		}
		_, err = buf.WriteTo(conn)
		if err != nil {
			gridLogIf(ctx, fmt.Errorf("ws write: %w", err))
			return
		}

		if buf.Cap() > writeBufferSize*4 {
			// Reset buffer if it gets too big, so we don't keep it around.
			buf = bytes.Buffer{}
		}
	}
}

func (c *Connection) handleMsg(ctx context.Context, m message, subID *subHandlerID) {
	switch m.Op {
	case OpMuxServerMsg:

  TestEncodeDecode(__LINE__, {});
  TestEncodeDecode(__LINE__, {"hello"});
  TestEncodeDecode(__LINE__,
                   {"the", "quick", "brown", "fox", "jumped", "over"});

  string big(1000, 'a');
  TestEncodeDecode(__LINE__, {"small", big, "small2"});
}

TEST(CAPI, SessionOptions) {
  TF_SessionOptions* opt = TF_NewSessionOptions();
  TF_DeleteSessionOptions(opt);
}

TEST(CAPI, DeprecatedSession) {

		//
		// This happens repeatedly for all objects that are created concurrently() avoiding this
		// as a List() call is an important performance improvement.
		//
		// Spark based s3a committers are a  big enough use-case to have this optimization.
		//
		// A sample code to see the improvements is as follows, this sample code is
		// simply a read on JSON from MinIO and write it back as "parquet".
		//

		}
		uploadedParts = append(uploadedParts, minio.CompletePart{
			PartNumber: pInfo.PartNumber,
			ETag:       pInfo.ETag,
		})
	}

	// really big value but its okay on heavily loaded systems. This is just tail end timeout.
	cctx, ccancel := context.WithTimeout(ctx, 10*time.Minute)
	defer ccancel()