pipeline

Scrapy - Activating an Item Pipeline component - ITEM_PIPELINES setting

こ雲淡風輕ζ 提交于 2019-12-11 03:25:36
问题 In scrapy documentation there is this information: Activating an Item Pipeline component To activate an Item Pipeline component you must add its class to the ITEM_PIPELINES setting, like in the following example: ITEM_PIPELINES = { 'myproject.pipelines.PricePipeline': 300, 'myproject.pipelines.JsonWriterPipeline': 800, } The integer values you assign to classes in this setting determine the order they run in- items go through pipelines from order number low to high. It’s customary to define

C++ Partial template specialization - design simplification

好久不见. 提交于 2019-12-11 03:09:30
问题 I am working on a pipeline/dataflow design pattern. I have a class 'algorithm data output' ( AlgorithmOutput ) that acts as an interface between two connected network segments. In particular, it provides method templates getOutput<size_t N> that are used for the data output from an object of the type 'data transmitter'. The current design is based on the idea that users derive from the class AlgorithmOutput and provide a finite number of implementations of the method template getOutput<size_t

Image Processing Pipelining in VHDL

爷,独闯天下 提交于 2019-12-11 02:33:57
问题 I am currently trying to develop a Sobel filter in VHDL. I am using a 640x480 picture that is stored in a BRAM. The algorithm uses a 3x3 matrix of pixels of the image for processing each output pixel. My problem is that I currently only know of putting an image into a BRAM where each address of the BRAM holds one pixel value. This means I can only read one pixel per clock. My problem is that I am trying to pipeline the data so I would ideally need to be able to get three pixel values (one

Java PipedInputStream PipedOutputStream Size limitation

杀马特。学长 韩版系。学妹 提交于 2019-12-11 02:12:44
问题 I am using java pipeline to pass the data (outstream) from an unzip module (JavaUncompress class) to a parsing module (handler class), the file is large, I want to unzip the file first and parse directly instead of saving the unzipped file and then parse. However, it only works for file of small size. When I input an 1G file, it seems only part of the file (say 50000 lines) are piplined from the outstream to the inputstream of the parsing module. I tried to use a String to save the

Azure Data Factory - Multiple activities in Pipeline execution order

谁都会走 提交于 2019-12-10 22:25:14
问题 I have 2 blob files to copy to Azure SQL tables. My pipeline with two activities: { "name": "NutrientDataBlobToAzureSqlPipeline", "properties": { "description": "Copy nutrient data from Azure BLOB to Azure SQL", "activities": [ { "type": "Copy", "typeProperties": { "source": { "type": "BlobSource" }, "sink": { "type": "SqlSink", "writeBatchSize": 10000, "writeBatchTimeout": "60.00:00:00" } }, "inputs": [ { "name": "FoodGroupDescriptionsAzureBlob" } ], "outputs": [ { "name":

Why does tee wait for all subshells to finish?

流过昼夜 提交于 2019-12-10 21:20:23
问题 I have a server script that runs mysqld and forks to continue running. As an example: ./mysqld <parameters> & echo "Parent runs next line in script." <do more stuff> Why does tee wait for the child process to end before it ends itself? EDIT: For example, the following always hangs: ./myscript | tee -a logfile.log 回答1: Because it can't be sure it has tee'd all the output if the child process is still running (and still has its standard output open). Since the parent and child use the same

customized transformerMixin with data labels in sklearn

戏子无情 提交于 2019-12-10 19:50:54
问题 I'm working on a small project where I'm trying to apply SMOTE "Synthetic Minority Over-sampling Technique", where my data is imbalanced .. I created a customized transformerMixin for the SMOTE function .. class smote(BaseEstimator, TransformerMixin): def fit(self, X, y=None): print(X.shape, ' ', type(X)) # (57, 28) <class 'numpy.ndarray'> print(len(y), ' ', type) # 57 <class 'list'> smote = SMOTE(kind='regular', n_jobs=-1) X, y = smote.fit_sample(X, y) return X def transform(self, X): return

Add new fitted stage to a exitsting PipelineModel without fitting again

江枫思渺然 提交于 2019-12-10 19:16:28
问题 I would like to concatenate several trained Pipelines to one, which is similar to "Spark add new fitted stage to a exitsting PipelineModel without fitting again" however the solution as below is for PySpark. > pipe_model_new = PipelineModel(stages = [pipe_model , pipe_model2]) > final_df = pipe_model_new.transform(df1) In Apache Spark 2.0 "PipelineModel"'s constructor is marked as private, hence it can not be called outside. While in "Pipeline" class, only "fit" method creates "PipelineModel"

C# -Pipeline Style event model

ε祈祈猫儿з 提交于 2019-12-10 18:41:58
问题 In ASP.NET Web Apps , events are fired in particluar order : for simplicity Load => validation =>postback =>rendering Suppose I want to develop such pipeline -styled event Example : Event 1 [ "Audiance are gathering" ,Guys{ Event 2 and Event 3 Please wait until i signal }] after Event 1 finished it task Event 2 [ { Event 2, Event 3 "Audiance gathered! My task is over } ] Event 2 is taking over the control to perform its task Event 2 [ " Audiance are Logging in " Event 3 please wait until i

HexDecoder output empty

99封情书 提交于 2019-12-10 18:33:37
问题 I'm having a bit of an issue with cryptopp562 (on Debian for what it matters) I have a hex string and am trying to convert it to a decimal int. I'm using the HexDecoder in cryptopp (since I'm already using cryptopp for other things in the project). Since I don't know of a way to go straight from a hex string to a decimal int in one step, I have an intermediate step of decimal string. So it goes Hex string > Decimal string > Decimal int However my pipeline appears to be incorrect, but I can't