}


    /**
     * {@inheritDoc}
     *
     * @see jcifs.internal.RequestWithPath#setResolveInDfs(boolean)
     */
    @Override
    public void setResolveInDfs ( boolean resolve ) {
        if ( resolve ) {
            addFlags2(SmbConstants.FLAGS2_RESOLVE_PATHS_IN_DFS);
        }
        else {
            remFlags2(SmbConstants.FLAGS2_RESOLVE_PATHS_IN_DFS);
        }
    }


    /**

                    throw new SmbUnsupportedOperationException();
                }
                throw e;
            }
            try ( SmbFile browser = (SmbFile) parent.resolve(addr.getHostAddress()) ) {
                try ( SmbTreeHandleImpl th = browser.ensureTreeConnected() ) {
                    if ( th.isSMB2() ) {
                        throw new SmbUnsupportedOperationException();

verify-healing-inconsistent-versions: install-race ## verify resolving inconsistent versions
	@echo "Verify resolving inconsistent versions build with race"
	@(env bash $(PWD)/buildscripts/resolve-right-versions.sh)

build-debugging:
	@(env bash $(PWD)/docs/debugging/build.sh)

build: checks build-debugging ## builds minio to $(PWD)
	@echo "Building minio binary to './minio'"

*   Clone the TensorFlow repo and switch to the corresponding branch for your
    desired TensorFlow version, for example, branch `r2.8` for version 2.8.
*   Apply (that is, cherry-pick) the desired changes and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.
*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

## Continuous build status

                else if ( s.equalsIgnoreCase("DNS") ) {
                    this.resolverOrder.add(ResolverType.RESOLVER_DNS);
                }
                else {
                    log.error("unknown resolver method: " + s);
                }
            }
        }
    }


    protected void initProtocolVersions ( String minStr, String maxStr ) {

pkg go/types, type TypeParamList struct
pkg go/types, type Union struct
pkg net, func TCPAddrFromAddrPort(netip.AddrPort) *TCPAddr
pkg net, func UDPAddrFromAddrPort(netip.AddrPort) *UDPAddr
pkg net, method (*Resolver) LookupNetIP(context.Context, string, string) ([]netip.Addr, error)
pkg net, method (*TCPAddr) AddrPort() netip.AddrPort
pkg net, method (*UDPAddr) AddrPort() netip.AddrPort

            try {
                host = trans.getRemoteAddress().getHostName();
            }
            catch ( Exception e ) {
                log.debug("Failed to resolve host name", e);
            }
        }

        if ( log.isDebugEnabled() ) {
            log.debug("Remote host is " + host);
        }

        if ( s == null ) {

Você pode definir dependências que por sua vez definem suas próprias dependências.

No fim, uma árvore hierárquica de dependências é criadas, e o sistema de **Injeção de Dependência** toma conta de resolver todas essas dependências (e as sub-dependências delas) para você, e provê (injeta) os resultados em cada passo.

Por exemplo, vamos supor que você possua 4 endpoints na sua API (*operações de rota*):

* `/items/public/`

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
<font color="#3465A4">INFO    </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font>

   * @param max the upper bound (inclusive) of the range to constrain {@code value} to
   * @throws IllegalArgumentException if {@code min > max}
   * @since 21.0
   */
  // A call to bare "min" or "max" would resolve to our varargs method, not to any static import.
  @SuppressWarnings("StaticImportPreferred")
  public static int constrainToRange(int value, int min, int max) {