KaneAI - World’s First E2E Software Testing Agent.Book a Demo 
How to use _read_list method in autotest
Best Python code snippet using autotest_python
input_reader.py
Source:input_reader.py 
1# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.2#3# Redistribution and use in source and binary forms, with or without4# modification, are permitted provided that the following conditions5# are met:6# * Redistributions of source code must retain the above copyright7# notice, this list of conditions and the following disclaimer.8# * Redistributions in binary form must reproduce the above copyright9# notice, this list of conditions and the following disclaimer in the10# documentation and/or other materials provided with the distribution.11# * Neither the name of NVIDIA CORPORATION nor the names of its12# contributors may be used to endorse or promote products derived13# from this software without specific prior written permission.14#15# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY16# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE17# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR18# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR19# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,20# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,21# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR22# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY23# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.26import os27import numpy as np28from PIL import Image29import scipy.io30import random31import scipy.sparse32import scipy.ndimage.morphology as morp33import cv234from skimage.measure import regionprops35from skimage import measure36from collections import OrderedDict37class InputReaderBase:38 def __init__(self, in_path, file_list, n_classes):39 """40 :param path:41 :param file_list:42 :param n_classes: tuple (start,end)43 """44 self._in_path = in_path45 self._file_list = file_list46 if file_list is not None:47 self._read_list = open(file_list, 'r').read().splitlines()48 else:49 self._read_list = None50 self.n_classes = n_classes51 self._seed = 12352 self._classes_to_keep = []53 self._remapping = OrderedDict()54 def set_classes_to_keep(self, classes_to_keep):55 self._classes_to_keep = classes_to_keep56 self._remapping = OrderedDict()57 def set_external_list(self, ext_list):58 self._read_list = ext_list59 def randompick(self, max_number, seed=123):60 self._seed = seed61 random.seed(seed)62 random.shuffle(self._read_list)63 self._file_list = 'external'64 self._read_list = self._read_list[:max_number]65 def _ignore_classes(self, masks):66 if len(self._classes_to_keep) == 0:67 return masks68 idx = 069 result = []70 for i in range(len(masks)):71 if i in self._classes_to_keep:72 mask = masks[i]73 result.append(mask)74 self._remapping[idx] = i75 idx = idx + 176 return np.array(result)77 def __getitem__(self, item):78 raise NotImplementedError()79 def __len__(self):80 return len(self._read_list)81class InputReader(InputReaderBase):82 def __getitem__(self, item):83 stack = []84 filename = self._read_list[item]85 for idx_cls in range(self.n_classes[0], self.n_classes[1] + self.n_classes[0]):86 img_path = os.path.join(self._in_path, 'class_' + str(idx_cls), filename + '.png')87 img = np.array(Image.open(img_path)) / 255.088 stack.append(img)89 assert len(stack) == self.n_classes[1], len(stack)90 stack = self._ignore_classes(stack)91 return filename, stack92class InputReaderBaseName(InputReaderBase):93 def __getitem__(self, item):94 stack = []95 filename = self._read_list[item]96 filename = os.path.basename(filename).split('.png')[0]97 for idx_cls in range(self.n_classes[0], self.n_classes[1] + self.n_classes[0]):98 img_path = os.path.join(self._in_path, 'class_' + str(idx_cls), filename + '.png')99 img = np.array(Image.open(img_path)) / 255.0100 stack.append(img)101 assert len(stack) == self.n_classes[1], len(stack)102 stack = self._ignore_classes(stack)103 return filename, stack104class InputReaderDummy(InputReaderBase):105 def __getitem__(self, item):106 filename = self._read_list[item]107 return filename, [None for _ in range(self.n_classes[1])]108class InputReaderRGBImage(InputReaderBase):109 def __getitem__(self, item):110 filename = self._read_list[item]111 img_path = os.path.join(self._in_path, 'img', filename + '.png')112 if not os.path.isfile(img_path):113 img_path = os.path.join(self._in_path, 'img', filename + '.jpg')114 img = Image.open(img_path)115 return filename, img116class InputReaderSemMat(InputReaderBase):117 @staticmethod118 def map2Kchannels(maps, klasses):119 masks = [maps == (i + 1) for i in range(klasses)]120 return np.stack(masks, axis=0).astype(np.uint8)121 def __getitem__(self, item):122 filename = self._read_list[item]123 mat_path = os.path.join(self._in_path, filename + '.mat')124 matlab = scipy.io.loadmat(mat_path)125 segmap = matlab['GTcls']['Segmentation'][0][0]126 masks = self.map2Kchannels(segmap, self.n_classes[1])127 assert len(masks) == self.n_classes[1], len(masks)128 masks = self._ignore_classes(masks)129 return filename, masks130class InputReaderSemMat2(InputReaderSemMat):131 def __getitem__(self, item):132 filename = self._read_list[item]133 mat_path = os.path.join(self._in_path, 'cls', filename + '.mat')134 matlab = scipy.io.loadmat(mat_path)135 segmap = matlab['GTcls']['Segmentation'][0][0]136 masks = self.map2Kchannels(segmap, self.n_classes[1])137 assert len(masks) == self.n_classes[1], len(masks)138 masks = self._ignore_classes(masks)139 return filename, masks140class InputReaderSemMatDemo(InputReaderSemMat):141 def __getitem__(self, item):142 mat_path = self._read_list[item]143 matlab = scipy.io.loadmat(mat_path)144 segmap = matlab['GTcls']['Segmentation'][0][0]145 masks = self.map2Kchannels(segmap, self.n_classes[1])146 assert len(masks) == self.n_classes[1], len(masks)147 masks = self._ignore_classes(masks)148 return os.path.basename(mat_path), masks149class InputReaderSemMat2BaseName(InputReaderSemMat):150 def __getitem__(self, item):151 filename = self._read_list[item]152 filename = os.path.basename(filename).split('.png')[0]153 mat_path = os.path.join(self._in_path, 'cls', filename + '.mat')154 matlab = scipy.io.loadmat(mat_path)155 segmap = matlab['GTcls']['Segmentation'][0][0]156 masks = self.map2Kchannels(segmap, self.n_classes[1])157 assert len(masks) == self.n_classes[1], len(masks)158 masks = self._ignore_classes(masks)159 return filename, masks160class InputReaderSemMatCoarse(InputReaderBase):161 def __init__(self, in_path, file_list, n_classes, delta):162 super(InputReaderSemMatCoarse, self).__init__(in_path, file_list, n_classes)163 self._delta = delta164 def map2Kchannels(self, maps, klasses):165 masks = []166 idx = 0167 for i in range(klasses):168 if (len(self._classes_to_keep) == 0) or (i in self._classes_to_keep):169 mask = (maps == (i + 1))170 coarse_mask = self._simulate_coarse_label(mask, self._delta)171 masks.append(coarse_mask)172 self._remapping[idx] = i173 idx = idx + 1174 return np.stack(masks, axis=0).astype(np.uint8)175 def _simulate_coarse_label(self, mask, delta, return_polys=False):176 all_zeros = not np.any(mask)177 if all_zeros:178 return mask179 erosion_iter = delta // 2180 eroded_mask = morp.binary_erosion(mask, iterations=erosion_iter)181 if not np.any(eroded_mask):182 eroded_mask = eroded_mask.astype(np.uint8)183 # if the objects are too small and the delta (erosion) is to big, the objects may disapear184 # if all disappear185 # so let's draw a circle186 properties = regionprops(mask.astype(np.int32))187 c_y, c_x = properties[0].centroid188 c_y = int(c_y)189 c_x = int(c_x)190 # --191 cv2.circle(eroded_mask, (c_x, c_y), 3, 1, -1)192 return eroded_mask193 polys = measure.find_contours(eroded_mask, 0)194 if len(polys) == 0:195 print('error getting poly..returning empty mask')196 return np.zeros_like(mask)197 final_mask = np.zeros_like(mask).astype(np.uint8).T198 final_mask = np.ascontiguousarray(final_mask)199 for poly in polys:200 result = cv2.approxPolyDP(poly.astype(np.int32), erosion_iter, True)[:, 0, :]201 cv2.fillPoly(final_mask, [result], 1)202 final_mask = final_mask.T203 if not np.any(final_mask):204 print('this mask ended up being empty')205 return final_mask206 def __getitem__(self, item):207 filename = self._read_list[item]208 mat_path = os.path.join(self._in_path, 'cls', filename + '.mat')209 matlab = scipy.io.loadmat(mat_path)210 segmap = matlab['GTcls']['Segmentation'][0][0]211 # this function inside does ignore classes... doing this way for speed212 masks = self.map2Kchannels(segmap, self.n_classes[1])213 return filename, masks214class InputReaderSemMatCoarsePerComponent(InputReaderSemMatCoarse):215 def getSim_fn(self):216 return None217 def _simulate_coarse_label(self, mask, delta):218 all_zeros = not np.any(mask)219 if all_zeros:220 return mask221 blobs_labels, n_blobs = measure.label(mask, background=0, return_num=True)222 simp_output = np.zeros_like(mask)223 fn_callback = self.getSim_fn()224 for blob_id in range(1, n_blobs + 1):225 mask_blob = (blobs_labels == blob_id)226 mask_blob = np.ascontiguousarray(mask_blob, np.uint8)227 if fn_callback is None:228 sim_blob = super(InputReaderSemMatCoarsePerComponent, self)._simulate_coarse_label(mask_blob, delta)229 else:230 sim_blob = fn_callback(mask_blob, delta)231 simp_output = simp_output + sim_blob232 #233 return simp_output234class InputReaderSemMatClickSim(InputReaderSemMatCoarsePerComponent):235 def _simulate_click(self, mask, delta):236 all_zeros = not np.any(mask)237 if all_zeros:238 return mask239 radius = 6240 sim_mask = np.zeros_like(mask)241 properties = regionprops(mask.astype(np.int32))242 c_y, c_x = properties[0].centroid243 c_y = c_y + delta * np.random.normal()244 c_x = c_x + delta * np.random.normal()245 c_y = max(c_y, 0)246 c_x = max(c_x, 0)247 c_y = int(c_y)248 c_x = int(c_x)249 # --250 cv2.circle(sim_mask, (c_x, c_y), delta, 1, -1)251 return sim_mask252 def getSim_fn(self):253 return self._simulate_click254 def _simulate_coarse_label(self, mask, delta):255 return super(InputReaderSemMatClickSim, self)._simulate_coarse_label(mask, delta)256class InputReaderBdryMat(InputReaderBase):257 def __getitem__(self, item):258 filename = self._read_list[item]259 mat_path = os.path.join(self._in_path, filename + '.mat')260 matlab = scipy.io.loadmat(mat_path)261 boundaries = matlab['GTcls']['Boundaries']262 masks = [scipy.sparse.csr_matrix.todense(boundaries[0][0][c_id][0]) for c_id in range(0, 20)]263 assert len(masks) == self.n_classes[1], len(masks)...
io.py
Source:io.py
...7__all__ = ["DarkriftReader", "DarkriftWriter"]8class DarkriftReader(binio.BinaryReader):9 def __init__(self, b: Union[io.BytesIO, bytes]) -> None:10 super().__init__(b, binio.ByteOrder.BIG)11 def _read_list(12 self, read: Callable[[], types.DarkriftType]13 ) -> list[types.DarkriftType]:14 """15 Read a list of values.16 :param read: the reader method to read a single value17 """18 c = self.read_int32()19 v = []20 for i in range(c):21 v.append(read())22 return v23 def read_int8s(self) -> list[types.int8]:24 return self._read_list(self.read_int8) # type: ignore25 def read_uint8s(self) -> list[types.uint8]:26 return self._read_list(self.read_uint8) # type: ignore27 def read_int16s(self) -> list[types.int16]:28 return self._read_list(self.read_int16) # type: ignore29 def read_uint16s(self) -> list[types.uint16]:30 return self._read_list(self.read_uint16) # type: ignore31 def read_int32s(self) -> list[types.int32]:32 return self._read_list(self.read_int32) # type: ignore33 def read_uint32s(self) -> list[types.uint32]:34 return self._read_list(self.read_uint32) # type: ignore35 def read_int64s(self) -> list[types.int64]:36 return self._read_list(self.read_int64) # type: ignore37 def read_uint64s(self) -> list[types.uint64]:38 return self._read_list(self.read_uint64) # type: ignore39 def read_singles(self) -> list[float]:40 return self._read_list(self.read_single) # type: ignore41 def read_doubles(self) -> list[types.double]:42 return self._read_list(self.read_double) # type: ignore43 def read_byte(self) -> bytes:44 return self.read(1)45 def read_bytes(self) -> bytes:46 return self.read(self.read_int32())47 def read_string(self) -> str:48 return self.read_str(self.read_int32())49 def read_strings(self) -> list[str]:50 return self._read_list(self.read_string) # type: ignore51 def read_chars(self) -> str:52 return self.read_string()53class DarkriftWriter(binio.BinaryWriter):54 def __init__(self) -> None:55 super().__init__(binio.ByteOrder.BIG)56 @classmethod57 def from_stream(58 cls,59 stream: io.BytesIO,60 byte_order: Optional[binio.ByteOrder] = binio.ByteOrder.BIG,61 ) -> DarkriftWriter:62 writer = cls()63 writer._stream = stream64 return writer...
db.py
Source:db.py
...34 return sha256(gemurl.capsule_prefix(url).encode("us-ascii")).digest(), url35def read_orbit(orbit_dir):36 path = Path(orbit_dir) / "members.json"37 with fasteners.InterProcessReaderWriterLock(f"{path}.lock").read_lock():38 return _read_list(path)39def update_url_membership(orbit_dir, url, is_member):40 path = Path(orbit_dir) / "members.json"41 with fasteners.InterProcessReaderWriterLock(f"{path}.lock").write_lock():42 orbit = _read_list(path)43 was_member = url in orbit44 if is_member and not was_member:45 orbit = extend_orbit(orbit, url)46 elif not is_member and was_member:47 orbit.remove(url)48 _write_list(path, orbit)49 return was_member50def append_submission(orbit_dir, url):51 path = Path(orbit_dir) / "submissions.json"52 with fasteners.InterProcessLock(f"{path}.lock"):53 try:54 submissions = _read_list(path)55 except OSError:56 submissions = []57 if url not in submissions:58 submissions.append(url)59 _write_list(path, submissions)60def pop_submission(orbit_dir):61 path = Path(orbit_dir) / "submissions.json"62 with fasteners.InterProcessLock(f"{path}.lock"):63 submissions = _read_list(path)64 if not submissions:65 return None66 submission = submissions.pop(0)67 _write_list(path, submissions)68 return submission69def _read_list(path):70 if path.exists():71 with path.open("r", encoding="utf-8") as f:72 return json.load(f)73 else:74 return []75def _write_list(path, list_):76 if list_:77 with path.open("w", encoding="utf-8") as f:78 json.dump(list_, f, indent=4, sort_keys=True)79 else:...
Automation Testing Tutorials
Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
LambdaTest Learning Hubs:
- JUnit Tutorial
- TestNG Tutorial
- Webdriver Tutorial
- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
Run autotest automation tests on LambdaTest cloud grid
Perform automation testing on 3000+ real desktop and mobile devices online.
Try LambdaTest Now !!
Get 100 minutes of automation test minutes FREE!!
Was this article helpful?
