예제 #1
0
파일: readDMAT.cpp 프로젝트: dut09/libigl
IGL_INLINE bool igl::readDMAT(const std::string file_name,
  Eigen::PlainObjectBase<DerivedW> & W)
{
  FILE * fp = fopen(file_name.c_str(),"r");
  if(fp == NULL)
  {
    fprintf(stderr,"IOError: readDMAT() could not open %s...\n",file_name.c_str());
    return false; 
  }
  int num_rows,num_cols;
  int head_success = readDMAT_read_header(fp,num_rows,num_cols);
  if(head_success != 0)
  {
    if(head_success == 1)
    {
      fprintf(stderr,
        "IOError: readDMAT() first row should be [num cols] [num rows]...\n");
    }
    fclose(fp);
    return false;
  }

  // Resize output to fit matrix
  W.resize(num_rows,num_cols);

  // Loop over columns slowly
  for(int j = 0;j < num_cols;j++)
  {
    // loop over rows (down columns) quickly
    for(int i = 0;i < num_rows;i++)
    {
      double d;
      if(fscanf(fp," %lg",&d) != 1)
      {
        fclose(fp);
        fprintf(
          stderr,
          "IOError: readDMAT() bad format after reading %d entries\n",
          j*num_rows + i);
        return false;
      }
      W(i,j) = d;
    }
  }

  // Try to read header for binary part
  head_success = readDMAT_read_header(fp,num_rows,num_cols);
  if(head_success == 0)
  {
    assert(W.size() == 0);
    // Resize for output
    W.resize(num_rows,num_cols);
    double * Wraw = new double[num_rows*num_cols];
    fread(Wraw, sizeof(double), num_cols*num_rows, fp);
    // Loop over columns slowly
    for(int j = 0;j < num_cols;j++)
    {
      // loop over rows (down columns) quickly
      for(int i = 0;i < num_rows;i++)
      {
        W(i,j) = Wraw[j*num_rows+i];
      }
    }
  }

  fclose(fp);
  return true;
}
예제 #2
0
파일: readDMAT.cpp 프로젝트: bbrrck/libigl
IGL_INLINE bool igl::readDMAT(const std::string file_name,
  Eigen::PlainObjectBase<DerivedW> & W)
{
  FILE * fp = fopen(file_name.c_str(),"rb");
  if(fp == NULL)
  {
    fprintf(stderr,"IOError: readDMAT() could not open %s...\n",file_name.c_str());
    return false; 
  }
  int num_rows,num_cols;
  int head_success = readDMAT_read_header(fp,num_rows,num_cols);
  if(head_success != 0)
  {
    if(head_success == 1)
    {
      fprintf(stderr,
        "IOError: readDMAT() first row should be [num cols] [num rows]...\n");
    }
    fclose(fp);
    return false;
  }

  // Resize output to fit matrix, only if non-empty since this will trigger an
  // error on fixed size matrices before reaching binary data.
  bool empty = num_rows == 0 || num_cols == 0;
  if(!empty)
  {
    W.resize(num_rows,num_cols);
  }

  // Loop over columns slowly
  for(int j = 0;j < num_cols;j++)
  {
    // loop over rows (down columns) quickly
    for(int i = 0;i < num_rows;i++)
    {
      double d;
      if(fscanf(fp," %lg",&d) != 1)
      {
        fclose(fp);
        fprintf(
          stderr,
          "IOError: readDMAT() bad format after reading %d entries\n",
          j*num_rows + i);
        return false;
      }
      W(i,j) = d;
    }
  }

  // Try to read header for binary part
  head_success = readDMAT_read_header(fp,num_rows,num_cols);
  if(head_success == 0)
  {
    assert(W.size() == 0);
    // Resize for output
    W.resize(num_rows,num_cols);
    double * Wraw = new double[num_rows*num_cols];
    fread(Wraw, sizeof(double), num_cols*num_rows, fp);
    // Loop over columns slowly
    for(int j = 0;j < num_cols;j++)
    {
      // loop over rows (down columns) quickly
      for(int i = 0;i < num_rows;i++)
      {
        W(i,j) = Wraw[j*num_rows+i];
      }
    }
  }else
  {
    // we skipped resizing before in case there was binary data
    if(empty)
    {
      // This could trigger an error if using fixed size matrices.
      W.resize(num_rows,num_cols);
    }
  }

  fclose(fp);
  return true;
}