# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys import subprocess import multiprocessing import math import platform """ please make sure to run in the tools path usage: python sample_test.py {arg1} arg1: the first arg defined running in gpu version or cpu version for example, you can run cpu version python2 testing like this: python sampcd_processor.py cpu """ def find_all(srcstr, substr): """ to find all desired substring in the source string and return their starting indices as a list Args: srcstr(str): the parent string substr(str): substr Returns: list: a list of the indices of the substrings found """ indices = [] gotone = srcstr.find(substr) while (gotone != -1): indices.append(gotone) gotone = srcstr.find(substr, gotone + 1) return indices def check_indent(cdline): """ to check the indent of a given code line to get the number of starting blank chars, e.t. blankspaces and \t \t will be interpreted as 4 single blankspaces, e.t. '\t'=' ' Args: cdline(str) : a single line of code from the source file Returns: int : the indent of the number of interpreted blankspaces """ indent = 0 for c in cdline: if c == '\t': indent += 4 elif c == ' ': indent += 1 if c != ' ' and c != '\t': break return indent # srccom: raw comments in the source,including ''' and original indent def sampcd_extract_and_run(srccom, name, htype="def", hname=""): """ Extract and run sample codes from source comment and the result will be returned. Args: srccom(str): the source comment of some API whose example codes will be extracted and run. name(str): the name of the API. htype(str): the type of hint banners, def/class/method. hname(str): the name of the hint banners , e.t. def hname. Returns: result: True or False """ result = True def sampcd_header_print(name, sampcd, htype, hname): """ print hint banner headers. Args: name(str): the name of the API. sampcd(str): sample code string htype(str): the type of hint banners, def/class/method. hname(str): the name of the hint banners , e.t. def hname. flushed. """ print_header(htype, hname) print("Sample code ", str(y), " extracted for ", name, " :") print(sampcd) print("----example code check----\n") print("executing sample code .....") print("execution result:") sampcd_begins = find_all(srccom, " code-block:: python") if len(sampcd_begins) == 0: print_header(htype, hname) ''' detect sample codes using >>> to format and consider this situation as wrong ''' if srccom.find("Examples:") != -1: print("----example code check----\n") if srccom.find(">>>") != -1: print( "Deprecated sample code style:\n\n Examples:\n\n >>>codeline\n >>>codeline\n\n\n ", "Please use '.. code-block:: python' to ", "format sample code.\n") result = False else: print("Error: No sample code!\n") result = False for y in range(1, len(sampcd_begins) + 1): sampcd_begin = sampcd_begins[y - 1] sampcd = srccom[sampcd_begin + len(" code-block:: python") + 1:] sampcd = sampcd.split("\n") # remove starting empty lines while sampcd[0].replace(' ', '').replace('\t', '') == '': sampcd.pop(0) # the minimum indent, which is the indent of the first # non-empty line min_indent = check_indent(sampcd[0]) sampcd_to_write = [] for i in range(0, len(sampcd)): cdline = sampcd[i] # handle empty lines or those only with spaces/tabs if cdline.strip() == '': continue this_indent = check_indent(cdline) if this_indent < min_indent: break else: cdline = cdline.replace('\t', ' ') sampcd_to_write.append(cdline[min_indent:]) sampcd = '\n'.join(sampcd_to_write) if sys.argv[1] == "cpu": sampcd = '\nimport os\n' + 'os.environ["CUDA_VISIBLE_DEVICES"] = ""\n' + sampcd if sys.argv[1] == "gpu": sampcd = '\nimport os\n' + 'os.environ["CUDA_VISIBLE_DEVICES"] = "0"\n' + sampcd sampcd += '\nprint(' + '\"' + name + ' sample code is executed successfully!\")' if len(sampcd_begins) > 1: tfname = name + "_example_" + str(y) + ".py" else: tfname = name + "_example" + ".py" tempf = open("samplecode_temp/" + tfname, 'w') tempf.write(sampcd) tempf.close() if platform.python_version()[0] == "2": cmd = ["python", "samplecode_temp/" + tfname] elif platform.python_version()[0] == "3": cmd = ["python3", "samplecode_temp/" + tfname] else: print("Error: fail to parse python version!") result = False exit(1) subprc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) output, error = subprc.communicate() msg = "".join(output.decode(encoding='utf-8')) err = "".join(error.decode(encoding='utf-8')) if subprc.returncode != 0: print("\nSample code error found in ", name, ":\n") sampcd_header_print(name, sampcd, htype, hname) print("subprocess return code: ", str(subprc.returncode)) print("Error Raised from Sample Code ", name, " :\n") print(err) print(msg) result = False # msg is the returned code execution report os.remove("samplecode_temp/" + tfname) return result def single_defcom_extract(start_from, srcls, is_class_begin=False): """ to extract a def function/class/method comments body Args: start_from(int): the line num of "def" header srcls(list): the source file in lines is_class_begin(bool): whether the start_from is a beginning a class. \ For a sole class body itself may end up with its method if it has no docstring. But the body of \ a common def function can only be ended up by a none-indented def/class Returns: string : the extracted comment body, inclusive of its quote marks. """ i = start_from fcombody = "" # def comment body comstart = -1 # the starting line index of comment mark "'''" or """""" # if it is not -1, it indicates the loop is in the comment body comstyle = 0 # comment mark style ,comments quoted with ''' is coded as 1 # comments quoted with """ is coded as 2 for x in range(i + 1, len(srcls)): if is_class_begin: if srcls[x].replace('\t', ' ').startswith(' def '): break if srcls[x].startswith('def ') or srcls[x].startswith('class '): break else: if (comstart == -1 and srcls[x].replace(" ", '').replace( "\t", '').replace("\n", '').startswith("\"\"\"")): comstart = x comstyle = 2 continue if (comstyle == 2 and comstart != -1 and srcls[x].replace(" ", '').replace("\t", '').replace( "\n", '').startswith("\"\"\"")): break if (comstart == -1 and srcls[x].replace(" ", '').replace( "\t", '').replace("\n", '').startswith("\'\'\'")): comstart = x comstyle = 1 continue if (comstyle == 1 and comstart != -1 and srcls[x].replace(" ", '').replace("\t", '').replace( "\n", '').startswith("\'\'\'")): break if (comstart != -1): # when the comments start, begin to add line to fcombody fcombody += srcls[x] return fcombody def print_header(htype, name): print(htype, " name:", name) print("-----------------------") def srccoms_extract(srcfile, wlist): """ Given a source file ``srcfile``, this function will extract its API(doc comments) and run sample codes in the API. Args: srcfile(file): the source file wlist(list): white list Returns: result: True or False """ process_result = True srcc = srcfile.read() # 2. get defs and classes header line number # set file pointer to its beginning srcfile.seek(0, 0) srcls = srcfile.readlines() # source lines # 1. fetch__all__ list allidx = srcc.find("__all__") if allidx != -1: alllist = [] # get all list for layers/ops.py if srcfile.name.find("ops.py") != -1: for ai in range(0, len(srcls)): if srcls[ai].startswith("__all__"): lb = srcls[ai].find('[') rb = srcls[ai].find(']') if lb == -1: continue allele = srcls[ai][lb + 1:rb].replace("'", '').replace( " ", '').replace("\"", '') alllist.append(allele) if '' in alllist: alllist.remove('') else: alllist_b = allidx + len("__all__") allstr = srcc[alllist_b + srcc[alllist_b:].find("[") + 1:alllist_b + srcc[alllist_b:].find("]")] allstr = allstr.replace("\n", '').replace(" ", '').replace( "'", '').replace("\"", '') alllist = allstr.split(',') if '' in alllist: alllist.remove('') api_alllist_count = len(alllist) api_count = 0 handled = [] # get src contents in layers/ops.py if srcfile.name.find("ops.py") != -1: for i in range(0, len(srcls)): if srcls[i].find("__doc__") != -1: opname = srcls[i][:srcls[i].find("__doc__") - 1] if opname in wlist: continue comstart = i for j in range(i, len(srcls)): if srcls[j].find("\"\"\"") != -1: comstart = i opcom = "" for j in range(comstart + 1, len(srcls)): opcom += srcls[j] if srcls[j].find("\"\"\"") != -1: break process_result = sampcd_extract_and_run(opcom, opname, "def", opname) api_count += 1 handled.append( opname) # ops.py also has normal formatted functions # use list 'handled' to mark the functions have been handled here # which will be ignored in the following step for i in range(0, len(srcls)): if srcls[i].startswith( 'def '): # a function header is detected in line i f_header = srcls[i].replace(" ", '') fn = f_header[len('def'):f_header.find('(')] # function name if fn in handled: continue if fn in alllist: api_count += 1 if fn in wlist or fn + "@" + srcfile.name in wlist: continue fcombody = single_defcom_extract(i, srcls) if fcombody == "": # if no comment print_header("def", fn) print("WARNING: no comments in function ", fn, ", but it deserves.") continue else: if not sampcd_extract_and_run(fcombody, fn, "def", fn): process_result = False if srcls[i].startswith('class '): c_header = srcls[i].replace(" ", '') cn = c_header[len('class'):c_header.find('(')] # class name if cn in handled: continue if cn in alllist: api_count += 1 if cn in wlist or cn + "@" + srcfile.name in wlist: continue # class comment classcom = single_defcom_extract(i, srcls, True) if classcom != "": if not sampcd_extract_and_run(classcom, cn, "class", cn): process_result = False else: print("WARNING: no comments in class itself ", cn, ", but it deserves.\n") # handling methods in class bodies for x in range( i + 1, len(srcls)): # from the next line of class header if (srcls[x].startswith('def ') or srcls[x].startswith('class ')): break else: # member method def header srcls[x] = srcls[x].replace('\t', ' ') if (srcls[x].startswith( ' def ')): # detect a mehtod header.. thisl = srcls[x] indent = len(thisl) - len(thisl.lstrip()) mn = thisl[indent + len('def '):thisl.find( '(')] # method name name = cn + "." + mn # full name if mn.startswith('_'): continue if name in wlist or name + "@" + srcfile.name in wlist: continue thismethod = [thisl[indent:] ] # method body lines # get all the lines of a single method body # into thismethod(list) # and send it to single_defcom_extract for y in range(x + 1, len(srcls)): srcls[y] = srcls[y].replace('\t', ' ') if (srcls[y].startswith('def ') or srcls[y].startswith('class ')): # end of method break elif srcls[y].startswith(' def '): # end of method break else: thismethod.append(srcls[y][indent:]) thismtdcom = single_defcom_extract(0, thismethod) if thismtdcom != "": if not sampcd_extract_and_run( thismtdcom, name, "method", name): process_result = False return process_result def test(file_list): process_result = True for file in file_list: with open(file, 'r') as src: if not srccoms_extract(src, wlist): process_result = False return process_result ''' Important constant lists: filenames : the modules pending for check . wlist : a list of API that should not trigger the example check . It is composed of wlist_temp + wlist_inneed + wlist_ignore. srcfile: the source .py code file ''' filenames = [ "../python/paddle/fluid/layers/control_flow.py", "../python/paddle/fluid/layers/io.py", "../python/paddle/fluid/layers/nn.py", "../python/paddle/fluid/layers/ops.py", "../python/paddle/fluid/layers/tensor.py", "../python/paddle/fluid/layers/learning_rate_scheduler.py", "../python/paddle/fluid/layers/detection.py", "../python/paddle/fluid/layers/metric_op.py" ] filenames += [ "../python/paddle/fluid/dygraph/layers.py", "../python/paddle/fluid/dygraph/base.py", "../python/paddle/fluid/dygraph/nn.py", "../python/paddle/fluid/dygraph/tracer.py", "../python/paddle/fluid/dygraph/profiler.py", "../python/paddle/fluid/dygraph/parallel.py", "../python/paddle/fluid/dygraph/checkpoint.py", "../python/paddle/fluid/dygraph/learning_rate_scheduler.py", "../python/paddle/fluid/dygraph/backward_strategy.py" ] filenames += [ "../python/paddle/fluid/data_feeder.py", "../python/paddle/fluid/dataset.py", "../python/paddle/fluid/clip.py", "../python/paddle/fluid/metrics.py", "../python/paddle/fluid/executor.py", "../python/paddle/fluid/initializer.py", "../python/paddle/fluid/io.py", "../python/paddle/fluid/nets.py", "../python/paddle/fluid/optimizer.py", "../python/paddle/fluid/profiler.py", "../python/paddle/fluid/regularizer.py", "../python/paddle/fluid/backward.py", "../python/paddle/fluid/average.py", "../python/paddle/fluid/unique_name.py", "../python/paddle/fluid/framework.py", "../python/paddle/fluid/evaluator.py", "../python/paddle/fluid/param_attr.py" ] wlist_inneed = [ "append_LARS", "BuildStrategy.debug_graphviz_path", "BuildStrategy.enable_sequential_execution", "BuildStrategy.fuse_elewise_add_act_ops", "BuildStrategy.fuse_relu_depthwise_conv", "BuildStrategy.gradient_scale_strategy", "BuildStrategy.reduce_strategy", "BuildStrategy.remove_unnecessary_lock", "BuildStrategy.sync_batch_norm", "DynamicRNN.step_input", "DynamicRNN.static_input", "DynamicRNN.block", "DynamicRNN.update_memory", "DynamicRNN.output", "transpiler.DistributeTranspilerConfig", "transpiler.DistributeTranspilerConfig.slice_var_up", "transpiler.DistributeTranspilerConfig.split_method", "transpiler.DistributeTranspilerConfig.min_block_size", "DistributeTranspilerConfig.slice_var_up", "DistributeTranspilerConfig.split_method", "ModelAverage.apply", "ModelAverage.restore", "DistributeTranspilerConfig", "DistributeTranspilerConfig.min_block_size", "ExecutionStrategy.allow_op_delay", "load", "Accuracy.update", "ChunkEvaluator.update", "ExecutionStrategy.num_iteration_per_drop_scope", "ExecutionStrategy.num_threads", "CompiledProgram._with_inference_optimize", "CompositeMetric.add_metric", "CompositeMetric.update", "CompositeMetric.eval", "DetectionMAP.get_map_var", "MetricBase", "MetricBase.reset", "MetricBase.get_config", "MetricBase.update", "MetricBase.eval", "Accuracy.eval", "Auc.update", "Auc.eval", "EditDistance.update", "EditDistance.eval", "ExponentialMovingAverage.apply", "ExponentialMovingAverage.restore", "ExponentialMovingAverage.update", "StaticRNN.step", "StaticRNN.step_input", "StaticRNN.step_output", "StaticRNN.update_memory", "DetectionMAP.reset", 'StaticRNN.output', "cuda_places", "CUDAPinnedPlace", "CUDAPlace", "Program.parse_from_string" ] wlist_temp = [ 'ChunkEvaluator', 'EditDistance', 'ErrorClipByValue', 'Program.clone', 'cuda_pinned_places', 'DataFeeder', 'elementwise_floordiv', 'Layer', 'Layer.create_parameter', 'Layer.create_variable', 'Layer.sublayers', 'Layer.add_parameter', 'Layer.add_sublayer', 'Layer.parameters', 'Tracer', 'Layer.full_name', 'InMemoryDataset', 'layer_norm', 'bipartite_match', 'double_buffer', 'cumsum', 'thresholded_relu', 'group_norm', 'random_crop', 'py_func', 'row_conv', 'hard_shrink', 'ssd_loss', 'retinanet_target_assign', 'InMemoryDataset.global_shuffle', 'InMemoryDataset.get_memory_data_size', 'DetectionMAP', 'hash', 'InMemoryDataset.set_queue_num', 'LayerNorm', 'Preprocessor', 'chunk_eval', 'GRUUnit', 'ExponentialMovingAverage', 'QueueDataset.global_shuffle', 'NumpyArrayInitializer', 'create_py_reader_by_data', 'InMemoryDataset.local_shuffle', 'InMemoryDataset.get_shuffle_data_size', 'size', 'edit_distance', 'nce', 'BilinearInitializer', 'NaturalExpDecay', 'noam_decay', 'retinanet_detection_output', 'Pool2D', 'PipelineOptimizer', 'generate_mask_labels', 'isfinite', 'InMemoryDataset.set_fleet_send_batch_size', 'cuda_profiler', 'unfold', 'Executor', 'InMemoryDataset.load_into_memory', 'ExponentialDecay', 'BatchNorm', 'deformable_conv', 'InMemoryDataset.preload_into_memory', 'py_reader', 'linear_lr_warmup', 'InMemoryDataset.wait_preload_done', 'CosineDecay', 'roi_perspective_transform', 'unique', 'ones_like', 'LambOptimizer', 'InMemoryDataset.release_memory', 'Conv2DTranspose', 'QueueDataset.local_shuffle', # wrong in dygraph/checkpoint.py ok in io.py [duplicated name] 'save_persistables@dygraph/checkpoint.py', 'load_persistables@dygraph/checkpoint.py' ] ''' white list of private API/ redundant API ''' wlist_ignore = [ 'elementwise_pow', 'WeightedAverage.reset', 'ChunkEvaluator.eval', 'NCE.forward', 'elementwise_div', 'BilinearTensorProduct.forward', 'NoamDecay.step', 'elementwise_min', 'PiecewiseDecay.step', 'Conv3DTranspose.forward', 'elementwise_add', 'IfElse.output', 'IfElse.true_block', 'InverseTimeDecay.step', 'PolynomialDecay.step', 'Precision.eval', 'enabled', 'elementwise_max', 'stop_gperf_profiler', 'IfElse.false_block', 'WeightedAverage.add', 'Auc.trapezoid_area', 'elementwise_mul', 'GroupNorm.forward', 'SpectralNorm.forward', 'elementwise_sub', 'Switch.case', 'IfElse.input', 'prepare_context', 'PRelu.forward', 'Recall.update', 'start_gperf_profiler', 'TreeConv.forward', 'Conv2D.forward', 'Switch.default', 'elementwise_mod', 'Precision.update', 'WeightedAverage.eval', 'Conv3D.forward', 'Embedding.forward', 'Recall.eval', 'FC.forward', 'While.block' ] # only white on CPU gpu_not_white = [ "deformable_conv", "cuda_places", "CUDAPinnedPlace", "CUDAPlace", "cuda_profiler" ] wlist = wlist_temp + wlist_inneed + wlist_ignore if len(sys.argv) < 2: print("Error: inadequate number of arguments") print('''If you are going to run it on "CPU: >>> python sampcd_processor.py cpu "GPU: >>> python sampcd_processor.py gpu ''') sys.exit("lack arguments") else: if sys.argv[1] == "gpu": for _gnw in gpu_not_white: wlist.remove(_gnw) elif sys.argv[1] != "cpu": print("Unrecognized argument:'", sys.argv[1], "' , 'cpu' or 'gpu' is ", "desired\n") sys.exit("Invalid arguments") print("API check -- Example Code") print("sample_test running under python", platform.python_version()) if not os.path.isdir("./samplecode_temp"): os.mkdir("./samplecode_temp") cpus = multiprocessing.cpu_count() one_part_filenum = int(math.ceil(len(filenames) / cpus)) divided_file_list = [ filenames[i:i + one_part_filenum] for i in range(0, len(filenames), one_part_filenum) ] po = multiprocessing.Pool() results = po.map_async(test, divided_file_list) po.close() po.join() result = results.get() # delete temp files for root, dirs, files in os.walk("./samplecode_temp"): for fntemp in files: os.remove("./samplecode_temp/" + fntemp) os.rmdir("./samplecode_temp") print("----------------End of the Check--------------------") for temp in result: if not temp: print("Mistakes found in sample codes") exit(1) print("Sample code check is successful!")