python-2.7

Python - Tkinter Label Output?

会有一股神秘感。 提交于 2021-01-29 01:57:31
问题 How would I take my entries from Tkinter, concatenate them, and display them in the Label below (next to 'Input Excepted: ')? I have only been able to display them input in the python console running behind the GUI. Is there a way my InputExcept variable can be shown in the Label widget? from Tkinter import * master = Tk() master.geometry('200x90') master.title('Input Test') def UserName(): usrE1 = usrE.get() usrN2 = usrN.get() InputExcept = usrE1 + " " + usrN2 print InputExcept usrE = Entry

Dask-distributed. How to get task key ID in the function being calculated?

旧街凉风 提交于 2021-01-29 00:58:18
问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

Dask-distributed. How to get task key ID in the function being calculated?

删除回忆录丶 提交于 2021-01-29 00:56:11
问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

Dask-distributed. How to get task key ID in the function being calculated?

≡放荡痞女 提交于 2021-01-29 00:52:45
问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

Dask-distributed. How to get task key ID in the function being calculated?

三世轮回 提交于 2021-01-29 00:50:08
问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

Issue in using snappy with avro in python

◇◆丶佛笑我妖孽 提交于 2021-01-29 00:47:02
问题 I am reading the .gz file and converting to AVRO format. When I was using the codec='deflate' . It is working fine. i.e., I was able to convert to avro format. When I use codec='snappy' it is throwing an error stating below: raise DataFileException("Unknown codec: %r" % codec) avro.datafile.DataFileException: Unknown codec: 'snappy' with deflate --> working fine writer = DataFileWriter(open(avro_file, "wb"), DatumWriter(), schema, codec='deflate') with snappy --> throwing an error writer =

Issue in using snappy with avro in python

萝らか妹 提交于 2021-01-29 00:45:30
问题 I am reading the .gz file and converting to AVRO format. When I was using the codec='deflate' . It is working fine. i.e., I was able to convert to avro format. When I use codec='snappy' it is throwing an error stating below: raise DataFileException("Unknown codec: %r" % codec) avro.datafile.DataFileException: Unknown codec: 'snappy' with deflate --> working fine writer = DataFileWriter(open(avro_file, "wb"), DatumWriter(), schema, codec='deflate') with snappy --> throwing an error writer =

Issue in using snappy with avro in python

假如想象 提交于 2021-01-29 00:41:47
问题 I am reading the .gz file and converting to AVRO format. When I was using the codec='deflate' . It is working fine. i.e., I was able to convert to avro format. When I use codec='snappy' it is throwing an error stating below: raise DataFileException("Unknown codec: %r" % codec) avro.datafile.DataFileException: Unknown codec: 'snappy' with deflate --> working fine writer = DataFileWriter(open(avro_file, "wb"), DatumWriter(), schema, codec='deflate') with snappy --> throwing an error writer =

tornado how to use WebSockets with wsgi

只愿长相守 提交于 2021-01-28 23:32:26
问题 I am trying to make a game server with python, using tornado. The problem is that WebSockets don't seem to work with wsgi. wsgi_app = tornado.wsgi.WSGIAdapter(app) server = wsgiref.simple_server.make_server('', 5000, wsgi_app) server.serve_forever() After looking trough this answer on stackoverflow, Running Tornado in apache, I've updated my code to use a HTTPServer , which works with websockets. server = tornado.httpserver.HTTPServer(app) server.listen(5000) tornado.ioloop.IOLoop.instance()

tornado how to use WebSockets with wsgi

本秂侑毒 提交于 2021-01-28 23:30:56
问题 I am trying to make a game server with python, using tornado. The problem is that WebSockets don't seem to work with wsgi. wsgi_app = tornado.wsgi.WSGIAdapter(app) server = wsgiref.simple_server.make_server('', 5000, wsgi_app) server.serve_forever() After looking trough this answer on stackoverflow, Running Tornado in apache, I've updated my code to use a HTTPServer , which works with websockets. server = tornado.httpserver.HTTPServer(app) server.listen(5000) tornado.ioloop.IOLoop.instance()