runtime-error

Fortran 90 - Attempt to read past end of file

此生再无相见时 提交于 2021-02-20 16:56:07
问题 I am having a read issue in Fortran 90. I am attempting to read 31488 rows of data. I am using the Portland Group Fortran 90 compiler. My error message is this: PGFIO-F-217/list-directed read/unit=14/attempt to read past end of file. File name = /import/c/w/username/WRFV3/SKILLSETS/Overestimations.txt formatted, sequential access record = 31489 The Fortran program thinks that I have an extra row. I do not know where that is indicated in the code. I have attached the relevant part of the code.

Start new Activity outside the Activity context.

三世轮回 提交于 2021-02-19 01:39:11
问题 I tried to start an Activity and close other in my AsyncTask class ( onPostExecute() ). My code : Intent i = new Intent(parentActivity, ThunderHunter.class); c.startActivity(i); parentActivity.finish(); But it doesn't work, logcat shows : 08-01 18:01:27.640: E/AndroidRuntime(12398): android.util.AndroidRuntimeException: Calling startActivity() from outside of an Activity context requires the FLAG_ACTIVITY_NEW_TASK flag. Is this really what you want? 08-01 18:01:27.640: E/AndroidRuntime(12398)

Hadoop MapReduce job I/O Exception due to premature EOF from inputStream

拈花ヽ惹草 提交于 2021-02-18 22:50:42
问题 I ran a MapReduce program using the command hadoop jar <jar> [mainClass] path/to/input path/to/output . However, my job was hanging at: INFO mapreduce.Job: map 100% reduce 29% . Much later, I terminated and checked the datanode log (I am running in pseudo-distributed mode). It contained the following exception: java.io.IOException: Premature EOF from inputStream at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:201) at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver

Hadoop MapReduce job I/O Exception due to premature EOF from inputStream

☆樱花仙子☆ 提交于 2021-02-18 22:49:18
问题 I ran a MapReduce program using the command hadoop jar <jar> [mainClass] path/to/input path/to/output . However, my job was hanging at: INFO mapreduce.Job: map 100% reduce 29% . Much later, I terminated and checked the datanode log (I am running in pseudo-distributed mode). It contained the following exception: java.io.IOException: Premature EOF from inputStream at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:201) at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver

javax.naming.NameNotFoundException: Name [comp/env] is not bound in this Context. Unable to find [comp] error with java scheduler

时光总嘲笑我的痴心妄想 提交于 2021-02-17 19:21:05
问题 What I'm trying to do is to update my database after a period of time. So I'm using java scheduler and connection pooling. I don't know why but my code only working once. It will print: init success success javax.naming.NameNotFoundException: Name [comp/env] is not bound in this Context. Unable to find [comp]. at org.apache.naming.NamingContext.lookup(NamingContext.java:820) at org.apache.naming.NamingContext.lookup(NamingContext.java:168) at org.apache.naming.SelectorContext.lookup

Pytorch RuntimeError: Expected object of device type cuda but got device type cpu for argument #1 'self' in call to _th_index_select

帅比萌擦擦* 提交于 2021-02-11 14:37:48
问题 I am training a model that takes tokenized strings which are then passed through an embedding layer and an LSTM thereafter. However, there seems to be an error in the input, as it does not pass through the embedding layer. class DrugModel(nn.Module): def __init__(self, input_dim, output_dim, hidden_dim, drug_embed_dim, lstm_layer, lstm_dropout, bi_lstm, linear_dropout, char_vocab_size, char_embed_dim, char_dropout, dist_fn, learning_rate, binary, is_mlp, weight_decay, is_graph, g_layer, g

Pytorch RuntimeError: Expected object of device type cuda but got device type cpu for argument #1 'self' in call to _th_index_select

折月煮酒 提交于 2021-02-11 14:35:05
问题 I am training a model that takes tokenized strings which are then passed through an embedding layer and an LSTM thereafter. However, there seems to be an error in the input, as it does not pass through the embedding layer. class DrugModel(nn.Module): def __init__(self, input_dim, output_dim, hidden_dim, drug_embed_dim, lstm_layer, lstm_dropout, bi_lstm, linear_dropout, char_vocab_size, char_embed_dim, char_dropout, dist_fn, learning_rate, binary, is_mlp, weight_decay, is_graph, g_layer, g

Python <function at 0x> output [duplicate]

北战南征 提交于 2021-02-11 06:31:52
问题 This question already has answers here : “Function ________ at 0x01D57aF0” return in python (2 answers) Closed 4 years ago . I wrote a new function and when I execute it, I get an error: <function read_grades at 0x000001F69E0FC8C8> Ok so here is my code: def add(x, y): z = x / y * 100 return z def calc_grade(perc): if perc < 50: return "1" if perc < 60: return "2" if perc < 75: return "3" if perc < 90: return "4" if perc >= 90: return "5" def calc_command(): num1 = input("Input your points: "

Python <function at 0x> output [duplicate]

淺唱寂寞╮ 提交于 2021-02-11 06:31:33
问题 This question already has answers here : “Function ________ at 0x01D57aF0” return in python (2 answers) Closed 4 years ago . I wrote a new function and when I execute it, I get an error: <function read_grades at 0x000001F69E0FC8C8> Ok so here is my code: def add(x, y): z = x / y * 100 return z def calc_grade(perc): if perc < 50: return "1" if perc < 60: return "2" if perc < 75: return "3" if perc < 90: return "4" if perc >= 90: return "5" def calc_command(): num1 = input("Input your points: "

Vimeo Networking Library Crash for Android 10 platform (api29)

爱⌒轻易说出口 提交于 2021-02-10 06:16:10
问题 I implemented vimeo networking using vimeo networking library(https://github.com/vimeo/vimeo-networking-java), exoplayer and explained in this post https://stackoverflow.com/a/65737556/8814924 Now the problem is when I was checking with API 30 it was getting error java.lang.RuntimeException: Unable to start activity ComponentInfo{com.emergingit.emergingstudy/com.emergingit.emergingstudy.activities.course.ExoPlayerActivity}: java.lang.IllegalStateException: Unable to extract the trust manager