Python numpy.lib.format.read_magic() Examples
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code examples of numpy.lib.format.read_magic().
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Example #1
Source File: test_format.py From lambda-packs with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #2
Source File: test_format.py From keras-lambda with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #3
Source File: test_format.py From twitter-stock-recommendation with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #4
Source File: test_format.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #5
Source File: test_format.py From coffeegrindsize with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #6
Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #7
Source File: test_format.py From mxnet-lambda with Apache License 2.0 | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #8
Source File: test_format.py From pySINDy with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #9
Source File: test_format.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #10
Source File: test_format.py From GraphicDesignPatternByPython with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #11
Source File: test_format.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #12
Source File: test_format.py From vnpy_crypto with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #13
Source File: test_format.py From auto-alt-text-lambda-api with MIT License | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #14
Source File: test_format.py From recruit with Apache License 2.0 | 6 votes |
def test_read_magic(): s1 = BytesIO() s2 = BytesIO() arr = np.ones((3, 6), dtype=float) format.write_array(s1, arr, version=(1, 0)) format.write_array(s2, arr, version=(2, 0)) s1.seek(0) s2.seek(0) version1 = format.read_magic(s1) version2 = format.read_magic(s2) assert_(version1 == (1, 0)) assert_(version2 == (2, 0)) assert_(s1.tell() == format.MAGIC_LEN) assert_(s2.tell() == format.MAGIC_LEN)
Example #15
Source File: npy.py From intake with BSD 2-Clause "Simplified" License | 5 votes |
def _get_info(self): from numpy.lib import format with self.f as fp: version = format.read_magic(fp) format._check_version(version) shape, fortran_order, dtype = format._read_array_header(fp, version) self.shape = shape self.dtype = dtype self.order = 'F' if fortran_order else 'C' self.offset = fp.tell()
Example #16
Source File: test_format.py From Computable with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #17
Source File: test_format.py From vnpy_crypto with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #18
Source File: test_format.py From mxnet-lambda with Apache License 2.0 | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #19
Source File: test_format.py From ImageFusion with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #20
Source File: _data.py From dislib with Apache License 2.0 | 5 votes |
def _read_header(self): with open(self.path, 'rb') as fp: version = format.read_magic(fp) try: format._check_version(version) except ValueError: raise ValueError('Invalid file format.') header_data = format._read_array_header(fp, version) self.shape, self.fortran_order, self.dtype = header_data
Example #21
Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #22
Source File: test_format.py From auto-alt-text-lambda-api with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #23
Source File: test_format.py From lambda-packs with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #24
Source File: test_format.py From keras-lambda with MIT License | 5 votes |
def test_read_magic_bad_magic(): for magic in malformed_magic: f = BytesIO(magic) yield raises(ValueError)(format.read_magic), f
Example #25
Source File: io.py From dislib with Apache License 2.0 | 4 votes |
def load_npy_file(path, block_size): """ Loads a file in npy format (must be 2-dimensional). Parameters ---------- path : str Path to the npy file. block_size : tuple (int, int) Block size of the resulting ds-array. Returns ------- x : ds-array """ try: fid = open(path, "rb") version = format.read_magic(fid) format._check_version(version) shape, fortran_order, dtype = format._read_array_header(fid, version) if fortran_order: raise ValueError("Fortran order not supported for npy files") if len(shape) != 2: raise ValueError("Array is not 2-dimensional") if block_size[0] > shape[0] or block_size[1] > shape[1]: raise ValueError("Block size is larger than the array") blocks = [] n_blocks = int(ceil(shape[1] / block_size[1])) for i in range(0, shape[0], block_size[0]): read_count = min(block_size[0], shape[0] - i) read_size = int(read_count * shape[1] * dtype.itemsize) data = fid.read(read_size) out_blocks = [object() for _ in range(n_blocks)] _read_from_buffer(data, dtype, shape[1], block_size[1], out_blocks) blocks.append(out_blocks) return Array(blocks=blocks, top_left_shape=block_size, reg_shape=block_size, shape=shape, sparse=False) finally: fid.close()