code stringlengths 12 2.05k | label_name stringclasses 5
values | label int64 0 4 |
|---|---|---|
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
// Reinterprete the opaque data provided by user.
OpData* data = reinterpret_cast<OpData*>(node->user_data);
const TfLiteTensor* input1 = GetInput... | Base | 1 |
TfLiteStatus LeakyReluEval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output = GetOutput(context, node, 0);
const auto* params =
reinterpret_cast<TfLiteLeakyReluParams*>(node->builtin_data);
const LeakyReluOpData* data =
reinterp... | Base | 1 |
TfLiteStatus LogicalImpl(TfLiteContext* context, TfLiteNode* node,
bool (*func)(bool, bool)) {
OpData* data = reinterpret_cast<OpData*>(node->user_data);
const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1);
const TfLiteTensor* input2 = GetInput(context, node, kInputTensor... | Base | 1 |
gdImagePtr gdImageCreateTrueColor (int sx, int sy)
{
int i;
gdImagePtr im;
if (overflow2(sx, sy)) {
return NULL;
}
if (overflow2(sizeof(unsigned char *), sy)) {
return NULL;
}
if (overflow2(sizeof(int) + sizeof(unsigned char), sx * sy)) {
return NULL;
}
// Check for OOM before doing a ... | Base | 1 |
CString CWebSock::GetSkinPath(const CString& sSkinName) {
CString sRet = CZNC::Get().GetZNCPath() + "/webskins/" + sSkinName;
if (!CFile::IsDir(sRet)) {
sRet = CZNC::Get().GetCurPath() + "/webskins/" + sSkinName;
if (!CFile::IsDir(sRet)) {
sRet = CString(_SKINDIR_) + "/" + sSkinNam... | Base | 1 |
boost::optional<SaplingNotePlaintext> SaplingNotePlaintext::decrypt(
const SaplingEncCiphertext &ciphertext,
const uint256 &epk,
const uint256 &esk,
const uint256 &pk_d,
const uint256 &cmu
)
{
auto pt = AttemptSaplingEncDecryption(ciphertext, epk, esk, pk_d);
if (!pt) {
return boost:... | Class | 2 |
void PCRECache::dump(const std::string& filename) {
std::ofstream out(filename.c_str());
switch (m_kind) {
case CacheKind::Static:
for (auto& it : *m_staticCache) {
out << it.first->data() << "\n";
}
break;
case CacheKind::Lru:
case CacheKind::Scalable:
{
std::vec... | Base | 1 |
TEST_F(QuantizedConv2DTest, OddPaddingBatch) {
const int stride = 2;
TF_ASSERT_OK(NodeDefBuilder("quantized_conv_op", "QuantizedConv2D")
.Input(FakeInput(DT_QUINT8))
.Input(FakeInput(DT_QUINT8))
.Input(FakeInput(DT_FLOAT))
.Input(FakeInput(... | Class | 2 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteUnpackParams* data =
reinterpret_cast<TfLiteUnpackParams*>(node->builtin_data);
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
switch (input->type) {
case kTfLiteFloat32: {
UnpackImpl<float>(context, nod... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
auto* data =
reinterpret_cast<TfLiteAudioMicrofrontendParams*>(node->user_data);
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, kInputTen... | Base | 1 |
ObfuscatedPasswd::ObfuscatedPasswd(const PlainPasswd& plainPwd) : CharArray(8), length(8) {
int l = strlen(plainPwd.buf), i;
for (i=0; i<8; i++)
buf[i] = i<l ? plainPwd.buf[i] : 0;
deskey(d3desObfuscationKey, EN0);
des((rdr::U8*)buf, (rdr::U8*)buf);
} | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
auto* params =
reinterpret_cast<TfLiteLSHProjectionParams*>(node->builtin_data);
int32_t* out_buf = GetOutput(context, node, 0)->data.i32;
const TfLiteTensor* hash = GetInput(context, node, 0);
const TfLiteTensor* input = GetInput(context, nod... | Base | 1 |
R_API RBinJavaAttrInfo *r_bin_java_constant_value_attr_new(RBinJavaObj *bin, ut8 *buffer, ut64 sz, ut64 buf_offset) {
ut64 offset = 6;
RBinJavaAttrInfo *attr = r_bin_java_default_attr_new (bin, buffer, sz, buf_offset);
if (attr) {
attr->type = R_BIN_JAVA_ATTR_TYPE_CONST_VALUE_ATTR;
attr->info.constant_value_attr... | Base | 1 |
v8::Local<v8::Object> CreateNativeEvent(
v8::Isolate* isolate,
v8::Local<v8::Object> sender,
content::RenderFrameHost* frame,
electron::mojom::ElectronBrowser::MessageSyncCallback callback) {
v8::Local<v8::Object> event;
if (frame && callback) {
gin::Handle<Event> native_event = Event::Create(is... | Class | 2 |
char *uwsgi_expand_path(char *dir, int dir_len, char *ptr) {
char src[PATH_MAX + 1];
memcpy(src, dir, dir_len);
src[dir_len] = 0;
char *dst = ptr;
if (!dst)
dst = uwsgi_malloc(PATH_MAX + 1);
if (!realpath(src, dst)) {
uwsgi_error_realpath(src);
if (!ptr)
free(dst);
return NULL;
}
return dst;
} | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, 0);
switch (input->type) {
case kTfLiteFloat32:
return EvalImpl<kernel_type, kTfLiteFloat32>(context, node);
case kTfLiteUInt8:
return EvalImpl<kernel_type, kTfLiteUInt8>(context, n... | Base | 1 |
static int lookup1_values(int entries, int dim)
{
int r = (int) floor(exp((float) log((float) entries) / dim));
if ((int) floor(pow((float) r+1, dim)) <= entries) // (int) cast for MinGW warning;
++r; // floor() to avoid _ftol() when non-CRT
assert(pow((floa... | Base | 1 |
jas_seq2d_t *jas_seq2d_copy(jas_seq2d_t *x)
{
jas_matrix_t *y;
int i;
int j;
y = jas_seq2d_create(jas_seq2d_xstart(x), jas_seq2d_ystart(x),
jas_seq2d_xend(x), jas_seq2d_yend(x));
assert(y);
for (i = 0; i < x->numrows_; ++i) {
for (j = 0; j < x->numcols_; ++j) {
*jas_matrix_getref(y, i, j) = jas_matrix_get... | Base | 1 |
void CalculateOutputIndexValueRowID(
OpKernelContext* context, const RowPartitionTensor& value_rowids,
const vector<INDEX_TYPE>& parent_output_index,
INDEX_TYPE output_index_multiplier, INDEX_TYPE output_size,
vector<INDEX_TYPE>* result) {
const INDEX_TYPE index_size = value_rowids.size();... | Base | 1 |
bool ECDSA_Verification_Operation::verify(const uint8_t msg[], size_t msg_len,
const uint8_t sig[], size_t sig_len)
{
if(sig_len != m_group.get_order_bytes() * 2)
return false;
const BigInt e(msg, msg_len, m_group.get_order_bits());
const BigInt r(sig, sig_l... | Class | 2 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
optimized_ops::Round(GetTensorShape(input), GetTensorData<float>(input),
GetTensorShape(output), ... | Base | 1 |
int HexOutStream::length()
{
return offset + ptr - start;
} | Base | 1 |
TEST_P(SslSocketTest, Ipv6San) {
const std::string client_ctx_yaml = R"EOF(
common_tls_context:
validation_context:
trusted_ca:
filename: "{{ test_rundir }}/test/config/integration/certs/upstreamcacert.pem"
match_subject_alt_names:
exact: "::1"
)EOF";
const std::string server_ctx_... | Base | 1 |
std::string controller::bookmark(
const std::string& url,
const std::string& title,
const std::string& description,
const std::string& feed_title)
{
std::string bookmark_cmd = cfg.get_configvalue("bookmark-cmd");
bool is_interactive = cfg.get_configvalue_as_bool("bookmark-interactive");
if (bookmark_cmd.leng... | Class | 2 |
TfLiteStatus EluEval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output = GetOutput(context, node, 0);
switch (input->type) {
case kTfLiteFloat32: {
optimized_ops::Elu(GetTensorShape(input), GetTensorData<float>(input),
... | Base | 1 |
TfLiteRegistration CopyOpRegistration() {
TfLiteRegistration reg = {nullptr, nullptr, nullptr, nullptr};
reg.prepare = [](TfLiteContext* context, TfLiteNode* node) {
// Set output size to input size
const TfLiteTensor* tensor0 = GetInput(context, node, 0);
TfLiteTensor* tensor1 = GetOutput(... | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
auto* params = reinterpret_cast<TfLiteDivParams*>(node->builtin_data);
OpData* data = reinterpret_cast<OpData*>(node->user_data);
const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1);
const TfLiteTensor* input2 = GetInput(context, nod... | Base | 1 |
TfLiteStatus StoreAllDecodedSequences(
TfLiteContext* context,
const std::vector<std::vector<std::vector<int>>>& sequences,
TfLiteNode* node, int top_paths) {
const int32_t batch_size = sequences.size();
std::vector<int32_t> num_entries(top_paths, 0);
// Calculate num_entries per path
for (const au... | Base | 1 |
TEST_F(ListenerManagerImplQuicOnlyTest, QuicListenerFactoryWithWrongCodec) {
const std::string yaml = TestEnvironment::substitute(R"EOF(
address:
socket_address:
address: 127.0.0.1
protocol: UDP
port_value: 1234
filter_chains:
- filter_chain_match:
transport_protocol: "quic"
filters: []
transpor... | Base | 1 |
void Context::onDelete() {
if (wasm_->onDelete_) {
wasm_->onDelete_(this, id_);
}
} | Base | 1 |
TfLiteStatus ReluEval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output = GetOutput(context, node, 0);
const ReluOpData* data = reinterpret_cast<ReluOpData*>(node->user_data);
switch (input->type) {
case kTfLiteFloat32: {
optimized... | Base | 1 |
TfLiteStatus Relu1Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output = GetOutput(context, node, 0);
const ReluOpData* data = reinterpret_cast<ReluOpData*>(node->user_data);
switch (input->type) {
case kTfLiteFloat32: {
optimize... | Base | 1 |
bool IsPadOpSupported(const TfLiteRegistration* registration,
const TfLiteNode* node, TfLiteContext* context) {
// padding is d x 2 tensor, where d is the dimension of input.
const TfLiteTensor* padding = GetInput(context, node, 1);
if (!IsConstantTensor(padding)) {
TF_LITE_KERNEL_LOG(co... | Base | 1 |
UnicodeString::doAppend(const UChar *srcChars, int32_t srcStart, int32_t srcLength) {
if(!isWritable() || srcLength == 0 || srcChars == NULL) {
return *this;
}
// Perform all remaining operations relative to srcChars + srcStart.
// From this point forward, do not use srcStart.
srcChars += srcStart;
if... | Base | 1 |
TfLiteStatus EvalHashtableSize(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input_resource_id_tensor =
GetInput(context, node, kInputResourceIdTensor);
int resource_id = input_resource_id_tensor->data.i32[0];
TfLiteTensor* output_tensor = GetOutput(context, node, kOutputTensor);
auto* ... | Base | 1 |
bool read(ReadonlyBytes buffer)
{
auto fields_size = sizeof(LocalFileHeader) - (sizeof(u8*) * 3);
if (buffer.size() < fields_size)
return false;
if (memcmp(buffer.data(), local_file_header_signature, sizeof(local_file_header_signature)) != 0)
return false;
... | Base | 1 |
int HttpFileImpl::save(const std::string &path) const
{
assert(!path.empty());
if (fileName_.empty())
return -1;
filesystem::path fsPath(utils::toNativePath(path));
if (!fsPath.is_absolute() &&
(!fsPath.has_parent_path() ||
(fsPath.begin()->string() != "." && fsPath.begin()->str... | Base | 1 |
static Array HHVM_METHOD(Memcache, getextendedstats,
const String& /*type*/ /* = null_string */,
int /*slabid*/ /* = 0 */, int /*limit*/ /* = 100 */) {
auto data = Native::data<MemcacheData>(this_);
memcached_return_t ret;
memcached_stat_st *stats;
stats = memc... | Base | 1 |
bool handleBackslash(signed char& out) {
char ch = *p++;
switch (ch) {
case 0: return false;
case '"': out = ch; return true;
case '\\': out = ch; return true;
case '/': out = ch; return true;
case 'b': out = '\b'; return true;
case 'f': out = '\f'; return true;
case ... | Base | 1 |
RestAuthHandler::RestAuthHandler(application_features::ApplicationServer& server,
GeneralRequest* request, GeneralResponse* response)
: RestVocbaseBaseHandler(server, request, response),
_validFor(60 * 60 * 24 * 30) {} | Base | 1 |
TEST(BasicFlatBufferModel, TestHandleMalformedModel) {
const auto model_paths = {
// These models use the same tensor as both input and ouput of a node
"tensorflow/lite/testdata/add_shared_tensors.bin",
};
for (const auto& model_path : model_paths) {
std::unique_ptr<tflite::FlatBufferModel> model... | Base | 1 |
R_API RBinJavaAttrInfo *r_bin_java_source_code_file_attr_new(RBinJavaObj *bin, ut8 *buffer, ut64 sz, ut64 buf_offset) {
if (!sz) {
return NULL;
}
ut64 offset = 0;
RBinJavaAttrInfo *attr = r_bin_java_default_attr_new (bin, buffer, sz, buf_offset);
offset += 6;
if (!attr) {
return NULL;
}
attr->type = R_BIN_J... | Base | 1 |
TfLiteStatus LogicalImpl(TfLiteContext* context, TfLiteNode* node,
bool (*func)(bool, bool)) {
OpData* data = reinterpret_cast<OpData*>(node->user_data);
const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1);
const TfLiteTensor* input2 = GetInput(context, node, kInputTensor... | Base | 1 |
TfLiteStatus PrepareHashtable(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 0);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
TF_LITE_ENSURE(context, node->user_data != nullptr);
const auto* params =
reinterpret_cast<const TfLiteHashtableParams*>(node->user_da... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
output->type = k... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
TF_LITE_ENSURE_... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
auto* params =
reinterpret_cast<TfLiteAudioSpectrogramParams*>(node->user_data);
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, kInputTen... | Base | 1 |
TypedValue HHVM_FUNCTION(substr_compare,
const String& main_str,
const String& str,
int offset,
int length /* = INT_MAX */,
bool case_insensitivity /* = false */) {
int s1_len = main_str.size()... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 3);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* start = GetInput(context, node, kStartTensor);
const TfLiteTensor* limit = GetInput(context, node, kLimitTensor);
const TfLiteT... | Base | 1 |
TfLiteStatus GenericPrepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output = GetOutput(context, node, 0);
TF_LITE_ENSURE_TYPES_EQ(context, ... | Base | 1 |
CharString *Formattable::internalGetCharString(UErrorCode &status) {
if(fDecimalStr == NULL) {
if (fDecimalQuantity == NULL) {
// No decimal number for the formattable yet. Which means the value was
// set directly by the user as an int, int64 or double. If the value came
// from par... | Base | 1 |
void Context::onLog() {
if (wasm_->onLog_) {
wasm_->onLog_(this, id_);
}
} | Base | 1 |
mptctl_eventquery (unsigned long arg)
{
struct mpt_ioctl_eventquery __user *uarg = (void __user *) arg;
struct mpt_ioctl_eventquery karg;
MPT_ADAPTER *ioc;
int iocnum;
if (copy_from_user(&karg, uarg, sizeof(struct mpt_ioctl_eventquery))) {
printk(KERN_ERR MYNAM "%s@%d::mptctl_eventquery - "
"Unable to read ... | Class | 2 |
TEST_P(SslSocketTest, FailedClientAuthSanVerification) {
const std::string client_ctx_yaml = R"EOF(
common_tls_context:
tls_certificates:
certificate_chain:
filename: "{{ test_rundir }}/test/extensions/transport_sockets/tls/test_data/no_san_cert.pem"
private_key:
filename: "{{ test_r... | Base | 1 |
int bmp_validate(jas_stream_t *in)
{
int n;
int i;
uchar buf[2];
assert(JAS_STREAM_MAXPUTBACK >= 2);
/* Read the first two characters that constitute the signature. */
if ((n = jas_stream_read(in, (char *) buf, 2)) < 0) {
return -1;
}
/* Put the characters read back onto the stream. */
for (i = n - 1; i >=... | Class | 2 |
TfLiteStatus ReluPrepare(TfLiteContext* context, TfLiteNode* node) {
ReluOpData* data = reinterpret_cast<ReluOpData*>(node->user_data);
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input = GetInput(context, node, 0);
TfLiteTensor* output ... | Base | 1 |
bool DecodeResourceHandleList(std::unique_ptr<port::StringListDecoder> d,
ResourceHandle* ps, int64_t n) {
std::vector<uint32> sizes(n);
if (!d->ReadSizes(&sizes)) return false;
ResourceHandleProto proto;
for (int i = 0; i < n; ++i) {
if (!proto.ParseFromArray(d->Data(sizes[i]... | Base | 1 |
QPDFObjectHandle::parse(PointerHolder<InputSource> input,
std::string const& object_description,
QPDFTokenizer& tokenizer, bool& empty,
StringDecrypter* decrypter, QPDF* context)
{
return parseInternal(input, object_description, tokenizer, empt... | Class | 2 |
Http::FilterMetadataStatus Context::onRequestMetadata() {
if (!wasm_->onRequestMetadata_) {
return Http::FilterMetadataStatus::Continue;
}
if (wasm_->onRequestMetadata_(this, id_).u64_ == 0) {
return Http::FilterMetadataStatus::Continue;
}
return Http::FilterMetadataStatus::Continue; // This is curren... | Base | 1 |
TfLiteStatus EvalImpl(TfLiteContext* context, TfLiteNode* node) {
auto* params =
reinterpret_cast<TfLiteDepthwiseConvParams*>(node->builtin_data);
OpData* data = reinterpret_cast<OpData*>(node->user_data);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
const TfLiteTensor* input = GetInpu... | Base | 1 |
static void* OGRExpatRealloc( void *ptr, size_t size )
{
if( CanAlloc(size) )
return realloc(ptr, size);
free(ptr);
return nullptr;
} | Variant | 0 |
int jas_memdump(FILE *out, void *data, size_t len)
{
size_t i;
size_t j;
uchar *dp;
dp = data;
for (i = 0; i < len; i += 16) {
fprintf(out, "%04zx:", i);
for (j = 0; j < 16; ++j) {
if (i + j < len) {
fprintf(out, " %02x", dp[i + j]);
}
}
fprintf(out, "\n");
}
return 0;
} | Class | 2 |
R_API RBinJavaAnnotation *r_bin_java_annotation_new(ut8 *buffer, ut64 sz, ut64 buf_offset) {
ut32 i = 0;
RBinJavaAnnotation *annotation = NULL;
RBinJavaElementValuePair *evps = NULL;
ut64 offset = 0;
annotation = R_NEW0 (RBinJavaAnnotation);
if (!annotation) {
return NULL;
}
// (ut16) read and set annotation_... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
OpData* data = reinterpret_cast<OpData*>(node->user_data);
const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1);
const TfLiteTensor... | Base | 1 |
void ComputeAsync(OpKernelContext* c, DoneCallback done) override {
auto col_params = new CollectiveParams();
auto done_with_cleanup = [col_params, done = std::move(done)]() {
done();
col_params->Unref();
};
OP_REQUIRES_OK_ASYNC(c,
FillCollectiveParams(col_params, ... | Variant | 0 |
int GetU8 (int nPos, bool *pbSuccess)
{
//*pbSuccess = true;
if ( nPos < 0 || nPos >= m_nLen )
{
*pbSuccess = false;
return 0;
}
return m_sFile[ nPos ];
} | Base | 1 |
void CIRCNetwork::SetEncoding(const CString& s) {
m_sEncoding = s;
if (GetIRCSock()) {
GetIRCSock()->SetEncoding(s);
}
} | Class | 2 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* dims = GetInput(context, node, kDimsTensor);
const TfLiteTensor* value = GetInput(context, node, kValueTensor);
// Make sure t... | Base | 1 |
UnicodeString::doAppend(const UChar *srcChars, int32_t srcStart, int32_t srcLength) {
if(!isWritable() || srcLength == 0 || srcChars == NULL) {
return *this;
}
// Perform all remaining operations relative to srcChars + srcStart.
// From this point forward, do not use srcStart.
srcChars += srcStart;
if... | Base | 1 |
bool MemoryManager::validate_user_read(const Process& process, VirtualAddress vaddr) const
{
auto* region = region_from_vaddr(process, vaddr);
return region && region->is_readable();
} | Class | 2 |
inline typename V::VariantType FBUnserializer<V>::unserializeThing() {
size_t code = nextCode();
switch (code) {
case FB_SERIALIZE_BYTE:
case FB_SERIALIZE_I16:
case FB_SERIALIZE_I32:
case FB_SERIALIZE_I64:
return V::fromInt64(unserializeInt64());
case FB_SERIALIZE_VARCHAR:
case FB_SER... | Class | 2 |
RectangleRequest &operator=(const struct RectangleRequest &req)
{
// Not nice, but this is really faster and simpler
memcpy(this,&req,sizeof(struct RectangleRequest));
// Not linked in any way if this is new.
rr_pNext = NULL;
//
return *this;
} | Class | 2 |
void * alloc_top(size_t size, size_t align)
{loop:
top -= size;
align_top(align);
if (top < bottom) {new_chunk(); goto loop;}
return top;
} | Base | 1 |
Network::FilterStatus Context::onUpstreamData(int data_length, bool end_of_stream) {
if (!wasm_->onUpstreamData_) {
return Network::FilterStatus::Continue;
}
auto result = wasm_->onUpstreamData_(this, id_, static_cast<uint32_t>(data_length),
static_cast<uint32_t>(end_of_... | Base | 1 |
RequestHandler::RequestHandler(
std::shared_ptr<CheckWorkflow> check_workflow,
std::shared_ptr<context::ServiceContext> service_context,
std::unique_ptr<Request> request_data)
: context_(new context::RequestContext(service_context,
std::move(request_data))),
... | Base | 1 |
friend bool operator==(const TensorKey& t1, const TensorKey& t2) {
if (t1.dtype() != t2.dtype() || t1.shape() != t2.shape()) {
return false;
}
if (DataTypeCanUseMemcpy(t1.dtype())) {
return t1.tensor_data() == t2.tensor_data();
}
if (t1.dtype() == DT_STRING) {
const auto s1 = t1.... | Variant | 0 |
void preprocessNodes(std::vector<Proxy> &nodes, extra_settings &ext)
{
std::for_each(nodes.begin(), nodes.end(), [&ext](Proxy &x)
{
if(ext.remove_emoji)
x.Remark = trim(removeEmoji(x.Remark));
nodeRename(x, ext.rename_array, ext);
if(ext.add_emoji)
x.Remark = ad... | Base | 1 |
void readStructEnd() {
lastFieldId_ = nestedStructFieldIds_.back();
nestedStructFieldIds_.pop_back();
} | Class | 2 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input_tensor = GetInput(context, node, 0);
const TfLiteTensor* padding_matrix = GetInput(context, node, 1);
TfLiteTensor* output_tensor = GetOutput(context, node, 0);
TF_LITE_ENSURE_EQ(context, NumDimensions(padding_matrix), 2... | Base | 1 |
static inline bool isValid(const RemoteFsDevice::Details &d)
{
return d.isLocalFile() || RemoteFsDevice::constSshfsProtocol==d.url.scheme() ||
RemoteFsDevice::constSambaProtocol==d.url.scheme() || RemoteFsDevice::constSambaAvahiProtocol==d.url.scheme();
} | Class | 2 |
bool is_digit(char c) { return c >= '0' && c <= '9'; } | Class | 2 |
TfLiteStatus UseDynamicOutputTensors(TfLiteContext* context, TfLiteNode* node) {
for (int i = 0; i < NumOutputs(node); ++i) {
SetTensorToDynamic(GetOutput(context, node, i));
}
return kTfLiteOk;
} | Base | 1 |
StatusOr<FullTypeDef> SpecializeType(const AttrSlice& attrs,
const OpDef& op_def) {
FullTypeDef ft;
ft.set_type_id(TFT_PRODUCT);
for (int i = 0; i < op_def.output_arg_size(); i++) {
auto* t = ft.add_args();
*t = op_def.output_arg(i).experimental_full_type();
// ... | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
TfLiteTensor* output = GetOutput(context, node, 0);
TfLiteTensor* hits = GetOutput(context, node, 1);
const TfLiteTensor* lookup = GetInput(context, node, 0);
const TfLiteTensor* key = GetInput(context, node, 1);
const TfLiteTensor* value = GetInpu... | Base | 1 |
int PackLinuxElf32::canUnpack()
{
if (super::canUnpack()) {
return true;
}
if (Elf32_Ehdr::ET_DYN==get_te16(&ehdri.e_type)) {
PackLinuxElf32help1(fi);
}
return false;
} | Base | 1 |
TEST(DefaultCertValidatorTest, TestMultiLevelMatch) {
// san_multiple_dns_cert matches *.example.com
bssl::UniquePtr<X509> cert = readCertFromFile(TestEnvironment::substitute(
"{{ test_rundir "
"}}/test/extensions/transport_sockets/tls/test_data/san_multiple_dns_cert.pem"));
envoy::type::matcher::v3::... | Base | 1 |
bool RequestParser::OnHeadersEnd() {
bool matched = view_matcher_(request_->method(), request_->url().path(),
&stream_);
if (!matched) {
LOG_WARN("No view matches the request: %s %s", request_->method().c_str(),
request_->url().path().c_str());
}
return matched;... | Base | 1 |
TfLiteStatus NotEqualEval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1);
const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
bool requires_broadcast = !HaveSameShape... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 0);
OpData* op_data = reinterpret_cast<OpData*>(node->user_data);
OpContext op_context(context, node);
TF_LITE_ENSURE(context, op_context.input->type ... | Base | 1 |
Variant HHVM_FUNCTION(mcrypt_generic_init, const Resource& td,
const String& key,
const String& iv) {
auto pm = get_valid_mcrypt_resource(td);
if (!pm) {
return false;
}
int max_key_size = mcrypt_enc_get_key_size(pm->m_td... | Base | 1 |
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
auto* params = reinterpret_cast<TfLiteMfccParams*>(node->user_data);
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
const TfLiteTensor* input_wav = GetInput(context, node, kInputTensorWav);
con... | Base | 1 |
void ComputeAsync(OpKernelContext* c, DoneCallback done) override {
auto col_params = new CollectiveParams();
auto done_with_cleanup = [col_params, done = std::move(done)]() {
done();
col_params->Unref();
};
core::RefCountPtr<CollectiveGroupResource> resource;
OP_REQUIRES_OK_ASYNC(c, L... | Variant | 0 |
int pnm_validate(jas_stream_t *in)
{
uchar buf[2];
int i;
int n;
assert(JAS_STREAM_MAXPUTBACK >= 2);
/* Read the first two characters that constitute the signature. */
if ((n = jas_stream_read(in, buf, 2)) < 0) {
return -1;
}
/* Put these characters back to the stream. */
for (i = n - 1; i >= 0; --i) {
i... | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLitePackParams* data =
reinterpret_cast<TfLitePackParams*>(node->builtin_data);
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
switch (output->type) {
case kTfLiteFloat32: {
return PackImpl<float>(context, node... | Base | 1 |
IntegrationStreamDecoderPtr HttpIntegrationTest::sendRequestAndWaitForResponse(
const Http::TestHeaderMapImpl& request_headers, uint32_t request_body_size,
const Http::TestHeaderMapImpl& response_headers, uint32_t response_size, int upstream_index) {
ASSERT(codec_client_ != nullptr);
// Send the request to ... | Class | 2 |
inline bool ShapeIsVector(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* shape = GetInput(context, node, kShapeTensor);
return (shape->dims->size == 1 && shape->type == kTfLiteInt32);
} | Base | 1 |
TEST_F(AllowMissingInAndOfOrListTest, GoodAndBadJwts) {
EXPECT_CALL(mock_cb_, onComplete(Status::Ok));
// Use the token with example.com issuer for x-other.
auto headers =
Http::TestRequestHeaderMapImpl{{kExampleHeader, GoodToken}, {kOtherHeader, GoodToken}};
context_ = Verifier::createContext(headers, pa... | Base | 1 |
static bool MR_primality_test(UnsignedBigInteger n, const Vector<UnsignedBigInteger, 256>& tests)
{
// Written using Wikipedia:
// https://en.wikipedia.org/wiki/Miller%E2%80%93Rabin_primality_test#Miller%E2%80%93Rabin_test
ASSERT(!(n < 4));
auto predecessor = n.minus({ 1 });
auto d = predecessor;
... | Base | 1 |
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
switch (input->type) { // Already know in/out types are same.
case kTfLiteFloat32:
return EvalImpl<kernel_type, kTfLiteFloat32>(context, node);
case kTfLiteUInt8:
re... | Base | 1 |
void jas_seq2d_bindsub(jas_matrix_t *s, jas_matrix_t *s1, int xstart,
int ystart, int xend, int yend)
{
jas_matrix_bindsub(s, s1, ystart - s1->ystart_, xstart - s1->xstart_,
yend - s1->ystart_ - 1, xend - s1->xstart_ - 1);
} | Class | 2 |
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