labels.backup_name=名称
labels.backup_bulk_file=批量文件
labels.backup_button_upload=上传
labels.process_time_is_exceeded=搜索等待时间已超出。显示的结果可能不完整。
labels.user_given_name=名字
labels.givenName=名字 (名)
labels.user_surname=姓氏
labels.surame=姓氏
labels.user_mail=电子邮件地址
labels.mail=电子邮件地址
labels.user_employeeNumber=员工编号
labels.employeeNumber=员工编号
labels.user_telephoneNumber=电话号码
labels.telephoneNumber=电话号码
labels.user_homePhone=电话 (家庭)

labels.backup_bulk_file=バルクファイル
labels.backup_button_upload=アップロード
labels.process_time_is_exceeded=検索待ち時間の上限を超えました。表示された結果は検索結果の一部である可能性があります。
labels.user_given_name=名前(名)
labels.givenName=名前(名)
labels.user_surname=名前(姓)
labels.surame=名前(姓)
labels.user_mail=メールアドレス
labels.mail=メールアドレス
labels.user_employeeNumber=従業員番号
labels.employeeNumber=従業員番号
labels.user_telephoneNumber=電話番号
labels.telephoneNumber=電話番号
labels.user_homePhone=電話(自宅)

response.inline.mimetypes=application/pdf,text/plain
# HTTP headers for the response.
response.headers=\
text/html=X-XSS-Protection: 1; mode=block\n\
text/html=Content-Security-Policy: reflected-xss block\n\
text/html=X-Frame-Options: SAMEORIGIN\n\


# document index

# Index name for search documents.
index.document.search.index=fess.search
# Index name for update documents.
index.document.update.index=fess.update

public void Os(String); public void setFamily(String); public void setName(String); public void setArch(String); public void setVersion(String); public boolean eval() throws Exception; public static boolean isFamily(String); public static boolean isName(String); public static boolean isArch(String); public static boolean isVersion(String); public static boolean isOs(String, String, String, String); static void <clinit>(); } org/codehaus/plexus/util/PathTool.class package org.codehaus.plexus.util;...

spread out her hand, and made a snatch in the air.  She did not
get hold of anything, but she heard a little shriek and a fall,
and a crash of broken glass, from which she concluded that it was
just possible it had fallen into a cucumber-frame, or something
of the sort.

  Next came an angry voice--the Rabbit's--`Pat! Pat!  Where are
you?'  And then a voice she had never heard before, `Sure then
I'm here!  Digging for apples, yer honour!'

- Fixed a bug in `kube-proxy` `nftables` mode (GA as of `v1.33`) which fails to determine if traffic originates from a local source on the node. The issue was caused by using the wrong meta `iif` instead of `iifname` for name based matches. ([#134024](https://github.com/kubernetes/kubernetes/pull/134024), [@jack4it](https://github.com/jack4it))

    /** The key of the configuration. e.g. text/html=X-XSS-Protection: 1; mode=block<br>
     * text/html=Content-Security-Policy: reflected-xss block<br>
     * text/html=X-Frame-Options: SAMEORIGIN<br>
     *  */
    String RESPONSE_HEADERS = "response.headers";

    /** The key of the configuration. e.g. fess.search */
    String INDEX_DOCUMENT_SEARCH_INDEX = "index.document.search.index";

const, a, b, c, d, e, f, g, h) \ LOAD0(index); \ SHA256ROUND(const, a, b, c, d, e, f, g, h) #define SHA256ROUND1(index, const, a, b, c, d, e, f, g, h) \ LOAD1(index); \ SHA256ROUND(const, a, b, c, d, e, f, g, h) // A stack frame size of 64 bytes is required here, because // the frame size used for data expansion is 64 bytes. // See the definition of the macro LOAD1 above (4 bytes * 16 entries). // //func block(dig *Digest, p []byte) TEXT ·block(SB),NOSPLIT,$64-32 MOVV p_base+8(FP), R5 MOVV p_len+16(FP),...

HSPLandroidx/profileinstaller/ProfileInstallerInitializer$Choreographer16Impl$$ExternalSyntheticLambda0;-><init>(Ljava/lang/Runnable;)V
HSPLandroidx/profileinstaller/ProfileInstallerInitializer$Choreographer16Impl$$ExternalSyntheticLambda0;->doFrame(J)V
HSPLandroidx/profileinstaller/ProfileInstallerInitializer$Choreographer16Impl;->postFrameCallback(Ljava/lang/Runnable;)V

*   Improvements to the TensorFlow debugging experience:

    *   Previously, TensorFlow error stack traces involved many internal frames,
        which could be challenging to read through, while not being actionable
        for end users. As of TF 2.7, TensorFlow filters internal frames in most
        errors that it raises, to keep stack traces short, readable, and focused
        on what's actionable for end users (their own code).