fix std type

docs/docs/modules/Embedding.md

@@ -1,10 +1,10 @@
 # Embedding
 
-The Embedding module uses Rocksdb to store the values of Embedding, which is KV format. The Key of feature is u_int64_t type, the value is a list of floating point numbers and some other values.
+The Embedding module uses Rocksdb to store the values of Embedding, which is KV format. The Key of feature is uint64_t type, the value is a list of floating point numbers and some other values.
 
 ## Key and Group
 
-All features are discretization and represented by the unique u_int64_t value. We use group to represent the same type of features.Different group can have different optimizer, initializer and dimension.
+All features are discretization and represented by the unique uint64_t value. We use group to represent the same type of features.Different group can have different optimizer, initializer and dimension.
 
 ## Value
 

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/install/Embedding.md

@@ -1,10 +1,10 @@
 # Embedding
 
-The Embedding module uses Rocksdb to store the values of Embedding, which is KV format. The Key of feature is u_int64_t type, the value is a list of floating point numbers and some other values.
+The Embedding module uses Rocksdb to store the values of Embedding, which is KV format. The Key of feature is uint64_t type, the value is a list of floating point numbers and some other values.
 
 ## Key and Group
 
-All features are discretization and represented by the unique u_int64_t value. We use group to represent the same type of features.Different group can have different optimizer, initializer and dimension.
+All features are discretization and represented by the unique uint64_t value. We use group to represent the same type of features.Different group can have different optimizer, initializer and dimension.
 
 ## Value
 

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/modules/Storage.md

@@ -57,7 +57,7 @@ First part stores the dim and count of each group, totally 256 groups. Second pa
 
 | type      | size | length            | description       |
 | --------- | ---- | ----------------- | ----------------- |
-| u_int64_t | 8bit | 1                 | key value         |
+| uint64_t | 8bit | 1                 | key value         |
 | int32     | 4bit | 1                 | group of the key  |
 | float     | 4bit | dim of this group | weight of the key |
 

include/common.h

@@ -35,12 +35,12 @@
 #define Float float
 const Float Epsilon = 1e-8f;
 
-#ifndef u_int64_t
-#define u_int64_t unsigned long long
+#ifndef uint64_t
+//#define uint64_t unsigned long long
 #endif
 
 #ifndef int64_t
-#define int64_t long long
+//#define int64_t long long
 #endif
 
 int64_t get_current_time();

include/counting_bloom_filter.h

@@ -43,9 +43,9 @@ using Counter = struct Counter;
 
 const double FPR = 0.001;
 const int max_count = 15;
-const u_int64_t min_size = 268435456ull;    // 2^28
-const u_int64_t high_mask = 8589934591ull;  // 2^33-1
-const u_int64_t low_mask = 2147483647ull;   // 2^31-1
+const uint64_t min_size = 268435456ull;    // 2^28
+const uint64_t high_mask = 8589934591ull;  // 2^33-1
+const uint64_t low_mask = 2147483647ull;   // 2^31-1
 
 class CountingBloomFilter final {
  private:
@@ -86,8 +86,8 @@ class CountingBloomFilter final {
   void add(const Key &key, const int64_t &num = 1);
   int get_count() const;
 };
-u_int64_t hash_func(const int64_t &x);
-u_int64_t hash_func(const Key &x);
+uint64_t hash_func(const int64_t &x);
+uint64_t hash_func(const Key &x);
 void create_empty_file(const std::string &filename, const size_t &size);
 
 #endif  // DAMO_EMBEDDING_COUNTING_BLOOM_FILTER_H

src/counting_bloom_filter.cpp

@@ -1,11 +1,11 @@
 #include "counting_bloom_filter.h"
 
-u_int64_t hash_func(const int64_t &x) {
+uint64_t hash_func(const int64_t &x) {
   return ((x >> 31) & high_mask) | ((x & low_mask) << 33);
 }
 
-u_int64_t hash_func(const Key &x) {
-  u_int64_t hash = x.group;
+uint64_t hash_func(const Key &x) {
+  uint64_t hash = x.group;
   return hash_func(x.key) | (hash << 15);
 }
 
@@ -23,7 +23,7 @@ CountingBloomFilter::CountingBloomFilter()
 
 CountingBloomFilter::CountingBloomFilter(const Params &config)
     : CountingBloomFilter(
-          config.get<u_int64_t>("capacity", min_size),
+          config.get<uint64_t>("capacity", min_size),
           config.get<int>("count", max_count),
           config.get<std::string>("path", "/tmp/COUNTING_BLOOM_FILTER_DATA"),
           config.get<bool>("reload", true), config.get<double>("fpr", FPR)) {}
@@ -83,7 +83,7 @@ CountingBloomFilter::CountingBloomFilter(size_t capacity, int count,
 
 bool CountingBloomFilter::check(const Key &key) {
   int min_count = max_count;
-  u_int64_t hash = hash_func(key);
+  uint64_t hash = hash_func(key);
 
   for (int i = 0; i < this->k_; i++) {
     auto idx = hash % this->counter_num_;
@@ -104,7 +104,7 @@ bool CountingBloomFilter::check(const Key &key) {
 }
 
 void CountingBloomFilter::add(const Key &key, const int64_t &num) {
-  u_int64_t hash = hash_func(key);
+  uint64_t hash = hash_func(key);
   for (int i = 0; i < this->k_; i++) {
     auto idx = hash % this->counter_num_;
     if (idx & 1) {