diff options
author | George Gastaldi <gegastaldi@gmail.com> | 2021-06-26 13:06:37 -0700 |
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committer | Google Java Core Libraries <java-core-libraries-team+copybara@google.com> | 2021-06-26 13:08:45 -0700 |
commit | 6ad72dd8e97688745267edfa7d0da7a432f57170 (patch) | |
tree | 15fe7f13b54d8a40442cbf3041445f26c5b44380 | |
parent | ac7b30cdaac3ed31ef6b54a2654491ae85477f96 (diff) | |
download | guava-6ad72dd8e97688745267edfa7d0da7a432f57170.tar.gz |
Fix BloomFilter tutorial URL.
Closes https://github.com/google/guava/pull/5624.
RELNOTES=n/a
PiperOrigin-RevId: 381661212
-rw-r--r-- | android/guava/src/com/google/common/hash/BloomFilter.java | 2 | ||||
-rw-r--r-- | guava/src/com/google/common/hash/BloomFilter.java | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/android/guava/src/com/google/common/hash/BloomFilter.java b/android/guava/src/com/google/common/hash/BloomFilter.java index 336f47b74..6ffe583f8 100644 --- a/android/guava/src/com/google/common/hash/BloomFilter.java +++ b/android/guava/src/com/google/common/hash/BloomFilter.java @@ -42,7 +42,7 @@ import org.checkerframework.checker.nullness.qual.Nullable; * but if it claims that an element is <i>not</i> contained in it, then this is definitely true. * * <p>If you are unfamiliar with Bloom filters, this nice <a - * href="http://llimllib.github.com/bloomfilter-tutorial/">tutorial</a> may help you understand how + * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how * they work. * * <p>The false positive probability ({@code FPP}) of a Bloom filter is defined as the probability diff --git a/guava/src/com/google/common/hash/BloomFilter.java b/guava/src/com/google/common/hash/BloomFilter.java index feb70fb4d..e0affaad4 100644 --- a/guava/src/com/google/common/hash/BloomFilter.java +++ b/guava/src/com/google/common/hash/BloomFilter.java @@ -43,7 +43,7 @@ import org.checkerframework.checker.nullness.qual.Nullable; * but if it claims that an element is <i>not</i> contained in it, then this is definitely true. * * <p>If you are unfamiliar with Bloom filters, this nice <a - * href="http://llimllib.github.com/bloomfilter-tutorial/">tutorial</a> may help you understand how + * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how * they work. * * <p>The false positive probability ({@code FPP}) of a Bloom filter is defined as the probability |