pipeline

问题 I'm adding error handling to my small C program and I've gotten it to work with fork and for execvp but not for dup2. int spawn_proc (int in, int out, struct command *cmd) { pid_t pid; if ((pid = fork ()) == 0) { if (in != 0) { dup2 (in, 0); close (in); } if (out != 1) { dup2 (out, 1); close (out); } if (execvp(cmd->argv [0], (char * const *)cmd->argv) < 0) { perror("execvp failed"); exit(1); } } else if (pid < 0) { perror("fork failed"); exit(1); } return pid; } How should perror be used

问题 I am trying to create a spider that fetches all the urls from one domain and create a record of the domain name and all the headers across the urls on this domain. This is a continuation of a previous question. I managed to get help, and understand that I need to use Item pipeline in the scrapy framework to achieve this. I create a dict/hash in the items-pipeline where I store domain name and append all the headers. The error I receive is: unhashable type 'list' spider.py class MySpider

问题 This is a follow-up question to this question. I have a list of compressed *.bz files whose content I push through a pipe as follows: result=$(find . -name '*bz2' -exec bzcat {} + \ | tee >( some | other | pipeline ) \ | grep -e "myString" \ | wc -l) echo "${result} occurrences found" This will process the decompressed contents of the files with a sub-pipeline (some | other | pipeline) and at the same time count and return the occurrences of the string myString . The pipeline works but now I

问题 After passing the Pcollection to the next transform, the return/yield of the Transform is being multiplied, when I only need a single KV pair for a given street and accident count. My understanding is that generators can assist in this, by holding values, but that only solves part of my problem. I've attempted to determine size prior to sending to next transform, but I haven't found any methods that give me true size of the Pcollection elements being passed. class CountAccidents(beam.DoFn):

问题 I think I'm having issues getting my vectorizer working within a gridsearch pipeline: data as panda df x_train: bathrooms bedrooms price building_id manager_id 10 1.5 3 3000 53a5b119ba8f7b61d4e010512e0dfc85 5ba989232d0489da1b5f2c45f6688adc 10000 1.0 2 5465 c5c8a357cba207596b04d1afd1e4f130 7533621a882f71e25173b27e3139d83d 100004 1.0 1 2850 c3ba40552e2120b0acfc3cb5730bb2aa d9039c43983f6e564b1482b273bd7b01 100007 1.0 1 3275 28d9ad350afeaab8027513a3e52ac8d5 1067e078446a7897d2da493d2f741316 100013

问题 I am preparing for a test and have such example. Following code: 1: SLL $1, $1, 2 2: LW $2, 1000($1) 3: BEQL $2, $0, END 4: ADDI $3, $2, 1 5: MULT $3, $2 6: MFLO $4 END: 7: J QUIT ... QUIT: 100: NOP is executed on RISC processor (with quasi MIPS instruction set) with five-stage pipeline no bypassing no dynamic scheduling Branch Delay Slot Additionally we know, that branch won't be taken My task is to understand how the Branch Delay Slot works in this situation and build the correct Pipeline

问题 Looking for explanation how to using named elements in respect with muxing two inputs in one module. For instance muxing audio and video in one mpegtsmux modle gst-launch filesrc location=surround.mp4 ! decodebin name=dmux ! queue ! audioconvert ! lamemp3enc dmux. ! queue ! x264enc ! mpegtsmux name=mux ! queue ! filesink location=out.ts Above pipeline gives plugins interconnection like below So it shows audio doesn't connect to mpegtsmus. How to modify command line to have audio and video

问题 This Q&A established that the powershell pipeline unrolls some collections sometimes. Suppose we have a function that emits a collection that might get unrolled, but we don't want the pipeline to do any unrolling. Here is an example demonstrating the unwanted unrolling: Function EmitStack{ [Cmdletbinding()] param() process{[System.Collections.Stack]@(10,20,30)} } $stack = [System.Collections.Stack]@(10,20,30) $stack.GetType() $EmittedStack = EmitStack $EmittedStack.GetType() #Name BaseType #-

问题 I am having scope issues with returning a Scrapy item (players) in my pipeline. I'm fairly certain I know what the issue is but I'm not sure how to integrate the solution into my code. I am also certain that I now have the code correctly written for the pipeline to process. It's just I've declared the players item inside the parseRoster() function so I know it's scope is only limited to that function. Now my question is, where do I need to declare a players item in my code for it to be

问题 I wrote the following code for logistic regression, I want to use the pipeline API provided by spark.ml . However it gave me an error after I try to print coefficients and intercepts. Also I am having trouble computing the confusion matrix and other metrics like precision, recall. #Logistic Regression: from pyspark.mllib.linalg import Vectors from pyspark.ml.classification import LogisticRegression from pyspark.sql import SQLContext from pyspark import SparkContext from pyspark.sql.types