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.
  

    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

map[Point]string{{0, 0}: "orig"}    // same as map[Point]string{Point{0, 0}: "orig"}

type PPoint *Point
[2]*Point{{1.5, -3.5}, {}}          // same as [2]*Point{&Point{1.5, -3.5}, &Point{}}
[2]PPoint{{1.5, -3.5}, {}}          // same as [2]PPoint{PPoint(&Point{1.5, -3.5}), PPoint(&Point{})}
</pre>

<p>
Examples of valid array, slice, and map literals:
</p>

<pre>

    testRotate(new byte[] {1, 2}, 1, new byte[] {2, 1});
    testRotate(new byte[] {1, 2}, 2, new byte[] {1, 2});
    testRotate(new byte[] {1, 2}, 3, new byte[] {2, 1});

    testRotate(new byte[] {1, 2, 3}, -5, new byte[] {3, 1, 2});
    testRotate(new byte[] {1, 2, 3}, -4, new byte[] {2, 3, 1});
    testRotate(new byte[] {1, 2, 3}, -3, new byte[] {1, 2, 3});
    testRotate(new byte[] {1, 2, 3}, -2, new byte[] {3, 1, 2});

    testRotate(new byte[] {1, 2}, 1, new byte[] {2, 1});
    testRotate(new byte[] {1, 2}, 2, new byte[] {1, 2});
    testRotate(new byte[] {1, 2}, 3, new byte[] {2, 1});

    testRotate(new byte[] {1, 2, 3}, -5, new byte[] {3, 1, 2});
    testRotate(new byte[] {1, 2, 3}, -4, new byte[] {2, 3, 1});
    testRotate(new byte[] {1, 2, 3}, -3, new byte[] {1, 2, 3});
    testRotate(new byte[] {1, 2, 3}, -2, new byte[] {3, 1, 2});

    ticker.advance(8998);
    assertThat(stopwatch.toString()).isEqualTo("9.999 \u03bcs");
    stopwatch.reset();
    stopwatch.start();
    ticker.advance(1234567);
    assertThat(stopwatch.toString()).isEqualTo("1.235 ms");
    stopwatch.reset();
    stopwatch.start();
    ticker.advance(5000000000L);
    assertThat(stopwatch.toString()).isEqualTo("5.000 s");
    stopwatch.reset();
    stopwatch.start();