--- title: Final keywords: fastai sidebar: home_sidebar summary: "Final model and/or results of your project " ---
Adapted for use with nbdev & Google Colab from xstreamsrl Jupytemplate.
Title
The title of the notebook (above) should be coherent with file name (at the top) and, like the filename, follow the nbdev naming convention. For example, notebook '01' to be added to the project by author 'AB' (initials) and containing code for 'data_exploration' might have the filename 01_AB_data_exploration.ipynb
or AB_01_data_exploration.ipynb
and title '01_AB_Data_Exploration' or 'AB_01_Data_Exploration'.
Note that this title will also become the title of the notebook in the documentation.
Purpose
State the purpose of the notebook.
Methodology
Quickly describe assumptions and processing steps.
WIP - improvements
Use this section only if the notebook is not final.
Notable TODOs:
todo 1; todo 2; todo 3.
Results
Describe and comment the most important results.
Suggested next steps
State suggested next steps, based on results obtained in this notebook
Import all the required Python libraries
#test_flag_deps
# general
import os, pickle, pathlib
# Data manipulation
import pandas as pd
import numpy as np
# Options for pandas
pd.options.display.max_columns = 50
pd.options.display.max_rows = 30
# Visualizations
import matplotlib as plt
import plotly
import plotly.graph_objs as go
import plotly.offline as ply
plotly.offline.init_notebook_mode(connected=True)
import altair as alt
import cufflinks as cf
cf.go_offline(connected=True)
cf.set_config_file(theme='white')
Import all required local libraries.
# Include local library paths
import sys
# sys.path.append('path/to/local/lib') # put path to local libraries in system path
# Import local libraries # now local libraries in a non_local directory ('lib') can be easily imported
from nbds_colab.common import *
from nbds_colab.vis import *
from nbds_colab.ensemble1 import *
from nbds_colab.ensemble2 import *
Set all relevant parameters for our notebook. By convention, parameters are uppercase, while all the other variables follow Python's guidelines.
PARAM = 0
Retrieve required data for analysis.
Put here the core of the notebook. Feel free to further split this section into subsections and adjust heading markdown as fits the project.
final_test('final')
Test local imports
assert common_test('from common') == 'from common'
assert vis_test('from vis') == 'from vis'
assert ensemble1_test('from ensemble1') == 'from ensemble1'
assert ensemble2_test('from ensemble2') == 'from ensemble2'
Relevant references:


# -*- coding: utf-8 -*-
""" Arm with a constant reward. Useful for debugging.
Example of creating an arm:
>>> C013 = Constant(0.13)
>>> C013
Constant(0.13)
>>> C013.mean
0.13
Examples of sampling from an arm:
>>> C013.draw()
0.13
>>> C013.draw_nparray(3)
array([0.13, 0.13, 0.13])
"""
from __future__ import division, print_function # Python 2 compatibility
__author__ = "Lilian Besson"
__version__ = "0.6"
import numpy as np
# Local imports
try:
from .Arm import Arm
except ImportError:
from Arm import Arm
[docs]class Constant(Arm):
""" Arm with a constant reward. Useful for debugging.
- `constant_reward` is the constant reward,
- `lower`, `amplitude` default to `floor(constant_reward)`, `1` (so the )
>>> arm_0_5 = Constant(0.5)
>>> arm_0_5.draw()
0.5
>>> arm_0_5.draw_nparray((3, 2))
array([[0.5, 0.5],
[0.5, 0.5],
[0.5, 0.5]])
"""
[docs] def __init__(self, constant_reward=0.5, lower=0., amplitude=1.):
""" New arm."""
constant_reward = float(constant_reward)
self.constant_reward = constant_reward #: Constant value of rewards
lower = min(lower, np.floor(constant_reward))
self.lower = lower #: Known lower value of rewards
self.amplitude = amplitude #: Known amplitude of rewards
self.mean = constant_reward #: Mean for this Constant arm
# --- Random samples
[docs] def draw(self, t=None):
""" Draw one constant sample. The parameter t is ignored in this Arm."""
return self.constant_reward
[docs] def draw_nparray(self, shape=(1,)):
""" Draw a numpy array of constant samples, of a certain shape."""
return np.full(shape, self.constant_reward)
[docs] def set_mean_param(self, mean):
self.mean = mean
# --- Printing
[docs] def __str__(self):
return "Constant"
[docs] def __repr__(self):
return "Constant({:.3g})".format(self.constant_reward)
# --- Lower bound
[docs] @staticmethod
def kl(x, y):
""" The `kl(x, y) = abs(x - y)` to use for this arm."""
return abs(x - y)
[docs] @staticmethod
def oneLR(mumax, mu):
""" One term of the Lai & Robbins lower bound for Constant arms: (mumax - mu) / KL(mu, mumax). """
return (mumax - mu) / abs(mumax - mu)
__all__ = ["Constant"]
# --- Debugging
if __name__ == "__main__":
# Code for debugging purposes.
from doctest import testmod
print("\nTesting automatically all the docstring written in each functions of this module :")
testmod(verbose=True)


By Grade
Skip to Sophomore Year, Junior Year, Senior Year, Senior Year By The Month
- Freshman Year
- Keep your focus on personal development rather than the college process; take challenging courses and form positive relationships with school faculty.
- Enter high school in a growth mindset. Build intellectual curiosity and take risks- run for club positions, try new things, make your own club, etc.
- Get involved in your school and community.
- In regards to the college process, though, consider:
- Setting up a Naviance account if you haven’t already. You can take surveys on the site like the strengths explorer survey as well as start researching colleges.
- Looking at academic requirements for graduation, college admission, and, if you’re a student athlete, looking at the NCAA core course requirements.
- Take the PSAT in the fall.
- Meet with and get to know your guidance counselor. Counselors have a lot of resources to offer but only if you ask.
- Tentatively plan course selection by mapping out core courses and the classes you want to take throughout high school. Be flexible to change, though. Plan to challenge yourself academically more every year.
- Record major awards, accomplishments, and activities (do this all four years).
- Sophomore Year
- Continue focusing on personal development, challenging yourself academically, and developing leadership skills.
- Stay involved in the school and community and continue using your guidance counselor as a resource.
- Start considering your family's plan for paying for college. Consider getting the book 'Secrets of a Financial Aid Pro: Master the College Funding Process and Give Your Child Lifelong Financial Skills Without Losing Your Cool' if you need to learn more about financial aid.
- Take the PSAT and consider studying for standardized tests if you feel you need to (SAT + ACT). The summer before junior year is a good time to study for standardized tests. Try taking one practice test in the spring of sophomore year to determine how much you need to study to reach your goal score.
- If necessary, consider what subject tests you want to take junior year and, if you feel very prepared, consider taking one this year.
- Schedule a challenging academic schedule for junior year; ideally more than sophomore year.
- Junior Year
- Focus on getting good grades in your junior year (especially your APs) as junior year can be one of the most important years academically.
- Start looking at college planning resources at your high school and through outside resources (like the Fiske Guide To Colleges).
- Begin making a list of potential colleges (Constructing Your College List) and consider visiting them. Sometimes going on an official campus visit for a college can result in them waiving the fee for your application. It, also, gives the added bonus of demonstrating interest (Demonstrated Interest) in the college.
- If you can't visit colleges, then consider contacting them, requesting more information about them, talking to a representative at a college fair, or finding another way to demonstrate interest. This will help you narrow down colleges as well because you will know if you aren't interested in the college.
- Take the PSAT/NMSQT.
- Register for the SAT, ACT, and, if necessary, subject tests. Ideally schedule the SAT and ACT in the fall as you will have more time to study and retake; if you can finish all standardized tests before senior year you will have more time to work on your college applications.
- Look at the testing requirements of the colleges on your list. Remember that if a school ‘recommends’ SAT II’s then it is important that you take them. SAT II’s are content based and studying is almost always necessary (SAT IIs/ Subject Tests). Even if you excelled in the corresponding AP course there is often slightly different content or additional content on the SAT subject test.
- Consider what teachers you want to ask for recommendation letters and inform them that you will want one. Choose teachers that know you best; consider what you excel in academically or what classes you took that you felt you showed positive character traits in that you want admissions officers to see. For example, perhaps the teacher of a class you struggled in could give good insight into how you handle challenges.
- If there is a recommendation letter form for your high school where you put some information about yourself for the teachers writing your recommendation letters then fill that out.
- Continue planning your family's way to finance college and, if necessary, learn about federal and private student loans and grants.
- Start looking into scholarship opportunities in your community and beyond.
- Choose a CHALLENGING schedule for senior year. Colleges will see this as an indicator of your intellectual curiosity.
- What you do in the summer after junior year can be important to admissions officers. Taking a summer job or internship that is relevant to your academic or career interests is one way to impress admission officers.
- Senior Year
- Don't slack off academically. Try to get good quarter one grades and send them to any school(s) you applied early decision/ early action. Good senior grades strengthens your case for intellectual curiosity and demonstrates your work ethic. Do the same for first semester grades for your regular decision schools. Senior grades can be important when admissions officers make their decision.
- Finish standardized tests and send in college applications earlier rather than later. Be aware of ‘priority deadlines’ or any deadlines that colleges prefer your application to be submitted by in addition to the official deadlines.
- Have a strong application strategy.
- Be aware of financial aid forms like the FAFSA. If you are concerned about the financial aid process consider getting the book 'Secrets of a Financial Aid Pro: Master the College Funding Process and Give Your Child Lifelong Financial Skills Without Losing Your Cool' if you don't have it already.
- Search for scholarship opportunities in your community and online. Note the deadlines to apply.
- If applicable, be aware of your athletic recruitment potential and how that plays in.
- Most applications are submitted by either November or January and decisions are received by mid-April.
- May 1st is national college decision day.
Here I will give a tentative plan by month of your senior year:
October, November, December, January, February, March, April, May and June.
| Month | Tasks To Complete |
|---|---|
| September |
|
| October |
|
| November | |
| December |
|
| January | |
| February | |
| March | |
| April |
|
| May and June |
|


Bolivia's Senate votes to appoint new chamber head, deputies
LA PAZ (Reuters) - Bolivian lawmakers in the country’s Senate voted on Thursday night in favor of a new chamber President and two vice president, after a spate of resignations amid major political upheaval in the South American nation.
The new Senate head will be Mónica Eva Copa Murga, a member of the Movement for Socialism (MAS) party of Evo Morales, who resigned on Sunday under rising pressure over a disputed election, leaving behind a political vacuum.


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Water is a 17 minutes acousmatic piece composed for a quadraphonic sound system.
As a spatial piece, it explores the circular movement of a sound mass without gaps by layering different frequencies in different places of the room.
Conceptually, the main focus of this piece was to generate an environment resemblant to that of being under water and resurfacing.
Sound sources vary from field recordings to digital audio generated with CSound.
Here you can hear a 4 part stereo version of the original piece.


About Me
Hello! My name is Sean, and welcome to my portfolio page! I graduated with a B.S. in Biochemistry/Chemistry from University of California, San Diego in 2019. In my free time, I like to take photographs and edit them. In addition, I like keeping up with tech news, such as computer component releases, smartphone news, and etc. I am a native English speaker and am fluent in speaking Mandarin Chinese. I am conversational in Japanese, and can understand conversational Cantonese, but am not able to speak it.
你好！我的名字是張羽生，歡迎到我的作品集網頁！我是2019年從加州公立大學聖地亞哥分校生物化學專業畢業的。有空的時候，我喜歡攝影和修改相片。此外，我喜歡跟著科技消息，比如電腦零件，智能手機，等等。我的母語是英文。中文講寫沒大問題。我也可以講基本日文。廣東話，我可以聽但不能講。


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Songx
About
(current)
Upload Song
(current)
Login
(current)
About Us and Future
This is a project, born as open source and from an idea of two young students, is currently still under development, you can see the todo list below
To Do
implement dark mode
implement login and registration
implement song upload to each account
DevTeam Members
Lorenzo Bonanni
Nicolò Morando


VitNX_MenuRenderer Events
The following tables list the members exposed by the VitNX_MenuRenderer type.
| Name | Description | |
|---|---|---|
| RenderArrow | Occurs when an arrow on a ToolStripItem is rendered. (inherited from ToolStripRenderer). | |
| RenderButtonBackground | Occurs when the background for a ToolStripButton is rendered (inherited from ToolStripRenderer). | |
| RenderDropDownButtonBackground | Occurs when the background for a ToolStripDropDownButton is rendered. (inherited from ToolStripRenderer). | |
| RenderGrip | Occurs when the move handle for a ToolStrip is rendered. (inherited from ToolStripRenderer). | |
| RenderImageMargin | Draws the margin between an image and its container. (inherited from ToolStripRenderer). | |
| RenderItemBackground | Occurs when the background for a ToolStripItem is rendered. (inherited from ToolStripRenderer). | |
| RenderItemCheck | Occurs when the image for a selected ToolStripItem is rendered. (inherited from ToolStripRenderer). | |
| RenderItemImage | Occurs when the image for a ToolStripItem is rendered. (inherited from ToolStripRenderer). | |
| RenderItemText | Occurs when the text for a ToolStripItem is rendered. (inherited from ToolStripRenderer). | |
| RenderLabelBackground | Occurs when the background for a ToolStripLabel is rendered. (inherited from ToolStripRenderer). | |
| RenderMenuItemBackground | Occurs when the background for a ToolStripMenuItem is rendered. (inherited from ToolStripRenderer). | |
| RenderOverflowButtonBackground | Occurs when the background for an overflow button is rendered. (inherited from ToolStripRenderer). | |
| RenderSeparator | Occurs when a ToolStripSeparator is rendered. (inherited from ToolStripRenderer). | |
| RenderSplitButtonBackground | Occurs when the background for a ToolStripSplitButton is rendered. (inherited from ToolStripRenderer). | |
| RenderStatusStripSizingGrip | Occurs when the display style changes. (inherited from ToolStripRenderer). | |
| RenderToolStripBackground | Occurs when the background for a ToolStrip is rendered. (inherited from ToolStripRenderer). | |
| RenderToolStripBorder | Occurs when the border for a ToolStrip is rendered. (inherited from ToolStripRenderer). | |
| RenderToolStripContentPanelBackground | Draws the background of a ToolStripContentPanel. (inherited from ToolStripRenderer). | |
| RenderToolStripPanelBackground | Draws the background of a ToolStripPanel. (inherited from ToolStripRenderer). | |
| RenderToolStripStatusLabelBackground | Draws the background of a ToolStripStatusLabel. (inherited from ToolStripRenderer). |


{% include head.html %}
{% include mobilemenu.html %} {{ content }} {% include analytics.html %}
{% include scroll-up.html %}


--- Day 8: Matchsticks ---
Space on the sleigh is limited this year, and so Santa will be bringing his list as a digital copy. He needs to know how much space it will take up when stored.
It is common in many programming languages to provide a way to escape special characters in strings. For example, C, JavaScript, Perl, Python, and even PHP handle special characters in very similar ways.
However, it is important to realize the difference between the number of characters in the code representation of the string literal and the number of characters in the in-memory string itself.
For example:
""
is2
characters of code (the two double quotes), but the string contains zero characters."abc"
is5
characters of code, but3
characters in the string data."aaa\"aaa"
is10
characters of code, but the string itself contains six "a" characters and a single, escaped quote character, for a total of7
characters in the string data."\x27"
is6
characters of code, but the string itself contains just one - an apostrophe ('
), escaped using hexadecimal notation.
Santa's list is a file that contains many double-quoted string literals, one on each line. The only escape sequences used are \\
(which represents a single backslash), \"
(which represents a lone double-quote character), and \x
plus two hexadecimal characters (which represents a single character with that ASCII code).
Disregarding the whitespace in the file, what is the number of characters of code for string literals minus the number of characters in memory for the values of the strings in total for the entire file?
For example, given the four strings above, the total number of characters of string code (2 + 5 + 10 + 6 = 23
) minus the total number of characters in memory for string values (0 + 3 + 7 + 1 = 11
) is 23 - 11 = 12
.


{% load i18n horizon humanize %}
We resume the instance from the glance image server.
If the Base VM has not cached, this process can take a few minutes.


We offer unlimited revisons on all of the work that we do.
If you're not happy, just let us know and we'll remidy it free of charge.
We're experts in our field. Your podcast is guarenteed to sound professional and consistant, everytime.
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If you're not happy with our work, we will revise it until you're completely satisfied or we will give you a full refund.
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3D worlds for everyone!
Many other frameworks provide one-off 3D web experiences and proprietary 3D browsers. MVML specializes in helping you build and share a network of first-person worlds.


I have already learned most of the adobe software in school; however, I am more familiar with After Effects and Cinema 4D.
In the part of Programe language, I have made few websites with HTML,CSS and JAVASCRIPT. I have the basic knowledge of it and I'm still learning more.
I have been learning the classes of Motion Designn and Progarm language for almost two years in Fanshawe colledge. I consider myself as a UX/UI Designer, but I spend most of my time working on Motion Graphic and discovering different new effects on the interent. I love making 3D Modules and I think that is the area I put most of my passion on.


Mechatronics Engineering and Co-Founder of the Robotic Club (SMASH) at the Institute for Teaching and Research Insper. I'm interested in the areas of robotics (localization and mapping), computer vision, artificial intelligence, mobile robots and autonomous cars.
Five-month learning program on core Rockwell Automation (Allen Bradley) product technologies.
Responsible for supporting the business units in specific demands of each area. I was responsible for digital transformation projects within the company, involving programming in VBA and python. I also did a project involving machine learning to evaluate new leads based on historical data.
GPA:8.34/10
GPA 3.3/4
Development of an autonomous rc car using ROS. This involved the upgrade of an Akerman steering rc car hardware, sensor integration such as IMU, Lidar and Intel D435 camera. All controlled using Nvidia Jetson Nano and Arduino Due.
View ProjectThis is a project to find circular pieces using a PS Eye camera, correct the perspective view and send the coordinates to the Pick-and-Place machine.
View Project


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How to use mrb_gc_arena_save()
/mrb_gc_arena_restore()
/mrb_gc_protect()
This is an English translation of [Matz’s blog post][matz blog post] written in Japanese. Some parts are updated to reflect recent changes. [matz blog post]: http://www.rubyist.net/~matz/20130731.html
When you are extending mruby using C language, you may encounter mysterious “arena overflow error” or memory leak or very slow execution speed. This is an error indicating overflow of “GC arena” implementing “conservative GC”.
GC (garbage collector) must ensure that object is “alive”, in other words, that it is referenced by somewhere from program. This can be determined by checking if the object can be directly or indirectly referenced by root. The local variables, global variables and constants etc are root.
If program execution is performed inside mruby VM, there is nothing to worry about because GC can access all roots owned by VM.
The problem arises when executing C functions. The object referenced by C variable is also “alive”, but mruby GC cannot aware of this, so it might mistakenly recognize the objects referenced by only C variables as dead.
This can be a fatal bug if the GC tries to collect a live object.
In CRuby, we scan C stack area, and use C variable as root to check whether object is alive or not. Of course, because we are accessing C stack just as memory region, we never know it is an integer or a pointer. We workaround this by assuming that if it looks like a pointer, then assume it as a pointer. We call it “conservative”.
By the way, CRuby’s “conservative GC” has some problems.
The biggest problem is we have no way to access to the stack area in portable way. Therefore, we cannot use this method if we’d like to implement highly portable runtime, like mruby.
So we came up with an another plan to implement “conservative GC” in mruby.
Again, the problem is when an object which was created in C function, becomes no longer referenced in the Ruby world, and cannot be treated as garbage.
In mruby, we recognize all objects created in C function are alive. Then we have no problem such as confusing a live object as dead.
This means that because we cannot collect truly dead object, we may lose efficiency, but as a trade-off the GC itself is highly portable. We can say goodbye to the problem that GC deletes live objects due to optimization which sometimes occurs in CRuby.
According to this idea, we have a table, called “GC arena”, which remembers objects created in C function.
The arena is stack structure, when C function execution is returned to mruby VM, all objects registered in the arena are popped.
This works very well, but can cause another problem: “arena overflow error” or memory leak.
As of this writing, mruby automatically extend arena to remember
objects (See MRB_GC_FIXED_ARENA
and MRB_GC_ARENA_SIZE
in
doc/guides/mrbconf.md).
If you create many objects in C functions, memory usage will increase, since GC never kick in. This memory usage may look like memory leak, but will also make execution slower as more memory will need to be allocated.
With the build time configuration, you can limit the maximum size of arena (e.g., 100). Then if you create many objects, arena overflows, thus you will get an “arena overflow error”.
To workaround these problems, we have mrb_gc_arena_save()
and
mrb_gc_arena_restore()
functions.
int mrb_gc_arena_save(mrb)
returns the current position of the stack
top of GC arena, and void mrb_gc_arena_restore(mrb, idx)
sets the
stack top position to back to given idx
.
We can use them like this:
```c int arena_idx = mrb_gc_arena_save(mrb);
// …create objects… mrb_gc_arena_restore(mrb, arena_idx);
```
In mruby, C function calls are surrounded by this save/restore, but we can further optimize memory usage by surrounding save/restore, and can avoid creating arena overflow bugs.
Let’s take a real example. Here is the source code of Array#inspect
:
```c static mrb_value inspect_ary(mrb_state *mrb, mrb_value ary, mrb_value list) { mrb_int i; mrb_value s, arystr; char head[] = { ‘[’ }; char sep[] = { ‘,’, ‘ ‘ }; char tail[] = { ‘]’ };
/* check recursive */ for(i=0; i<RARRAY_LEN(list); i++) { if (mrb_obj_equal(mrb, ary, RARRAY_PTR(list)[i])) { return mrb_str_new(mrb, “[…]”, 5); } }
mrb_ary_push(mrb, list, ary);
arystr = mrb_str_new_capa(mrb, 64); mrb_str_cat(mrb, arystr, head, sizeof(head));
for(i=0; i<RARRAY_LEN(ary); i++) { int ai = mrb_gc_arena_save(mrb);
if (i > 0) {
mrb_str_cat(mrb, arystr, sep, sizeof(sep));
}
if (mrb_array_p(RARRAY_PTR(ary)[i])) {
s = inspect_ary(mrb, RARRAY_PTR(ary)[i], list);
}
else {
s = mrb_inspect(mrb, RARRAY_PTR(ary)[i]);
}
mrb_str_cat(mrb, arystr, RSTRING_PTR(s), RSTRING_LEN(s));
mrb_gc_arena_restore(mrb, ai); }
mrb_str_cat(mrb, arystr, tail, sizeof(tail)); mrb_ary_pop(mrb, list);
return arystr; } ```
This is a real example, so a little bit complicated, but bear with me.
The essence of Array#inspect
is that after stringifying each element
of array using inspect
method, we join them together so that we can
get inspect
representation of the entire array.
After the inspect
representation is created, we no longer require the
individual string representation. This means that we don’t have to register
these temporal objects into GC arena.
Therefore, in order to keep the arena size small; the ary_inspect()
function
will do the following:
- save the position of the stack top using
mrb_gc_arena_save()
. - get
inspect
representation of each element. - append it to the constructing entire
inspect
representation of array. - restore stack top position using
mrb_gc_arena_restore()
.
Please note that the final inspect
representation of entire array
was created before the call of mrb_gc_arena_restore()
. Otherwise,
required temporal object may be deleted by GC.
We may have a usecase where after creating many temporal objects, we’d
like to keep some of them. In this case, we cannot use the same idea
in ary_inspect()
like appending objects to existing one.
Instead, after mrb_gc_arena_restore()
, we must re-register the objects we
want to keep in the arena using mrb_gc_protect(mrb, obj)
.
Use mrb_gc_protect()
with caution because it could also lead to an “arena
overflow error”.
We must also mention that when mrb_funcall
is called in top level, the return
value is also registered to GC arena, so repeated use of mrb_funcall
may
eventually lead to an “arena overflow error”.
Use mrb_gc_arena_save()
and mrb_gc_arena_restore()
or possible use of
mrb_gc_protect()
to workaround this.


Had a great day with my future sister and brother in law yesterday in the Edale Valley. Got up there in decent time and arrived in Edale around 11am. Unfortunately, this is a little late on a Sunday to get a parking space. However, we were lucky enough that as we left the car park, a dog walker had just arrived back at his car. Lucky!
Anyway, after a quick change of footwear and application of gaiters, we started walking up Grindsbrook and beared right towards Ringing Roger. The pull up was steep, and hard work in the strong sun, but after 30 mins we got up to the top of Ringing Roger. From here, the gradient got less but it was quite hard walking up to the edges due to the snow on steep ground. We finally neared the trig point near Ringing Roger about 12 and walked west towards Grindsbrook Clough.
[caption id=”attachment_159” align=”aligncenter” width=”300” caption=”Nearing the top of the edge”][/caption]
Finding the path was difficult, and we had a few moments putting feet into 2 foot deep soft snow holes, but once the path was found, speed increased. We stopped around 1/2 way along the edge to some rocks which made an excellent place for lunch. It was now nearing 13:30 and the decision was to turn south over Grindslow Knoll, rather than continue the original plan of reaching the top of Jacob’s Ladder before descending to Edale. Time was pushing on, and we were a little concerned about how icy Jacob’s Ladder would be - it was bad a few weeks ago with far less snow on the ground. So the route was cut short a little mileage wise. Still 6 miles done - 2 or so through thick snow so the legs were worked quite hard!
[caption id=”attachment_160” align=”aligncenter” width=”300” caption=”Grindslow Knoll - Last summit of the day”][/caption]
A quick round of pints at the Old Nags Head Inn rounded off a great snowy and fantastically clear day. Next proper walk will be in a couple of weeks. Hopefully, the snow will have melted a little so we can up the mileage and ascent - I certainly need to as I have booked train tickets for March 31st to Windermere for a 2 night wildcamp and haven’t done more than 10 miles in the last 3 or 4 months…


LIST: Zero-waste initiatives in the Philippines
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25 July 2007
The Ministry of Health and Population of Egypt has announced a new human case of avian influenza A(H5N1) virus infection. The case is a 25-year-old female from Damietta Governorate. Her infection has been confirmed by the Egyptian Central Public Health Laboratory and by the WHO H5 Reference Laboratory, US Naval Medical Research Unit No.3 (NAMRU-3). She developed symptoms on 20 July and was hospitalized the following day.
She is receiving treatment and is in a stable condition. Investigations into the source of her infection indicate exposure to sick and dead poultry in the week prior to onset of symptoms.
Of the 38 cases confirmed to date in Egypt, 15 have been fatal.


Sometimes Varnish misbehaves. In order for you to understand whats going on there are a couple of places you can check. varnishlog, /var/log/syslog, /var/log/messages are all places where varnish might leave clues of whats going on.
Sometimes Varnish wont start. There is a plethora of reasons why Varnish wont start on your machine. We've seen everything from wrong permissions on /dev/null to other processes blocking the ports.
Starting Varnish in debug mode to see what is going on.
Try to start varnish by:
# varnishd -f /usr/local/etc/varnish/default.vcl -s malloc,1G -T <IP_ADDRESS>:2000 -a <IP_ADDRESS>:8080 -d
Notice the -d option. It will give you some more information on what is going on. Let us see how Varnish will react to something else listening on its port.:
# varnishd -n foo -f /usr/local/etc/varnish/default.vcl -s malloc,1G -T <IP_ADDRESS>:2000 -a <IP_ADDRESS>:8080 -d
storage_malloc: max size 1024 MB.
Using old SHMFILE
Platform: Linux,2.6.32-21-generic,i686,-smalloc,-hcritbit
200 193
-----------------------------
Varnish Cache CLI.
-----------------------------
Type 'help' for command list.
Type 'quit' to close CLI session.
Type 'start' to launch worker process.
Now Varnish is running. Only the master process is running, in debug mode the cache does not start. Now you're on the console. You can instruct the master process to start the cache by issuing "start".:
start
bind(): Address already in use
300 22
Could not open sockets
And here we have our problem. Something else is bound to the HTTP port of Varnish. If this doesn't help try strace or truss or come find us on IRC.
When varnish goes bust the child processes crashes. Usually the mother process will manage this by restarting the child process again. Any errors will be logged in syslog. It might look like this:
Mar 8 13:23:38 smoke varnishd[15670]: Child (15671) not responding to CLI, killing it.
 Linux is limited to a maximum of 64k maps. Setting vm.max_max_count i sysctl.conf will enable you to increase this limit. You can inspect the number of maps your program is consuming by counting the lines in /proc/$PID/maps
This is a rather odd thing to document here - but hopefully Google will serve you this page if you ever encounter this error.
First find the relevant log entries in varnishlog. That will probably give you a clue. Since varnishlog logs so much data it might be hard to track the entries down. You can set varnishlog to log all your 503 errors by issuing the following command:
$ varnishlog -c -m TxStatus:503
If the error happened just a short time ago the transaction might still be in the shared memory log segment. To get varnishlog to process the whole shared memory log just add the -d option:
$ varnishlog -d -c -m TxStatus:503
Please see the varnishlog man page for elaborations on further filtering capabilities and explanation of the various options.


Chapter 2 Petrol
This report shows analyses performed and figures created from 10+ years of petrol usage with a 2003 Volkswagen Polo sedan (1.4).
The purpose is to illustrate the use of Rmarkdown with data analyses.
2.1 Loading and prepping the data
# Load libraries
library(tidyverse)
library(lubridate)
library(broom)
## Warning: package 'broom' was built under R version 3.3.2
# Load data
petrol <- read.csv("data/petrol_info.csv")
# Correct date
petrol$date <- as.Date(petrol$date, "%d-%m-%y")
# Correct 'full' categorical label
petrol$full[is.na(petrol$full)] <- 0
petrol$full <- factor(petrol$full, labels = c("no", "yes"))
petrol$full <- factor(petrol$full, levels = c("yes", "no"))
# Remove problem rows
petrol <- petrol[complete.cases(petrol),]
# Add month and year columns
petrol$month <- floor_date(petrol$date, "month")
petrol$year <- floor_date(petrol$date, "year")
# Create a column showing distance between fill-ups
petrol$dist <- c(0,diff(as.matrix(petrol$odom)))
# Total distance traveled
petrol$dist_total <- petrol$odom-petrol$odom[1]
2.2 Distances traveled
Over the lifespan of a vehicle, one constant will always be the increasing count of the odometre. We may plot this as a time series.
ggplot(data = petrol, aes(x = date, y = odom)) +
geom_line() +
geom_point() +
scale_y_continuous(breaks = seq(80000, 200000, 20000)) +
labs(y = "distance (km)", x = "")
Also of interest is how far the distances between fill ups may be. There are a couple of gaps in this time series, which lend themselves to some dramatic numbers, but overall we are able to get an idea of the true distances.
ggplot(data = petrol[petrol$dist <= 1000,], aes(x = dist)) +
geom_histogram(fill = "violet", colour = "grey40")
This histogram shows a bimodal distribution with a clustering of distances around 100 kms and 600 kms. This is not so strange if you think about it as it shows that this driver would tend to either go short distances between filling up, or long distances. This is likely linked to spending behaviours, which is the next thing to investigate.
2.3 Spending behaviour
We may produce another histogram to plot the amount of money spent per visit to the petrol station.
ggplot(data = petrol, aes(x = cost)) +
geom_histogram(aes(fill = full), colour = "grey40") +
labs(x = "Price (R)")
This histogram is showing two different spending habits. On the left hand side we see that there are distinct columns rising out from the others. This is when the driver went to the station and spent specifically, R20, R50, R100, R200, R300 or R400. On the right hand side of the histogram we see a more normal distribution of columns. These are the prices spent when filling up the tank to full.
2.4 Petrol usage per km
One of the first things any car owner wants to know about their vehicle is the mileage their vehicle is getting. And whether or not this is decreasing with wear. Because we don’t know exactly how much petrol is used between each fill up this becomes a bit tricky. We overcome this challenge somewhat by creating annual sums of petrol use. With these we may then calculate the distance traveled per litre more broadly. Monthly means are too erratic to be useful.
# Create monthly means
petrol_annual <- petrol %>%
select(-full, -date, -month) %>%
group_by(year) %>%
mutate(dist2 = sum(dist)) %>%
mutate(litre2 = sum (litre)) %>%
summarise_all(mean) %>%
mutate(dist_litre = dist2/litre2)
# Remove outliers caused during absences
is.na(petrol_annual$dist_litre) <- petrol_annual$dist_litre > 16
# Plot it
ggplot(data = petrol_annual, aes (x = year, y = dist_litre)) +
geom_line() +
geom_point() +
geom_smooth(colour = "red") +
geom_smooth(method = "lm") +
labs(y = "km/litre", x = NULL)
As we may see, the mileage appears to increase until 2013 when it then falls precipitously. The overall change in mileage for this car however appears flat when modeled linearly.
2.5 Petrol prices
We’ve saved the best for last as the most interesting thing for most people that could be extracted from these records is the price of petrol over the last decade. Both how much petrol costs per litre and how much must be spent every time we pull up to the station. First we see a lolliplot of how much was spent at each station visit.
# Calculate total amount spent
petrol$cost_total <- cumsum(petrol$cost)
# Lolli plot
ggplot(data = petrol, aes(x = date, y = cost)) +
geom_point(aes(colour = full)) +
geom_segment(aes(xend = date, y = 0, yend = cost, colour = full)) +
labs(y = "cost (R)", x = "")
And then the price per litre averaged per month.
# Price/ litre/ month
petrol_monthly <- petrol %>%
select(-full, -date, -year) %>%
group_by(month) %>%
summarise_all(mean) %>%
mutate(price_litre = cost/litre)
# Fill in missing months
month_index <- data.frame(month = seq(petrol_monthly$month[1],
petrol_monthly$month[nrow(petrol_monthly)], by = "month"))
petrol_monthly <- merge(petrol_monthly, month_index, by = "month", all.y = TRUE)
petrol_trend <- lm(petrol_monthly$price_litre ~ seq(1:nrow(petrol_monthly)))
petrol_augment <- augment(petrol_trend)
petrol_tidy <- tidy(petrol_trend)
petrol_glance <- glance(petrol_trend)
# petrol_tidy$estimate[2]*12
# R 0.72/ month
# Line graph
ggplot(data = petrol_monthly, aes(x = month, y = price_litre)) +
geom_line() +
geom_point() +
geom_smooth(method = "lm") +
geom_text(aes(x = as.Date("2009-01-01"), y = 13,
label = paste0("Increase = R", round(petrol_tidy$estimate[2]*12, 2), "/year"))) +
# geom_point(data = petrol[187,], colour = "red")
# scale_y_continuous(breaks = seq(80000, 200000, 20000)) +
labs(y = "R/litre", x = "")
And there we have it. Petrol prices in SA have increased R0.72/year over the last 10 years.


Redis commands can reply to the client with four different kind of replies, you can find the protocol level specification of this replies in the
Redis Protocol Specification. This page is instead an higher level description of the four types of replies from the point of view of the final user.
Status code replies are in the form of a
+OK from the server, or a
-ERR followed by an error string. At the protocol level this replies are sent as a single line. Client libraries should return
true on
OK, and should raise an exception in form of an error that stops the execution of the program on
ERR replies from server, because this kind of replies are used by operations that usually fails because of a programming error, an inconsistent DB, and so on.
At protocol level integer replies are single line replies in form of a decimal singed number. Redis commands returning
true or
false will use an integer reply and "1" and "0" as replies. A negative value in an integer reply is used to signal an error by all the commands, with the exception of
INCR/
INCRBY/
DECR/
DECRBY where negative return values are allowed (this command never fails).
All the integer replies using negative values to return errors will use the same values to signal the same errors:
-1 key not found
-2 key contains a value of the wrong type
-3 source object and destination object are the same
-4 out of range argument
Integer replies are usually passed by client libraries as integer values. On negative integer reply an exception should be raised (excluding the INCR family commands).
A bulk reply is a binary-safe reply that is used to return a single string value (string is not limited to alphanumerical strings, it may contain binary data of any kind). Client libraries will usually return a string as return value of Redis commands returning bulk replies. There is a special bulk reply that signal that the element does not exist. When this happens the client library should return 'nil', 'false', or some other special element that can be distinguished by an empty string.
While a bulk reply returns a single string value, multi bulk replies are used to return multiple values: lists, sets, and so on. Elements of a bulk reply can be missing (-1 length count at protocol level). Client libraries should return 'nil' or 'false' in order to make this elements distinguishable from empty strings. Client libraries should return multi bulk replies that are about ordered elements like list ranges as lists, and bulk replies about sets as hashes.


Rollerbladed today for the first time since February. I’ve now only broken a bone 1/3 of the times I’ve used the new skates :success:
9/26/2020, 8:16:22 AM
Favs: 9
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link--- layout: tweet ---
Rollerbladed today for the first time since February. I’ve now only broken a bone 1/3 of the times I’ve used the new skates :success:
9/26/2020, 8:16:22 AM
Favs: 9
Retweets: 0
link


{% extends "layout.html" %} {% block header %} {% include "includes/cookie-banner.html" %} {{ govukHeader({ homepageUrl: "http://gov.uk/" }) }} {% endblock %} {% block pageTitle %} Page not found - Request a document - GOV.UK {% endblock %} {% set mainClasses = "govuk-main-wrapper--l" %} {% block content %}
If you pasted the web address to order a document, you'll need to start the order again.
Contact Companies House if you need to speak to someone about ordering a document.


STAT 757 – Section 1001
Instructor: Colin Grudzien
You may work with others on these problems but you must turn in your own work.
You may type your solutions in any way you like (LaTeX, Markdown, Office, etc…) as long as you present your work clearly and in an organized way.
Whenever plotting:
- Include a copy of a short R script corresponding to your plot.
- Your plot must be clearly labeled in all axes, legends, and the plot must include a clear title.
- The plot must be sensible and easy to read.
teengamb
concerns a study of teenage gambling in Britain. Make a numerical and graphical summary of the data, commenting on any features that you find interesting. Limit the output you present to a quantity that a busy reader would find sufficient to get a basic understanding of the data.
uswages
is drawn as a sample from the Current Population Survey in 1988. Make a numerical and graphical summary of the data as in the previous question.


Make sure Final Countdown is installed on the device internal storage and not on the SD card.
Touch the All Apps icon on your Home screen.
Touch Widgets tab at the top of the screen.
From the main Widgets screen, you can
Move between screens to find Final Countdown: Swipe left or right.
Drag a countdown widget (1x1, 2x1, 4x1) to a Home screen: Touch and hold the widget's icon, slide your finger where you want to place it, and lift your finger.
Choose an event to activate widget.
Simply share the countdown via txt, email, Facebook, Twitter, Instagram, WhatsApp or any other application.
The person clicks the link you shared and they will have the same countdown.
http://fncd.net/v?id=Q8_laTR
The only thing that can cause dates to jump or seems is if the timezone is changed. Make sure that the two "same" events have the same timezone settings. By default, your phone will set the default time zone for an event.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.


| Home | Trees | Indices | Help |
|
|---|
|
|
object --+ | AbstractIntegrator --+ | LeapFrog --+ | FastLeapFrog
Leap Frog integration scheme implementation that calculates position and momenta at unequal times by concatenating the momentum updates of two successive integration steps. WARNING: intermediate points in trajectories obtained by FastLeapFrog.integrate(init_state, length, return_trajectories=True) are NOT to be interpreted as phase-space trajectories, because position and momenta are not given at equal times! In the initial and the final state, positions and momenta are given at equal times.
| Nested Classes | |
|
Inherited from |
| Instance Methods | |||
| AbstractPropagationResult |
|
||
|
Inherited from Inherited from Inherited from |
| Class Variables | |
|
Inherited from |
| Properties | |
|
Inherited from |
| Method Details |
Integrates equations of motion starting from an initial state a certain number of steps.
|
| Home | Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1 on Tue Jul 4 20:19:06 2017 | http://epydoc.sourceforge.net |


The library implements the following public API beyond what is documented in 1800.2.
| uvm_component | |
| The library implements the following public API beyond what is documented in 1800.2. | |
| Methods | |
| print_config | Print_config prints all configuration information for this component, as set by previous calls to <uvm_config_db::set()> and exports to the resources pool. |
| Variables | |
| print_config_matches | Setting this static variable causes uvm_config_db::get() to print info about matching configuration settings as they are being applied. |
| Methods | |
| begin_tr | Implementation of uvm_component::begin_tr as described in IEEE 1800.2-2017. |
function void print_config( bit recurse = 0, bit audit = 0 )
Print_config prints all configuration information for this component, as set by previous calls to <uvm_config_db::set()> and exports to the resources pool. The settings are printed in the order of their precedence.
If recurse is set, then configuration information for all children and below are printed as well.
if audit is set then the audit trail for each resource is printed along with the resource name and value
@uvm-accellera The details of this API are specific to the Accellera implementation, and are not being considered for contribution to 1800.2
static bit print_config_matches
Setting this static variable causes uvm_config_db::get() to print info about matching configuration settings as they are being applied.
@uvm-accellera The details of this API are specific to the Accellera implementation, and are not being considered for contribution to 1800.2
Implementation of uvm_component::begin_tr as described in IEEE 1800.2-2017.
function int begin_tr( uvm_transaction tr, string stream_name="main", string label="", string desc="", time begin_time=0, int parent_handle=0 );
As an added feature, this implementation will attempt to get a non-0 parent_handle from the parent sequence of the transaction tr if the parent_handle argument is 0 and the transaction can be cast to a uvm_sequence_item.
Print_config prints all configuration information for this component, as set by previous calls to uvm_config_db::set() and exports to the resources pool.
function void print_config( bit recurse = 0, bit audit = 0 )
Setting this static variable causes uvm_config_db::get() to print info about matching configuration settings as they are being applied.
static bit print_config_matches


Screen Reader Demo Page
Go to AIMS paper implementation
Below this paragraph are some pretty nice photos


|
C++ Actor Framework 0.18
|
A downstream manager that delegates to any number of sub-managers. More...
#include <fused_downstream_manager.hpp>
Classes | |
| struct | non_owning_ptr |
| State held for each slot. More... | |
Public Types | |
| using | super = downstream_manager |
| Base type. | |
| using | nested_managers = std::tuple< T, Ts... > |
| A tuple holding all nested managers. | |
| using | param_list = detail::type_list< T, Ts... > |
| using | map_type = detail::unordered_flat_map< stream_slot, non_owning_ptr > |
| Maps slots to path and nested managers. | |
| using | unassigned_map_type = detail::unordered_flat_map< stream_slot, unique_path_ptr > |
| Maps slots to paths that haven't a managers assigned yet. | |
| using | path_ptr = path_type * |
| Pointer to an outbound path. | |
| using | unique_path_ptr = std::unique_ptr< path_type > |
| Unique pointer to an outbound path. | |
| Public Types inherited from caf::downstream_manager | |
| enum | path_algorithm { all_of , any_of , none_of } |
| Selects a check algorithms. | |
| using | path_type = outbound_path |
| Outbound path. | |
| using | path_ptr = path_type * |
| Pointer to an outbound path. | |
| using | const_path_ptr = const path_type * |
| Pointer to an immutable outbound path. | |
| using | unique_path_ptr = std::unique_ptr< path_type > |
| Unique pointer to an outbound path. | |
| using | time_point = typename actor_clock::time_point |
| Discrete point in time, as reported by the actor clock. | |
Public Member Functions | |
| fused_downstream_manager (stream_manager *parent) | |
| template<class U > | |
| U & | get () |
| template<class U > | |
| const U & | get () const |
| template<class U > | |
| void | assign (stream_slot slot) |
Requires a previous call to add_path for given slot. | |
| bool | terminal () const noexcept override |
Returns true if this manager belongs to a sink, i.e., terminates the stream and never has outbound paths. | |
| size_t | num_paths () const noexcept override |
| Returns the current number of paths. | |
| bool | remove_path (stream_slot slot, error reason, bool silent) noexcept override |
| Removes a path from the manager. | |
| path_ptr | path (stream_slot slot) noexcept override |
Returns the path associated to slot or nullptr . | |
| void | close () override |
| Removes all paths gracefully. | |
| void | abort (error reason) override |
| Removes all paths with an error message. | |
| void | emit_batches () override |
| Sends batches to sinks. | |
| void | force_emit_batches () override |
| Sends batches to sinks regardless of whether or not the batches reach the desired batch size. | |
| size_t | capacity () const noexcept override |
| Queries the currently available capacity for the output buffer. | |
| size_t | buffered () const noexcept override |
| Queries the size of the output buffer. | |
| size_t | buffered (stream_slot slot) const noexcept override |
Queries an estimate of the size of the output buffer for slot . | |
| void | clear_paths () override |
| Silently removes all paths. | |
| virtual void | close () |
| Removes all paths gracefully. | |
| virtual void | close (stream_slot slot) |
Removes path slot gracefully by sending pending batches before removing it. | |
| Public Member Functions inherited from caf::downstream_manager | |
| downstream_manager (stream_manager *parent) | |
| downstream_manager (const downstream_manager &)=delete | |
| downstream_manager & | operator= (const downstream_manager &)=delete |
| scheduled_actor * | self () const noexcept |
| stream_manager * | parent () const noexcept |
| virtual bool | terminal () const noexcept |
Returns true if this manager belongs to a sink, i.e., terminates the stream and never has outbound paths. | |
| void | tick (time_point now, timespan max_batch_delay) |
| Forces underful batches after reaching the maximum delay. | |
| template<class F > | |
| void | for_each_path (F f) |
Applies f to each path. | |
| template<class F > | |
| void | for_each_path (F f) const |
Applies f to each path. | |
| std::vector< stream_slot > | path_slots () |
| Returns all used slots. | |
| std::vector< stream_slot > | open_path_slots () |
Returns all open slots, i.e., slots assigned to outbound paths with closing == false . | |
| template<class Predicate > | |
| bool | all_paths (Predicate predicate) const noexcept |
Checks whether predicate holds true for all paths. | |
| template<class Predicate > | |
| bool | any_path (Predicate predicate) const noexcept |
Checks whether predicate holds true for any path. | |
| template<class Predicate > | |
| bool | no_path (Predicate predicate) const noexcept |
Checks whether predicate holds true for no path. | |
| virtual size_t | num_paths () const noexcept |
| Returns the current number of paths. | |
| path_ptr | add_path (stream_slot slot, strong_actor_ptr target) |
Adds a pending path to target to the manager. | |
| virtual bool | remove_path (stream_slot slot, error reason, bool silent) noexcept |
| Removes a path from the manager. | |
| virtual path_ptr | path (stream_slot slot) noexcept |
Returns the path associated to slot or nullptr . | |
| const_path_ptr | path (stream_slot slot) const noexcept |
Returns the path associated to slot or nullptr . | |
| bool | clean () const noexcept |
Returns true if there is no data pending and all batches are acknowledged batch on all paths. | |
| bool | clean (stream_slot slot) const noexcept |
Returns true if slot is unknown or if there is no data pending and all batches are acknowledged on slot . | |
| virtual void | close () |
| Removes all paths gracefully. | |
| virtual void | close (stream_slot slot) |
Removes path slot gracefully by sending pending batches before removing it. | |
| virtual void | abort (error reason) |
| Removes all paths with an error message. | |
| bool | empty () const noexcept |
Returns num_paths() == 0 . | |
| size_t | min_credit () const |
| Returns the minimum amount of credit on all output paths. | |
| size_t | max_credit () const |
| Returns the maximum amount of credit on all output paths. | |
| size_t | total_credit () const |
| Returns the total amount of credit on all output paths, i.e., the sum of all individual credits. | |
| virtual void | emit_batches () |
| Sends batches to sinks. | |
| virtual void | force_emit_batches () |
| Sends batches to sinks regardless of whether or not the batches reach the desired batch size. | |
| virtual size_t | capacity () const noexcept |
| Queries the currently available capacity for the output buffer. | |
| virtual size_t | buffered () const noexcept |
| Queries the size of the output buffer. | |
| virtual size_t | buffered (stream_slot slot) const noexcept |
Queries an estimate of the size of the output buffer for slot . | |
| bool | stalled () const noexcept |
| Queries whether the manager cannot make any progress, because its buffer is full and no more credit is available. | |
| virtual void | clear_paths () |
| Silently removes all paths. | |
Protected Member Functions | |
| bool | insert_path (unique_path_ptr ptr) override |
Inserts ptr to the implementation-specific container. | |
| void | for_each_path_impl (path_visitor &f) override |
Applies f to each path. | |
| bool | check_paths_impl (path_algorithm algo, path_predicate &pred) const noexcept override |
Dispatches the predicate to std::all_of , std::any_of , or std::none_of . | |
| Protected Member Functions inherited from caf::downstream_manager | |
| virtual bool | insert_path (unique_path_ptr ptr) |
Inserts ptr to the implementation-specific container. | |
| virtual void | for_each_path_impl (path_visitor &f) |
Applies f to each path. | |
| virtual bool | check_paths_impl (path_algorithm algo, path_predicate &pred) const noexcept |
Dispatches the predicate to std::all_of , std::any_of , or std::none_of . | |
| virtual void | about_to_erase (path_ptr ptr, bool silent, error *reason) |
Emits a regular (reason == nullptr ) or irregular (reason != nullptr ) shutdown if silent == false . | |
| template<class Predicate > | |
| bool | check_paths (path_algorithm algorithm, Predicate predicate) const noexcept |
Delegates to check_paths_impl . | |
Additional Inherited Members | |
| Protected Attributes inherited from caf::downstream_manager | |
| stream_manager * | parent_ |
| time_point | last_send_ |
| Stores the time stamp of our last batch. | |
A downstream manager that delegates to any number of sub-managers.
|
overridevirtual |
Removes all paths with an error message.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Queries the size of the output buffer.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Queries an estimate of the size of the output buffer for slot
.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Queries the currently available capacity for the output buffer.
Reimplemented from caf::downstream_manager.
|
overrideprotectedvirtualnoexcept |
Dispatches the predicate to std::all_of
, std::any_of
, or std::none_of
.
Reimplemented from caf::downstream_manager.
|
overridevirtual |
Silently removes all paths.
Reimplemented from caf::downstream_manager.
|
virtual |
Removes all paths gracefully.
Reimplemented from caf::downstream_manager.
|
overridevirtual |
Removes all paths gracefully.
Reimplemented from caf::downstream_manager.
|
virtual |
Removes path slot
gracefully by sending pending batches before removing it.
Effectively calls path(slot)->closing = true
.
Reimplemented from caf::downstream_manager.
|
overridevirtual |
Sends batches to sinks.
Reimplemented from caf::downstream_manager.
|
overrideprotectedvirtual |
Applies f
to each path.
Reimplemented from caf::downstream_manager.
|
overridevirtual |
Sends batches to sinks regardless of whether or not the batches reach the desired batch size.
Reimplemented from caf::downstream_manager.
|
overrideprotectedvirtual |
Inserts ptr
to the implementation-specific container.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Returns the current number of paths.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Returns the path associated to slot
or nullptr
.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Removes a path from the manager.
Reimplemented from caf::downstream_manager.
|
overridevirtualnoexcept |
Returns true
if this manager belongs to a sink, i.e., terminates the stream and never has outbound paths.
Reimplemented from caf::downstream_manager.


Batch job cluster specification. Currently there are no batch specific properties.
| Field | Type | Label | Description |
Batch job specification.
| Field | Type | Label | Description |
| instances | TaskInstances | optional | Number of tasks to run. As batch job cannot auto-scale, min/max task numbers can be safely ignored. |
| runtimeLimitSecs | uint64 | optional | Maximum amount of time in seconds that the job's task is allowed to run. Time is measured since the task transitions to 'RUNNING' state. If a task terminates with an error, and is restarted, the time measurement starts from 0. |
| retryPolicy | RetryPolicy | optional | Task rescheduling policy in case of failure. |
| containerId | string | optional | Reference to a container from a job definition that holds this job specification. If there is no container with this id, the job submit request is rejected. |
Task placement constraints. Currently supported constraint types are: * zoneBalance * uniqueHost * exclusiveHost * host * serverGroup
| Field | Type | Label | Description |
| constraints | Constraints.ConstraintsEntry | repeated | (Optional) A map of constraint name/values. If multiple constraints are given, all must be met (logical 'and'). |
| expression | string | optional | Not supported yet. (Optional) An expression combining multiple constraints. For example 'zoneBalance AND serverGroup == "mySG"'. Avalilable operators: <, <=, ==, >, >=, in, like, AND, OR |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Field | Type | Label | Description |
| resources | Container.ResourcesEntry | repeated | (Required) CPU, memory, disk, network, ports, ENI, allocateIP Each resource/configuration is a key/value pair of string type Data encoding is resource/configuration type specific Here are the recommendations for data encoding for new resource types (not mandatory): * Scalar values encoded always as a string value, with unit if applicable (for example “10Gb”) * Array value is a collection of scalar values separated by comma * Map value is a collection of key/value pairs separated by semicolon. Key/value pair must contain ‘=’ as a separator. Value may be empty, in which case ‘=’ is optional |
| securityProfile | Container.SecurityProfileEntry | repeated | (Required) Container security profile: IAM role, security group list. |
| image | Image | optional | (Required) Image reference. |
| parameters | Container.ParametersEntry | repeated | (Optional) Arbitrary set of key/value pairs. Key names starting with 'titus.' are reserved for an internal usage. |
| entryPoint | string | repeated | (Optional) A binary to execute with parameters. If not set, the entry point must be defined in the container image. |
| command | string | repeated | (Optional) Additional parameters for the entry point defined either here or provided in the container image |
| env | Container.EnvEntry | repeated | (Optional) A collection of system environment variables passed to the container. |
| softConstraints | Constraints | optional | (Optional) Constraints that does not have to be met for a task to be scheduled on an agent, but Titus makes best effort to fullfill them if possible. |
| hardConstraints | Constraints | optional | (Optional) Constraints that have to be met for a task to be scheduled on an agent. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
In the job submit operation one of these values should be specified only, ther other will be resolved by Titus. The resulting job descriptor will include always both values. For the deployment purposes only 'imageId' value is used. The resolution happens only once, immediately during the submit type, so the same image is used for all tasks. This behavior is not applied for job cluster. This means that if a name contains 'latest' version, each job created from the same cluster definition, may have different effective image version.
| Field | Type | Label | Description |
| imageId | string | optional | (Optional) Unique image id. |
| name | string | optional | (Optional) Image name. |
Job entity is returned by query operations only.
| Field | Type | Label | Description |
| id | string | optional | (Required) A unique id (UUID) of a job. |
| jobClusterId | string | optional | (Required) A reference to an existing job cluster. |
| jobDescriptor | JobDescriptor | optional | (Required) Job descriptor. |
| tasks | Task | repeated | (Required) List of tasks associated with this job. The content of the list depends on the query operation. |
| jobState | JobState | optional | (Required) Last known job state. |
| stateChanges | StateChange | repeated | (Required) State transition history. |
| Field | Type | Label | Description |
| jobSnapshot | JobChangeNotification.JobSnapshot | optional | |
| snapshotEnd | JobChangeNotification.SnapshotEnd | optional | |
| jobDefinitionUpdate | JobChangeNotification.JobDefinitionUpdate | optional | |
| jobFinished | JobChangeNotification.JobFinished | optional | |
| taskUdate | JobChangeNotification.TaskUpdate | optional |
Emitted when a new job is created or existing's job definition is changed.
| Field | Type | Label | Description |
| id | string | optional | |
| jobDescriptor | JobDescriptor | optional |
Notification sent when a job completes. It is proceeded by all job's task state updates. Once this notification is sent, no other notifications perteining to this job (and its tasks) are sent.
| Field | Type | Label | Description |
| id | string | optional |
Full information about a job, including its descriptor and active task set. Immediately after subscription, one instance of this notification type is send for each running job.
| Field | Type | Label | Description |
| job | Job | optional |
A marker notification, indicating that all known jobs were streamed to the client, and now will follow state changes.
| Field | Type | Label | Description |
Emitted when a task is created or its state has changed.
| Field | Type | Label | Description |
| task | Task | optional |
| Field | Type | Label | Description |
| id | string | optional | (Required) A unique id (UUID) of a job cluster. |
| descriptor | JobClusterDescriptor | optional | (Required) Job cluster descriptor. |
Job cluster descriptor.
| Field | Type | Label | Description |
| owner | Owner | optional | (Optional) Owner of a job cluster (see Owner entity description for more information). |
| name | string | optional | (Required) Descriptive name for the job cluster. It does not have to be unique. |
| jobDescriptor | JobDescriptor | optional | (Optional) A job descriptor template. A job can be created by referencing a job cluster. |
| batch | BatchClusterSpec | optional | |
| service | ServiceClusterSpec | optional | |
| mantis | MantisClusterSpec | optional |
A wrapper type for job cluster id.
| Field | Type | Label | Description |
| id | string | optional |
| Field | Type | Label | Description |
| jobClusterSnapshot | JobClusterNotification.JobClusterSnapshot | optional | |
| snapshotEnd | JobClusterNotification.SnapshotEnd | optional | |
| jobClusterDefinitionUpdate | JobClusterNotification.JobClusterDefinitionUpdate | optional | |
| jobClusterRemoved | JobClusterNotification.JobClusterRemoved | optional | |
| jobAdded | JobClusterNotification.JobAdded | optional | |
| jobFinished | JobClusterNotification.JobFinished | optional |
Emitted when a new job associated with this cluster is created.
| Field | Type | Label | Description |
| jobId | string | optional |
Emitted when a new job is created or existing's job definition is changed.
| Field | Type | Label | Description |
| id | string | optional | |
| descriptor | JobClusterDescriptor | optional |
Notification sent when a job cluster is removed from the system.
| Field | Type | Label | Description |
| id | string | optional |
Full information about a job cluster, including its job ids. Immediately after subscription, one instance of this notification type is send for each known job cluster.
| Field | Type | Label | Description |
| jobCluster | JobCluster | optional | |
| jobIds | string | repeated |
Emitted when a new job associated with this cluster is finished.
| Field | Type | Label | Description |
| jobId | string | optional |
A marker notification, indicating that all known jobs were streamed to the client, and now will follow state changes.
| Field | Type | Label | Description |
| Field | Type | Label | Description |
| page | Page | optional | (Optional) Requested page number/size. |
| fiterlingCriteria | JobClusterQuery.FiterlingCriteriaEntry | repeated | (Optional) Collection of fields and their values for a filter. |
| fields | string | repeated | (Optional) If set, only field values explicitly given in this parameter will be returned. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
A wrapper for a job cluster query reply.
| Field | Type | Label | Description |
| items | JobCluster | repeated | |
| pagination | Pagination | optional |
| Field | Type | Label | Description |
| id | string | optional | |
| enableStatus | bool | optional |
Job descriptor contains full job specification (batch, service or Mantis) sufficient to run a job.
| Field | Type | Label | Description |
| owner | Owner | optional | (Optional) Owner of a job (see Owner entity description for more information). |
| appName | string | optional | (Optional) Arbitrary name, not interpreted by Titus. Does not have to be unique. If not provided, a default name, that depends on job type (batch, service or Mantis) is set. |
| jobGroupInfo | JobGroupInfo | optional | (Optional) Mostly relevant for service jobs, provides further grouping criteria for a job. |
| labels | JobDescriptor.LabelsEntry | repeated | Arbitary set of key/value pairs. Names starting with 'titus' (case does not matter) are reserved for an internal use. |
| containers | JobDescriptor.ContainersEntry | repeated | (Required) Collection of containers to be executed for a job. For batch and service jobs, a single container is required. For Mantis job, number of containers must be equal to number of stages, and each stage must be associated with its own container. |
| batch | BatchJobSpec | optional | |
| service | ServiceJobSpec | optional | |
| mantis | MantisJobSpec | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | Container | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
??? This is not really job group, but a single job identifier. Can we find better name here?
| Field | Type | Label | Description |
| stack | string | optional | (Required) |
| detail | string | optional | (Optional) |
| sequence | string | optional | (Optional) |
A wrapper type for job id.
| Field | Type | Label | Description |
| id | string | optional |
| Field | Type | Label | Description |
| id | string | repeated |
TODO For mantis we need also stage index.
| Field | Type | Label | Description |
| jobId | string | optional | |
| instances | TaskInstances | optional |
| Field | Type | Label | Description |
| page | Page | optional | (Optional) Requested page number/size. |
| fiterlingCriteria | JobQuery.FiterlingCriteriaEntry | repeated | (Optional) Collection of fields and their values for a filter. TODO Should we have oneof data structure so we can implement expressions in the future. |
| fields | string | repeated | (Optional) If set, only field values explicitly given in this parameter will be returned This does not include certain attributes like 'jobId', 'appName' which are always returned. If nested field value is provided, only the explicitly listed nested fields will be returned. For example: tasks.taskId rule will result in including just this value when encoding Task entity. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
A wrapper for job query reply.
| Field | Type | Label | Description |
| items | Job | repeated | |
| pagination | Pagination | optional |
| Field | Type | Label | Description |
| state | State | optional | |
| reason | string | optional | (Optional) Detailed information about why a transition to this state happened. Mostly relevant for FAILED state to further clarify root cause of the failure. |
| Field | Type | Label | Description |
| id | string | optional | |
| enableStatus | bool | optional |
Mantis specific auto-scaling policy. TODO: provide better behavior description
| Field | Type | Label | Description |
| increment | uint32 | optional | Single scale-up increment |
| decrement | uint32 | optional | Single scale-down decrement |
| coolDownSecs | uint64 | optional | A minimum amount of time between two auto-scaling actions |
| strategies | MantisAutoScalingPolicy.StrategiesEntry | repeated | A strategy for named resources (memory, network, cpu, etc). |
???
| Field | Type | Label | Description |
| count | uint32 | optional | |
| of | uint32 | optional |
| Field | Type | Label | Description |
| key | string | optional | |
| value | MantisAutoScalingPolicy.Strategy | optional |
Resource-level consumption evaluation rules
| Field | Type | Label | Description |
| reason | string | optional | ??? |
| scaleDownBelowPct | uint32 | optional | A resource utilization level, which if dropped below, makes it eligible for the scale-down action |
| scaleUpAbovePct | uint32 | optional | A resource utilization level, which if passed over, makes it eligible for the scale-up action |
| rollingCount | MantisAutoScalingPolicy.RollingCount | optional | A time window over which resource utilization is observed. |
Mantis job cluster specification.
| Field | Type | Label | Description |
| enabled | bool | optional | If job cluster is not enabled, all running jobs are terminated, and no new job is allowed to start. |
| min | uint32 | optional | Minimum number of expected jobs to run. If this constraint is violated, a required number of additional jobs is started based on the job cluster definiton. |
| max | uint32 | optional | Maximum number of jobs allowed to run. A new job can be submitted only if this constraint is not violated. |
| cronSpec | string | optional | ??? |
| cronPolicy | string | optional | ??? |
Mantis specific job SLA
| Field | Type | Label | Description |
| runtimeLimitSecs | uint64 | optional | Maximum amount of time in seconds that the job is allowed to run. Time is measured since the job is submitted. |
| minRuntimeSecs | uint64 | optional | Mantis job can be auto-terminated if there is no subscription to it. To prevent early terminations, a minimum running time can be specified via this property. |
| durationType | MantisJobSLA.DurationType | optional | For 'Perpetual' type, do not terminate idle jobs. For 'Transient' jobs, the early termination is on, and is controlled by 'minRuntimeSecs' property. |
| userProvidedType | string | optional | Mantis specific. Users can provide a value to dedup job submissions. Users can “submit-and-connect” to jobs such that only one job per unique value of this type actually is created. Other requests connect to the existing job instead of creating another one. |
Mantis job specification.
| Field | Type | Label | Description |
| name | string | optional | (Required) Arbitrary name, not interpreted by Titus. Does not have to be unique. |
| jobSLA | MantisJobSLA | optional | (Required) Mantis SLA definition definining constraints for job execution (for example max execution time). |
| parameters | MantisJobSpec.ParametersEntry | repeated | (Optional) Arbitrary set of key/value pairs. |
| subscriptionTimeoutSecs | uint64 | optional | ??? |
| stages | MantisStage | repeated | List of Mantis stages. The order of the stages is preserved throughtout the whole life of a job. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
Mantis job definition consists from a seuence of stages. This entity describes a single stage of a job.
| Field | Type | Label | Description |
| instances | TaskInstances | optional | Number of tasks to run. If scaling policy is defined, the number of tasks created will be always within min/max range. |
| containerId | string | optional | Reference to a container from a job definition that holds this job specification. If there is no container with this id, the job submit request is rejected. |
| retryPolicy | RetryPolicy | optional | Task rescheduling policy in case of failure. |
| autoScalingPolicy | MantisAutoScalingPolicy | optional | Job auto-scaling policy |
An owner of a job cluster or a job. If this value is not provided explicitly, a caller's email address from a security context is used for both fields. If the security context does not contain this information, a request is rejected.
| Field | Type | Label | Description |
| ownerEmail | string | optional | |
| teamEmail | string | optional |
Job scaling policy. Each auto-scaling engine is expected to define their own syntax for condition/action fields.
| Field | Type | Label | Description |
| condition | string | optional | An expression defining a condition for action execution. The expression format is auto-scaling engine specific. For example: 'avg(CPUUtilization) > 80%' |
| action | string | optional | Action to execute if condition evalutes to true. The action syntax is auto-scaling engine specific. For example: 'addInstances 1' |
| durationSecs | uint64 | optional | A duration for the condition to hold true, before an action is executed |
| labels | ScalingPolicy.LabelsEntry | repeated | Additional policy attributes. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
Service job cluster specification. Currently there are no batch specific properties.
| Field | Type | Label | Description |
Service job specification.
| Field | Type | Label | Description |
| instances | TaskInstances | optional | Number of tasks to run. If scaling policy is defined, the number of tasks created will be always within min/max range. |
| enabled | bool | optional | Job enable/disable status. If job is disabled, auto-scaling policy rules are not applied. |
| scalingPolices | ScalingPolicy | repeated | Scaling policy associated with this job. |
| retryPolicy | RetryPolicy | optional | Task rescheduling policy in case of failure. |
| containerId | string | optional | Reference to a container from a job definition that holds this job specification. If there is no container with this id, the job submit request is rejected. |
State transition history.
| Field | Type | Label | Description |
| state | string | optional | (Required) State described by this object. |
| timestamp | string | optional | (Required) Time (in RFC-3339 format) at which the transition happened. |
Task is an entity representing running container.
| Field | Type | Label | Description |
| id | string | optional | (Required) TaskId consists of job id, and task identifier (job specific). |
| taskContext | Task.TaskContextEntry | repeated | (Required) Includes: * agent execution environment: 'agent.region', 'agent.zone', 'agent.host', 'agent.instance' * job type specific information: 'task.index', 'task.resubmitOf' (id of task which this task is replacing), 'task.originalId' (id of task which this task is a replacement) |
| state | TaskState | optional | (Required) Last known state of this task. |
| stateChanges | StateChange | repeated | (Required) State transition history. |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
A wrapper type for task id.
| Field | Type | Label | Description |
| id | string | optional |
| Field | Type | Label | Description |
| id | string | repeated |
This data structure is associated with a job, and specifices number of tasks to run (desired). If job supports auto-scaling (service and Mantis jobs), min/max define constraints. At any point in time the condition min <= desired <= max must hold true. The desired state may be changed a user, but also may be changed as a result of auto-scaling action.
| Field | Type | Label | Description |
| min | uint32 | optional | Minimum number of tasks to run. If not set, defaults to 0. |
| max | uint32 | optional | Maximum number of tasks that can be run. If not set, set to 2^31-1 (Integer.MAX_VALUE). |
| desired | uint32 | optional |
| Field | Type | Label | Description |
| jobId | string | optional | (Required) Job id which tasks are queried. |
| page | Page | optional | (Optional) Requested page number/size. |
| fiterlingCriteria | TaskQuery.FiterlingCriteriaEntry | repeated | (Optional) Collection of fields and their values for a filter. |
| fields | string | repeated | (Optional) If set, only field values explicitly given in this parameter will be returned |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Field | Type | Label | Description |
| items | Task | repeated | |
| pagination | Pagination | optional |
| Field | Type | Label | Description |
| state | State | optional | |
| reason | string | optional | (Optional) Detailed information about why a transition to this state happened. Mostly relevant for FAILED state to further clarify root cause of the failure. |
Caller's identity, and their security context.
| Field | Type | Label | Description |
| id | string | optional | (Required) A unique user identifier. Depending on a user type (a person or an application), the format of the id may be different. For example a person's id could be encoded as 'person:<email-address>', and application id as 'app:<aws-account-id>:<app-name>:<app-stack>'. |
| securityContext | UserIdentity.SecurityContextEntry | repeated | (Optional_ Security context data associated with the user (for example user roles). The following names are reserved, and should be used if applicable: * name - caller's name * email - caller's email address |
| Field | Type | Label | Description |
| key | string | optional | |
| value | string | optional |
| Name | Number | Description |
| Perpetual | 0 | |
| Transient | 1 |
A state information associated with a job or with a task. ??? It feels we should have separate states for job (ACTIVE, FINISHED, FAILED)
| Name | Number | Description |
| QUEUED | 0 | |
| DISPATCHED | 1 | |
| STARTING | 2 | |
| RUNNING | 3 | |
| FINISHED | 4 | |
| FAILED | 5 |
| Method Name | Request Type | Response Type | Description |
| CreateJobCluster | JobClusterDescriptor | JobClusterId | Create a new job cluster |
| UpdateJobCluster | JobCluster | Empty | Update a definition of an existing job cluster. |
| RemoveJobCluster | JobClusterId | Empty | Remove an existing job cluster. |
| FindJobClusters | JobClusterQuery | JobClusterQueryResult | Return a collection of jobs matching a given criteria. Not provided by TitusMaster (ony TitusAPI) |
| FindJobCluster | JobClusterId | JobCluster | Returns a job with given id. |
| UpdateJobClusterStatus | JobClusterStatusUpdate | Empty | Mark a job cluster as enabled or disabled. Disabled jobs are not auto-scaled. |
| ObserveJobCluster | JobClusterId | JobClusterNotification | On subscription, sends job cluster entity. After that sends the job cluster definition when updated or job state chage notifications. The stream is closed by server only when the job cluster is removed. |
| ObserveJobClusters | Empty | JobClusterNotification | Equivalent to ObserveJobCluster, applied to all active job clusters. This stream never completes under normal circumstances. |
| CreateJob | JobDescriptor | JobId | Create a new job |
| UpdateJobInstances | JobInstancesUpdate | Empty | Accepts new values for instances of a job. The structure may contain fields that are specific to the engine being used for executing the job. For example, the mantis engine may take a “stageNumber” field to apply the instances values to a specific stage. |
| UpdateJobStatus | JobStatusUpdate | Empty | Mark a job as enabled or disabled. Disabled jobs are not auto-scaled. |
| FindJobs | JobQuery | JobQueryResult | Return a collection of jobs matching a given criteria. Not provided by TitusMaster (ony TitusAPI) |
| FindJob | JobId | Job | Returns a job with given id. |
| ObserveJob | JobId | JobChangeNotification | On subscription, sends complete job (definition and active tasks). After that sends distinct job definition or task state chage notifications. The stream is closed by server only when the job is finished, which happens after 'JobFinished' notification is delivered. |
| ObserveJobs | Empty | JobChangeNotification | Equivalent to ObserveJob, applied to all active jobs. |
| KillJob | JobId | Empty | Kill all running tasks of a job, and than terminate it. |
| KillJobs | JobIds | Empty | Kill all jobs given in the request. For partial failures, more information is provided in error reply. |
| FindTask | TaskId | Task | Get a task with the given id. |
| FindTasks | TaskQuery | TaskQueryResult | Return a collection of tasks belonging to a job specified in the 'TaskQuery' request, matching a given criteria. Not provided by TitusMaster (ony TitusAPI) |
| KillTask | TaskId | Empty | Kill a task with given id. Depending on job type, the task might be immediately restarted/ replaced with a new one. |
| KillTasks | TaskIds | Empty | Kill a collection of tasks. Tasks do not have to belong to the same job. For partial failures, more information is provided in error reply. |
| .proto Type | Notes | C++ Type | Java Type | Python Type |
| double | double | double | float | |
| float | float | float | float | |
| int32 | Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead. | int32 | int | int |
| int64 | Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead. | int64 | long | int/long |
| uint32 | Uses variable-length encoding. | uint32 | int | int/long |
| uint64 | Uses variable-length encoding. | uint64 | long | int/long |
| sint32 | Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s. | int32 | int | int |
| sint64 | Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s. | int64 | long | int/long |
| fixed32 | Always four bytes. More efficient than uint32 if values are often greater than 2^28. | uint32 | int | int |
| fixed64 | Always eight bytes. More efficient than uint64 if values are often greater than 2^56. | uint64 | long | int/long |
| sfixed32 | Always four bytes. | int32 | int | int |
| sfixed64 | Always eight bytes. | int64 | long | int/long |
| bool | bool | boolean | boolean | |
| string | A string must always contain UTF-8 encoded or 7-bit ASCII text. | string | String | str/unicode |
| bytes | May contain any arbitrary sequence of bytes. | string | ByteString | str |


Creative Engineer With A Passion For Design & People
Learn MoreEx-opera singer, ex-marketing director, ex-life coach CEO, CMO & COO, ex-permaculture farmer. Current: Full Stack Developer focused on bringing a human connection to the software world. Open to relocation someplace warmer. Nothing satisfies me more than connecting and developing relationships with people, solving problems, and helping to make my corner of the world a bit brighter. Always humming.
With a wildly diverse background, I approach problem solving from a singularly unique place.
One of my greatest strengths is that I never stop learning. I have a cool tree analogy to tell that goes here.
I love working with others and know that having diverse opinions makes for a better outcome.
I genuinely care about the work I do, and the people it touches. If it's not made with love, I'm not interested.
Interested In Getting In Touch Or Hearing A Great Joke? Reach Out & I'll Get In Touch Shortly!


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BBC Blogs article about Redux


WITNESS LIST Business & Industry Committee April 2, 1997-2:00P HB 384 For: CRAIG, MIKEL J. (SELF) PITTS, JIM (SELF) STINSON, BILL (TX.ASS.OF REALTORS) HB 533 For: BOST, JAMES A. (SELF) CLEMONS, HEYWOOD C. (SELF) GAEDCKE, GILBERT D. (SELF) PERRYMAN, WHIT (SELF) STEVES, FRANK (SELF) SWINFORD, DAVID (SELF) TUPPER, CHARLES, JR. (SHIA) VAN DE PUTTE, HENRY (SELF) WILEY, GARY N. (SELF) Against: CATES, PHIL (EQUIP.MANUFATURE'S INST) HB 1521 On: VALLEJO, ROGER (TX.COMPTROLLERS OFFICE) HB 1650 For: CANADAY, R. DON (FACT) HARGIS, RICHARD (HOUSTON ASS.OF REALTORS) HOCHMAN, JAMES A. (CB COMMERCIAL) MCDONALD, GREG (NTCAR) MINTZ, DAVID (TX.APARTMENT ASS.) NICHOLS, JOHN (TX.ASS.OF REALTORS) PLACE, ALLEN (SELF) STONE, JOHN M. (JOHN M. STONE COMPANY) WALKER, RONALD (TX.ASS.OF REALTORS) WOLFE, JACK (SELF) HB 1665 For: OLIVEIRA, RENEE (SELF) SOMMER, JOHN (VALERO) WALKER, ROLAND J. (TX.ASS.OF REALTORS) On: MUNOZ, SERGIO (VALLEY ASS.FOR QUALITY) HB 1742 For: BOSSE, FRED (SELF) JOHNSON,ROBERT E., JR. (CONCERNED BUILDERS TX) KRUGH, JOHN R. (PERRY HOMES) LEIGH, WILLIAM C. (LEIGH-MEYER, INC) LITTLE, WILLIAM T. (GR.HOUSTON BUILDERS ASS) WILLIAMS, MIKE (SELF) HB 2271 For: RENTZ, REBECCA (HARRIS CO.JUDGE'S OFF.) THOMPSON, SENFRONIA (SELF) HB 2802 For: ADKINS, RAY (TX.TENANTS' UNION) BRIESEMEISTER, JANEE (CONSUMERS UNION) MASTERSON, DOROTHY (HOUSING CRISIS CENTER) NAISHTAT, ELLIOTT (SELF) O'HARA RORY THOMAS (SELF) Against: GALLO, SHERI PERRY (TX.APARTMENT ASS.) GARCIA, CHRISTINA L. (TX.APARTMENT ASS.) MINTZ, DAVID (TX.APARTMENT ASS.) NICHOLS, JOHN (TX.ASS.OF REALTORS) TATE, KIRK H. (TX.APARTMENT ASS.) On: FUCHS, FRED (SELF) HB 2988 For: GREENLEE, STEWART DAVID (TX.BUS.LAW FOUNDATION) KNEPP, CHRISTOPHER A. (TX.EMPLOYMENT LAW COUN.) THOMPSON, SENFRONIA (SELF) HB 3139 On: KARP, JUNE (ROC ON WORKERS' COMP.) HB 3161 On: KARP, JUNE (ROC ON WORKERS' COMP.) HB 3203 For: CRAVEN, ERIC (TX.ELETRIC CO-OPS)


Super Junior's Shindong sheds 17kg (37 lbs) in just a month
by olmalSuper Junior's Shindong lost a whopping 17kg (37 lbs) in just 4 weeks!
When he announced that he will be going on a weight loss journey for his healthier self, he weighed 116kg. Just in a month, he now weighs 99kg. He has also shared that his waist went from 41 inches to 36 inches. He said he is very happy to see his old clothes getting big and feeling more energetic when he is performing on stage.
His goal weight is 75kg and other members are encouraging his fitness journey. Are you also rooting for his weightloss journey?


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New York City is home to over 8 million people from all around the world, and the best part about that is there is not a moment when you will have nothing to do.
New York City is the city that never sleep, and so will you find something or the other to do. The followin list was compiled by the staff for you:


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