return Types.toString(type);
    }

    boolean jdkTypeDuplicatesOwnerName() {
      return true;
    }
  }

  /**
   * Per <a href="https://github.com/google/guava/issues/1635">issue 1635</a>, In JDK 1.7.0_51-b13,
   * {@link TypeVariableImpl#equals(Object)} is changed to no longer be equal to custom TypeVariable
   * implementations. As a result, we need to make sure our TypeVariable implementation respects

  html_url: https://github.com/uriyyo/fastapi-pagination
  stars: 1638
  owner_login: uriyyo
  owner_html_url: https://github.com/uriyyo
- name: bracket
  html_url: https://github.com/evroon/bracket
  stars: 1638
  owner_login: evroon
  owner_html_url: https://github.com/evroon
- name: langchain-serve
  html_url: https://github.com/jina-ai/langchain-serve
  stars: 1634
  owner_login: jina-ai

  
  kubeadm: started using k8s.io/system-validators v1.12.1 in kubeadm 1.35. During `kubeadm init`, `kubeadm join` and `kubeadm upgrade`, the SystemVerification preflight check will throw an error if cgroups v1 is detected and if the detected kubelet version is 1.35 or newer. For older versions of kubelet, there will be just a preflight warning.
  

	VMSLTUVI	$17, V2, V3			// ERROR "signed immediate 16 must be in range [-16, 15]"
	VMSLTUVI	$-16, V2, V3			// ERROR "signed immediate -17 must be in range [-16, 15]"
	VMSGEVI		$17, V2, V3			// ERROR "signed immediate 16 must be in range [-16, 15]"
	VMSGEVI		$-16, V2, V3			// ERROR "signed immediate -17 must be in range [-16, 15]"
	VMSGEUVI	$17, V2, V3			// ERROR "signed immediate 16 must be in range [-16, 15]"

            assertEquals(4096, SMBUtil.readInt4(buffer, 4)); // Read length
            assertEquals(8192L, SMBUtil.readInt8(buffer, 8)); // Offset
            assertArrayEquals(testFileId, Arrays.copyOfRange(buffer, 16, 32)); // File ID
            assertEquals(512, SMBUtil.readInt4(buffer, 32)); // Minimum count
            assertEquals(Smb2ReadRequest.SMB2_CHANNEL_NONE, SMBUtil.readInt4(buffer, 36)); // Channel

        final byte[] enc = new byte[size];
        SMBUtil.writeInt4(size, enc, 0);
        SMBUtil.writeInt4(0, enc, 4);
        System.arraycopy(customData, 0, enc, 8, 8);
        System.arraycopy(machineId, 0, enc, 16, 32);
        return enc;
    }

    Quantiles.ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(1, 3, 5);
    assertThrows(IllegalArgumentException.class, () -> intermediate.compute(EMPTY_DATASET));
  }

  public void testScale_indexes_varargs_compute_doubleVarargs_empty() {
    Quantiles.ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(1, 3, 5);
    assertThrows(IllegalArgumentException.class, () -> intermediate.compute(new double[] {}));

    Quantiles.ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(1, 3, 5);
    assertThrows(IllegalArgumentException.class, () -> intermediate.compute(EMPTY_DATASET));
  }

  public void testScale_indexes_varargs_compute_doubleVarargs_empty() {
    Quantiles.ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(1, 3, 5);
    assertThrows(IllegalArgumentException.class, () -> intermediate.compute(new double[] {}));

    assertThat(fluent(1, 3, 5).copyInto(Lists.newArrayList(1, 2)))
        .containsExactly(1, 2, 1, 3, 5)
        .inOrder();
  }

  public void testCopyInto_set() {
    assertThat(fluent(1, 3, 5).copyInto(newHashSet(1, 2))).containsExactly(1, 2, 3, 5);
  }

  public void testCopyInto_setAllDuplicates() {
    assertThat(fluent(1, 3, 5).copyInto(newHashSet(1, 2, 3, 5))).containsExactly(1, 2, 3, 5);
  }

# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version