prev = next;
      }
    }
    return true;
  }

  /**
   * {@link Collections#binarySearch(List, Object, Comparator) Searches} {@code sortedList} for
   * {@code key} using the binary search algorithm. The list must be sorted using this ordering.
   *
   * @param sortedList the list to be searched
   * @param key the key to be searched for

s‘Ñ$CªPartASizes‘Ñ$C¤SizeÑ$C¥MTimeÓ É ¸Åñ€§MetaSys ¼x-minio-internal-inline-dataÄ true§MetaUsr‚¤etagÙ d6566afb36d109141150¬content-type°application/json¡v ÎÅ ½¤ ¤nullÅ ,T_º¾ ÷²ŒÝ€ Ç7€{vO¸Ú¡£’3¹fd+Î>" ¾r_dn_search_filter","value":""},{"key":"group_search_filter","value":""},{"key":"group_search_base_dn","value":""},{"key":"tls_skip_verify","value":"off"},{"key":"server_insecure","value":"off"},{"key":"server_starttls","value":"off"},{"key":"lookup_bind_dn","value":""},{"key":"lookup_bind_password...

	}

	// Add space at the end.
	// Will have -1 modtime, so it will be inserted there.
	x.versions = append(x.versions, xlMetaV2ShallowVersion{header: xlMetaV2VersionHeader{ModTime: -1}})

	// Linear search, we likely have to insert at front.
	for i, existing := range x.versions {
		if existing.header.ModTime <= modTime {
			// Insert at current idx. First move current back.
			copy(x.versions[i+1:], x.versions[i:])

# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no
# filesystem search takes place, since libtensorflow_framework.so has already
# been loaded by pywrap_tensorflow) and registers its ops and kernels via
# REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from

### Internal

* 🔧 Update sponsors, remove Flint. PR [#10349](https://github.com/tiangolo/fastapi/pull/10349) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Rename label "awaiting review" to "awaiting-review" to simplify search queries. PR [#10343](https://github.com/tiangolo/fastapi/pull/10343) by [@tiangolo](https://github.com/tiangolo).