Jan Vlčinský vlcinsky

## pyproject.toml
[tool.poetry]
name = "pytestver"
version = "0.1.0"
description = ""
authors = ["Jan Vlcinsky <jan.vlcinsky@tamtamresearch.com>"]

[tool.poetry.dependencies]
python = "^3.10"

[tool.poetry.dev-dependencies]

## pyproject.toml
[tool.poetry]
name = "jinjatest"
version = "0.1.0"
description = ""
authors = ["Jan Vlcinsky <jan.vlcinsky@tamtamresearch.com>"]

[tool.poetry.dependencies]
python = "^3.7"

[tool.poetry.dev-dependencies]

## test_s3_json_bucket.py
import json

import boto3


class S3JsonBucket:
    def __init__(self, bucket_name):
        self.bucket = boto3.resource("s3").Bucket(bucket_name)

    def load(self, key):

## dodo.py
import os


def task_one():
    def create_cmd_string(a, b, target):
        return "echo a: %s b: %s  > %s" % (a, b, target)

    with open("list_of_input_filenames.txt") as f:
        fnames = [line.strip() for line in f.readlines() if line]
    for a in fnames:

## keybase.md

      
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                vlcinsky
                / keybase.md
            
            
              Created
              October 8, 2017 18:23
            
          
    Keybase proof

I hereby claim:

I am vlcinsky on github.
I am vlcinsky (https://keybase.io/vlcinsky) on keybase.
I have a public key ASCnbRr-ve9t3Vb2dPBwo8lMftVKos2jXs4Q6PlcgfZw4go

To claim this, I am signing this object:

  
## app.py
import web
import time

urls = (
    "/",    "streamer",
    )
app = web.application(urls, globals())


class streamer:

## csv2sql.py
"""
Usage:
    csv2sql.py [--table <tablename>] <csvfile>

Options:
    --table <tablename>  Name of table in database to import into [default: mytable]

Convert csv file with iperf data into sql script for importing
those data into MySQL database.
"""

## placfun.py
""" A study, how to create plac annotated command line script from bare function
preserving original function intact.

This is sometime needed, when the same function is used for call e.g. by a celery,
and for manual testing it is handy to have it in command line version.

Usually, the code (producing only annotated command line tool) looks like::

    import plac

## age_in_minutes.py
def calculate_age_in_minutes(rec_time, pub_time):
  """
  pub_time .. string with datetime in ISO 8601 format. Time, when is the feed published (mostly current time).
  rec_time .. string with datetime in ISO 8601 format. Time, when record was created.

    sample ISO string: 2011-10-25T13:55:42.123Z
  return .. integer with duration between pub_time and rec_time expressed in minutes
  """
  #parsing pub_time to datetime structure. Ignoring timezone and fractions of seconds
  pub_t = datetime.datetime.strptime(pub_time[:19],"%Y-%m-%dT%H:%M:%S")

## bucketlistresultset.py
def versioned_bucket_lister(bucket, prefix='', delimiter='',
                            key_marker='', version_id_marker='', headers=None):
    """
    A generator function for listing versions in a bucket.
    """
    more_results = True
    k = None
    while more_results:
        rs = bucket.get_all_versions(prefix=prefix, key_marker=key_marker,
                                     version_id_marker=version_id_marker,
	[tool.poetry]
	name = "pytestver"
	version = "0.1.0"
	description = ""
	authors = ["Jan Vlcinsky <jan.vlcinsky@tamtamresearch.com>"]

	[tool.poetry.dependencies]
	python = "^3.10"

	[tool.poetry.dev-dependencies]
	[tool.poetry]
	name = "jinjatest"
	version = "0.1.0"
	description = ""
	authors = ["Jan Vlcinsky <jan.vlcinsky@tamtamresearch.com>"]

	[tool.poetry.dependencies]
	python = "^3.7"

	[tool.poetry.dev-dependencies]
	import json

	import boto3


	class S3JsonBucket:
	def __init__(self, bucket_name):
	self.bucket = boto3.resource("s3").Bucket(bucket_name)

	def load(self, key):
	import os


	def task_one():
	def create_cmd_string(a, b, target):
	return "echo a: %s b: %s > %s" % (a, b, target)

	with open("list_of_input_filenames.txt") as f:
	fnames = [line.strip() for line in f.readlines() if line]
	for a in fnames:
	import web
	import time

	urls = (
	"/", "streamer",
	)
	app = web.application(urls, globals())


	class streamer:
	"""
	Usage:
	csv2sql.py [--table <tablename>] <csvfile>

	Options:
	--table <tablename> Name of table in database to import into [default: mytable]

	Convert csv file with iperf data into sql script for importing
	those data into MySQL database.
	"""
	""" A study, how to create plac annotated command line script from bare function
	preserving original function intact.

	This is sometime needed, when the same function is used for call e.g. by a celery,
	and for manual testing it is handy to have it in command line version.

	Usually, the code (producing only annotated command line tool) looks like::

	import plac
	def calculate_age_in_minutes(rec_time, pub_time):
	"""
	pub_time .. string with datetime in ISO 8601 format. Time, when is the feed published (mostly current time).
	rec_time .. string with datetime in ISO 8601 format. Time, when record was created.

	sample ISO string: 2011-10-25T13:55:42.123Z
	return .. integer with duration between pub_time and rec_time expressed in minutes
	"""
	#parsing pub_time to datetime structure. Ignoring timezone and fractions of seconds
	pub_t = datetime.datetime.strptime(pub_time[:19],"%Y-%m-%dT%H:%M:%S")
	def versioned_bucket_lister(bucket, prefix='', delimiter='',
	key_marker='', version_id_marker='', headers=None):
	"""
	A generator function for listing versions in a bucket.
	"""
	more_results = True
	k = None
	while more_results:
	rs = bucket.get_all_versions(prefix=prefix, key_marker=key_marker,
	version_id_marker=version_id_marker,