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Results 1 - 10 of 98 for NP (0.02 sec)

  1. tools/bug-report/pkg/filter/filter.go

    			return nil, fmt.Errorf("bad node type at path %s: got %T, expected string", n, cn)
    		}
    		if len(np) != 4 {
    			return nil, fmt.Errorf("unexpected leaf at path %s, expect leaf path to be namespace.deployment.pod.container", np)
    		}
    		if matchesKubeCaptureConfig(config, cluster, np[0], np[1], np[2], np[3]) {
    			matchingPaths[np.String()] = struct{}{}
    		}
    	}
    	return matchingPaths, nil
    }
    
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Thu Oct 13 23:42:29 UTC 2022
    - 3.9K bytes
    - Viewed (0)
  2. src/sync/atomic/value.go

    			continue
    		}
    		// First store completed. Check type and overwrite data.
    		if typ != np.typ {
    			panic("sync/atomic: swap of inconsistently typed value into Value")
    		}
    		op := (*efaceWords)(unsafe.Pointer(&old))
    		op.typ, op.data = np.typ, SwapPointer(&vp.data, np.data)
    		return old
    	}
    }
    
    // CompareAndSwap executes the compare-and-swap operation for the [Value].
    //
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Feb 26 20:48:55 UTC 2024
    - 5.9K bytes
    - Viewed (0)
  3. cmd/peer-rest-server.go

    		return np, grid.NewRemoteErr(err)
    	}
    
    	return
    }
    
    // LoadUserHandler - reloads a user on the server.
    func (s *peerRESTServer) LoadUserHandler(mss *grid.MSS) (np grid.NoPayload, nerr *grid.RemoteErr) {
    	objAPI := newObjectLayerFn()
    	if objAPI == nil {
    		return np, grid.NewRemoteErr(errServerNotInitialized)
    	}
    
    	accessKey := mss.Get(peerRESTUser)
    	if accessKey == "" {
    Registered: Sun Jun 16 00:44:34 UTC 2024
    - Last Modified: Fri May 24 23:05:23 UTC 2024
    - 52.1K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py

        self.assertAllClose(new_outputs_1, new_outputs_2)
    
      @parameterized.named_parameters(
          ('use_constant_with_int32_input', np.int32, False),
          ('use_variable_with_int32_input', np.int32, True),
          ('use_constant_with_int64_input', np.int64, False),
          ('use_variable_with_int64_input', np.int64, True),
      )
      @test_util.run_v2_only
      def test_gather_model(self, input_type, use_variable):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 51.4K bytes
    - Viewed (0)
  5. test/fixedbugs/issue46304.go

    	_q    [20]uint64
    	plist []P
    }
    
    type P struct {
    	tag string
    	_x  [10]uint64
    	b   bool
    }
    
    type M int
    
    //go:noinline
    func (w *M) walkP(p *P) *P {
    	np := &P{}
    	*np = *p
    	np.tag += "new"
    	return np
    }
    
    func (w *M) walkOp(op *Op) *Op {
    	if op == nil {
    		return nil
    	}
    
    	orig := op
    	cloned := false
    	clone := func() {
    		if !cloned {
    			cloned = true
    			op = &Op{}
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sat May 22 00:51:17 UTC 2021
    - 1.1K bytes
    - Viewed (0)
  6. pkg/apis/networking/fuzzer/fuzzer.go

    var Funcs = func(codecs runtimeserializer.CodecFactory) []interface{} {
    	return []interface{}{
    		func(np *networking.NetworkPolicyPeer, c fuzz.Continue) {
    			c.FuzzNoCustom(np) // fuzz self without calling this function again
    			// TODO: Implement a fuzzer to generate valid keys, values and operators for
    			// selector requirements.
    			if np.IPBlock != nil {
    				np.IPBlock = &networking.IPBlock{
    					CIDR:   "192.168.1.0/24",
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Tue Oct 31 21:05:06 UTC 2023
    - 4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py

      @test_util.deprecated_graph_mode_only
      def test_replace_tensors_by_numpy_ndarrays_is_noop_when_no_tensor(self):
        # Fill the representative dataset with np.ndarrays only.
        repr_ds: repr_dataset.RepresentativeDataset = [
            {
                'input_tensor': np.random.uniform(low=-1.0, high=1.0, size=(4, 3)),
            }
            for _ in range(8)
        ]
    
        with self.session() as sess:
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jan 04 07:35:19 UTC 2024
    - 11.6K bytes
    - Viewed (0)
  8. test/interface/receiver.go

    // Test Implicit methods for embedded types and
    // mixed pointer and non-pointer receivers.
    
    package main
    
    type T int
    
    var nv, np int
    
    func (t T) V() {
    	if t != 42 {
    		panic(t)
    	}
    	nv++
    }
    
    func (t *T) P() {
    	if *t != 42 {
    		println(t, *t)
    		panic("fail")
    	}
    	np++
    }
    
    type V interface {
    	V()
    }
    type P interface {
    	P()
    	V()
    }
    
    type S struct {
    	T
    }
    
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sun Feb 19 06:33:41 UTC 2012
    - 1.3K bytes
    - Viewed (0)
  9. test/escape_calls.go

    type Node struct {
    	s           string
    	left, right *Node
    }
    
    func walk(np **Node) int { // ERROR "leaking param content: np"
    	n := *np
    	w := len(n.s)
    	if n == nil {
    		return 0
    	}
    	wl := walk(&n.left)
    	wr := walk(&n.right)
    	if wl < wr {
    		n.left, n.right = n.right, n.left // ERROR "ignoring self-assignment"
    		wl, wr = wr, wl
    	}
    	*np = n
    	return w + wl + wr
    }
    
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Dec 05 22:06:07 UTC 2023
    - 1.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py

            self.filters = np.stack(
                [
                    np.random.uniform(
                        low=-(i + 1), high=(i + 1), size=filter_shape[:-1]
                    ).astype('f4')
                    for i in range(self.out_channel_size)
                ],
                axis=-1,
            )
    
            self.bias = np.random.uniform(
                low=0, high=10, size=(self.out_channel_size)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 18.2K bytes
    - Viewed (0)
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