## Order matters { #order-matters }

When creating *path operations*, you can find situations where you have a fixed path.

Like `/users/me`, let's say that it's to get data about the current user.

And then you can also have a path `/users/{user_id}` to get data about a specific user by some user ID.

        return _instance;
    }

    // ===================================================================================
    //                                                                       Current DBDef
    //                                                                       =============
    @Override
    public String getProjectName() {
        return null;
    }

    @Override

        if (normalized.length() > 1 && normalized.endsWith("\\")) {
            normalized = normalized.substring(0, normalized.length() - 1);
        }

        // Handle current directory references
        normalized = normalized.replace("\\.", "");
        normalized = normalized.replace(".\\", "");

        return normalized;
    }

    /**
     * Validate UNC path
     */

    void testToStringWithNullSID() {
        ace.allow = true;
        ace.access = 0x001200A9;
        ace.flags = 0x00;
        ace.sid = null;

        // This should throw NullPointerException as the current implementation doesn't handle null SID
        assertThrows(NullPointerException.class, () -> ace.toString());
    }

    @Test
    @DisplayName("Test decode creates new SID instance")

    void constructorNullResourceLoc() {
        // Null resourceLoc doesn't throw NPE immediately - it's stored and may cause issues when used
        // This test documents the current behavior
        SmbTreeConnection freshConnection = mock(SmbTreeConnection.class);
        when(freshConnection.acquire()).thenReturn(freshConnection);

        // Should not throw NPE during construction

[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for
[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

            List<ChannelInfo> list = new ArrayList<>(channels);
            return list.get(ThreadLocalRandom.current().nextInt(list.size()));
        }
        
        // Weighted random selection
        int random = ThreadLocalRandom.current().nextInt(totalWeight);
        int currentWeight = 0;
        
        for (ChannelInfo channel : channels) {

		_, err := api.DeleteObject(ctx, tgtBucket, tgtObject, ObjectOptions{
			VersionID: versionID,
			// Since we are preserving a delete marker, we have to make sure this is always true.
			// regardless of the current configuration of the bucket we must preserve all versions
			// on the pool being batch replicated from source.
			Versioned:          true,
			MTime:              srcObjInfo.ModTime,

            this.verifyFailed = verify;
            return !verify;
        }
        return true;
    }

    /**
     * Writes a string to the destination buffer using the current encoding.
     *
     * @param str the string to write
     * @param dst the destination buffer
     * @param dstIndex the starting offset in the buffer
     * @return the number of bytes written
     */

            this.hasMore = false;
        }
        return this;
    }

    /**
     * Calculates padding needed for the given offset
     * @param offset
     *            the current offset
     * @return padding size in bytes
     */
    protected int pad(final int offset) {
        final int p = offset % getPadding();
        if (p == 0) {
            return 0;
        }