-iname host-local \
        -o -iname bridge \
        -o -iname portmap \
        -o -iname loopback \
        \) \
        -delete

  # containerd 1.4.12 installed by docker in kubekins supports CNI version 0.4.0
  echo "Configuring cni"
  sudo mkdir -p "$CNI_CONFIG_DIR"
  cat << EOF | sudo tee "$CNI_CONFIG_DIR"/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",

	testCases := []struct {
		Version string
		Result  []string
	}{
		{"0.55.55", nil},
		{"1.0.55", nil},
		{"1.4.19", nil},
		{"1.4.20", []string{WaitString}},
		{"1.4.21", []string{WaitString}},
		{"1.4.22", []string{WaitString, WaitSecondsValue}},
		{"1.5.0", []string{WaitString, WaitSecondsValue}},
		{"2.0.0", []string{WaitString, WaitSecondsValue, WaitIntervalString, WaitIntervalUsecondsValue}},
	}

.068,0.164,0.068c0.143,0,0.273-0.137,0.389-0.271 c0.191-0.214,0.324-0.395,0.135-0.575c-0.686-0.654-1.436-1.138-2.363-1.533C13.24,3.097,12.168,2.884,11.066,2.884z"/><path d="M16.43,15.747c-0.092-0.028-0.242,0.05-0.309,0.119l0,0c-0.652,0.652-1.42,1.169-2.268,1.521 c-0.877,0.371-1.814,0.551-2.779,0.551c-0.961,0-1.896-0.189-2.775-0.564c-0.848-0.36-1.612-0.879-2.268-1.53 c-0.682-0.688-1.196-1.455-1.529-2.268c-0.325-0.799-0.471-1.643-0.471-1.643c-0.045-0.24-0.258-0.249-0.567-0.203 c-0.128,0.021-0.519,...

=== "Python 3.9+"

    ```Python hl_lines="12-20"
    {!> ../../../docs_src/sql_databases/sql_app_py39/alt_main.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="14-22"
    {!> ../../../docs_src/sql_databases/sql_app/alt_main.py!}
    ```

!!! info
    我们将`SessionLocal()`请求的创建和处理放在一个`try`块中。

    然后我们在finally块中关闭它。

    通过这种方式，我们确保数据库会话在请求后始终关闭，即使在处理请求时出现异常也会关闭。

			errors:          noerrors,
			test:            testSyncClaim,
		},
		{
			// failed syncVolume do not bind when pvc is prebound to pv with matching volumeModes but class does not match
			name:            "14-5-2 - do not bind when pvc is prebound to pv with matching volumeModes but class does not match",

      %14 = tfl.mul(%11, %13) {fused_activation_function = "NONE", tac.device = "DARWINN", tac.inference_type = "FLOAT"} : (tensor<?xi32>, tensor<i32>) -> tensor<?xi32>
      %15 = "tfl.reshape"(%14, %12) {tac.device = "DARWINN", tac.inference_type = "FLOAT"} : (tensor<?xi32>, tensor<2xi32>) -> tensor<?x1xi32>

// counting the runes in all the nodes.
// Ignoring character classes p.numRunes is always less than the length of the regexp.
// Character classes can make it much larger: each \pL adds 1292 runes.
// 128 MB is enough for 32M runes, which is over 26k \pL instances.
// Note that repetitions do not make copies of the rune slices,
// so \pL{1000} is only one rune slice, not 1000.

GoBlock dt=44 reason_string=15 stack=5
GoStart dt=20 g=82 g_seq=7
GoBlock dt=367 reason_string=13 stack=11
GoUnblock dt=11 g=22 g_seq=9 stack=0
GoStart dt=4 g=22 g_seq=10
GoLabel dt=1 label_string=2
GoBlock dt=3492 reason_string=15 stack=5
ProcStop dt=9
EventBatch gen=3 m=169425 time=28114950900302 size=349
ProcStatus dt=2 p=10 pstatus=1
GoStatus dt=2 g=70 m=169425 gstatus=2
GoBlock dt=8 reason_string=15 stack=5

Array(K+1);for(a=0,i=0;i<U-1;i++)for(it[i]=a,t=0;t<1<<W[i];t++)at[a++]=i;for(at[a-1]=i,r=0,i=0;i<16;i++)for(nt[i]=r,t=0;t<1<<J[i];t++)et[r++]=i;for(r>>=7;i<L;i++)for(nt[i]=r<<7,t=0;t<1<<J[i]-7;t++)et[256+r++]=i;for(e=0;e<=K;e++)s[e]=0;for(t=0;t<=143;)$[2*t+1]=8,t++,s[8]++;for(;t<=255;)$[2*t+1]=9,t++,s[9]++;for(;t<=279;)$[2*t+1]=7,t++,s[7]++;for(;t<=287;)$[2*t+1]=8,t++,s[8]++;for(u($,F+1,s),t=0;t<L;t++)tt[2*t+1]=5,tt[2*t]=d(t,5);rt=new n($,W,T+1,F,K),st=new n(tt,J,0,L,K),ot=new n(new Array(0),Q,0,H,P)}function...

0490          ; mapped                 ; 0491          # 1.1  CYRILLIC CAPITAL LETTER GHE WITH UPTURN
0491          ; valid                                  # 1.1  CYRILLIC SMALL LETTER GHE WITH UPTURN
0492          ; mapped                 ; 0493          # 1.1  CYRILLIC CAPITAL LETTER GHE WITH STROKE
0493          ; valid                                  # 1.1  CYRILLIC SMALL LETTER GHE WITH STROKE