Datasets:

shibing624
/

source_code

text stringlengths 0 2.2M
// bdlma_heapbypassallocator.cpp --C++--

// ----------------------------------------------------------------------------
// NOTICE
//
// This component is not up to date with current BDE coding standards, and
// should not be used as an example for new development.
// ----------------------------------------------------------------------------

#include <bdlma_heapbypassallocator.h>

#include <bsls_ident.h>
BSLS_IDENT_RCSID(bdlma_heapbypassallocator_cpp,"$Id$ $CSID$")

#include <bsls_assert.h>
#include <bsls_alignmentutil.h>
#include <bsls_platform.h>

#include <bsl_algorithm.h>

#ifdef BSLS_PLATFORM_OS_WINDOWS

#include <windows.h>

#elif defined(BSLS_PLATFORM_OS_UNIX)

#include <unistd.h>
#include <sys/mman.h>

#endif

namespace BloombergLP {
namespace bdlma {

// ========================================
// struct HeapBypassAllocator::BufferHeader
// ========================================

struct HeapBypassAllocator::BufferHeader {
// This struct defines a link in a linked list of buffers allocated by
// 'class HeapBypassAllocator'. Each buffer header is located at the
// beginning of the buffer it describes, and contains the size (in bytes)
// of the buffer.

BufferHeader *d_nextBuffer; // pointer to linked list of buffers
// allocated after this one

bsls::Types::size_type d_size; // size (in bytes) of this buffer
};
} // close package namespace

// --------------------------
// bdlma::HeapBypassAllocator
// --------------------------

// PRIVATE CLASS METHODS
#if defined(BSLS_PLATFORM_OS_UNIX)

namespace bdlma {

char *HeapBypassAllocator::map(bsls::Types::size_type size)
{
// Note that passing 'MAP_ANONYMOUS' and a null file descriptor tells
// 'mmap' to use a special system file to map to.

char address = (char )mmap(0, // 'mmap' chooses what address to which
// to map the memory
size,
PROT_READ \| PROT_WRITE,
#ifdef BSLS_PLATFORM_OS_DARWIN
MAP_ANON \| MAP_PRIVATE,
#else
MAP_ANONYMOUS \| MAP_PRIVATE,
#endif
-1, // null file descriptor
0);
return (MAP_FAILED == address ? 0 : address);
}

void HeapBypassAllocator::unmap(void *address, bsls::Types::size_type size) {
// On some platforms, munmap takes a 'char ', on others, a 'void '.

munmap((char *)address, size);
}
} // close package namespace
#elif defined(BSLS_PLATFORM_OS_WINDOWS)

namespace bdlma {

char *HeapBypassAllocator::map(bsls::Types::size_type size)
{
char *address =
(char *)VirtualAlloc(0, // 'VirtualAlloc' chooses what address to
// which to map the memory
size,
MEM_COMMIT \| MEM_RESERVE,
PAGE_READWRITE);
return NULL == address ? 0 : address;
}

End of preview. Expand in Dataset Viewer.

Dataset Card for "SourceCode"

Dataset Summary

Source code dataset is a collection of Github awesome repos, it contains Python, Java, C++, and other programming languages. This dataset can be used in different NLP tasks like language modeling and text generation tasks.

data source:

PYTHON_CODE: https://github.com/bharathgs/Awesome-pytorch-list
JAVA_CODE: https://github.com/akullpp/awesome-java
CPP_CODE: https://github.com/fffaraz/awesome-cpp

Supported Tasks and Leaderboards

language modeling
code generation tasks, Leaderboard: code-autocomplete

Languages

programming languages: Python, Java, C++
natural language: English

Dataset Structure

Data Instances

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "text": """
import json
import argparse


def _parse_args():
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawTextHelpFormatter,
    )
    parser.add_argument(
        '--model-file',
        required=True,
        help=(
            'A pt file from '
            'https://github.com/pytorch/fairseq/tree/main/examples/hubert'
        )
    )
    return parser.parse_args()
    """
}

Data Fields

The data fields are the same among all splits.

text: a string feature.

Data Splits

python

$ wc -l python/*
   10000 python/test.txt
 5215412 python/train.txt
   10000 python/valid.txt
 5235412 total

java

$ wc -l java/*  
  950083 java/test.txt
 2802880 java/train.txt
  940803 java/valid.txt
 4693766 total

cpp

$ wc -l cpp/* 
 1060014 cpp/test.txt
 3119241 cpp/train.txt
 1099124 cpp/valid.txt
 5278379 total

Dataset Creation

Curation Rationale

As code generation dataset, I upload it to huggingface datasets.

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Citation:

APA:

Xu, M. code-autocomplete: Code AutoComplete with GPT2 model (Version 0.0.4) [Computer software]. https://github.com/shibing624/code-autocomplete

BibTeX:

@software{Xu_code-autocomplete_Code_AutoComplete,
author = {Xu, Ming},
title = {code-autocomplete: Code AutoComplete with GPT2 model},
url = {https://github.com/shibing624/code-autocomplete},
version = {0.0.4}
}