|
|
Basic CT Questions |
6 |
2 years 14 weeks ago by niallel |
2 years 14 weeks ago by thiebolt |
|
|
BASE RF FAIL |
4 |
4 years 43 weeks ago by bramper |
4 years 42 weeks ago by glyn.hudson |
|
|
Bad reception range with emonTH |
6 |
3 years 8 weeks ago by Miko95 |
3 years 7 weeks ago by Miko95 |
|
|
avrdude: stk500_recv(): programmer is not responding |
3 |
1 year 10 weeks ago by amgican |
1 year 10 weeks ago by Robert Wall |
|
|
avrdude: stk500_getsync(): not in sync: NanodeRF - RESOLVED |
6 |
4 years 42 weeks ago by esawyja |
4 years 42 weeks ago by robw |
|
|
Availability of emonTx PCB |
5 |
4 years 50 weeks ago by Guest |
4 years 49 weeks ago by Guest |
|
|
Attaching thermal sensors to hot water cylinder? |
4 |
2 years 39 weeks ago by JetJackson |
2 years 38 weeks ago by boelle |
|
|
Attaching CT's and emonGLCD |
2 |
1 year 6 weeks ago by billvolz |
1 year 6 weeks ago by Robert Wall |
|
|
ATMEL ICE + EmonTx V3.4 |
0 |
1 year 16 weeks ago by Morzel |
n/a |
|
|
ATmega328 5v to 3.3v, how to? |
0 |
4 years 10 weeks ago by footswitch |
n/a |
|
|
Arduino YUN and EmonTX shield - first impressions |
3 |
3 years 3 weeks ago by xerox1821 |
2 years 44 weeks ago by chacal |
|
|
Arduino Yún |
0 |
3 years 33 weeks ago by dBC |
n/a |
|
|
Arduino Uno + Ethernetshield + EmonTX-Shield possible? |
1 |
2 years 26 weeks ago by ahhk |
2 years 26 weeks ago by sumnerboy |
|
|
Arduino uno + ethernet shield |
2 |
2 years 47 weeks ago by Larsjo |
2 years 39 weeks ago by ageurtse |
|
|
Arduino UNO + EmonTX shield + TFT LCD Touch w/ SD Card, possible combination? |
1 |
2 years 22 weeks ago by Xavi92 |
2 years 21 weeks ago by Xavi92 |
|
|
Arduino UNO + emonTx Shield + Raspberry Pi |
5 |
3 years 32 weeks ago by Guest |
3 years 31 weeks ago by Jérôme |
|
|
Arduino to Triac connection .......... |
3 |
3 years 35 weeks ago by Guest |
3 years 34 weeks ago by richmc |
|
|
Arduino showing error when uploading |
4 |
4 years 48 weeks ago by logic |
4 years 48 weeks ago by glyn.hudson |
|
|
Arduino Shield Support |
2 |
3 years 21 hours ago by rushed |
3 years 18 hours ago by Robert Wall |
|
|
Arduino PWM Frequencies & RFM12B |
0 |
3 years 5 weeks ago by charliemic |
n/a |
|
|
Arduino ports used |
12 |
1 year 10 weeks ago by jeffreamartin |
1 year 8 weeks ago by jeffreamartin |
|
|
Arduino not picking up libraries and firmware |
3 |
3 years 48 weeks ago by roblog |
3 years 48 weeks ago by roblog |
|
|
Arduino mega internal voltage reference |
0 |
3 years 33 weeks ago by platypus |
n/a |
|
|
Arduino Mega 2560 + Wiznet w5100 based Arduino shield |
2 |
4 years 8 weeks ago by Guest |
4 years 8 weeks ago by Guest |
|
|
Arduino MEGA 2560 + ethernet Shield + emonTxShield+I2C-LCD |
1 |
3 years 4 hours ago by FidelCastor |
2 years 50 weeks ago by FidelCastor |
|
|
Arduino mega |
0 |
2 years 3 weeks ago by zeno |
n/a |
|
|
Arduino measuring mains current |
6 |
3 years 51 weeks ago by floehopper |
3 years 50 weeks ago by calypso_rae |
|
|
Arduino Energy Shield |
1 |
5 years 34 weeks ago by Guest |
5 years 33 weeks ago by glyn.hudson |
|
|
Arduino energy monitor |
2 |
4 years 26 weeks ago by Guest |
4 years 26 weeks ago by Robert Wall |
|
|
Arduino Due (ARM CPU at 84 MHz) + emonTx Shield |
9 |
4 years 10 weeks ago by fluppie007 |
3 years 3 weeks ago by ageurtse |
|
|
Arduino and several SCT-013-000 sensors |
3 |
1 year 31 weeks ago by mel |
1 year 31 weeks ago by Robert Wall |
|
|
Arduino and RFM12B connections |
3 |
2 years 29 weeks ago by Guest |
2 years 29 weeks ago by jb79 |
|
|
Arduino 1.6.7 I2C LCD library character issue |
1 |
52 weeks 1 hour ago by glyn.hudson |
52 weeks 49 min ago by glyn.hudson |
|
|
Arduino - > debian server |
1 |
3 years 9 weeks ago by Guest |
3 years 9 weeks ago by Jérôme |
|
|
Arduberry - a kickstarter project |
1 |
2 years 48 weeks ago by michaeljquinn |
2 years 48 weeks ago by ukmoose |
|
|
Anyone can help me with a soldering going bad way ? |
7 |
3 years 36 weeks ago by lunarok |
3 years 36 weeks ago by richmc |
|
|
Any plans to update the emontx shield to being similar to v3.4? |
2 |
1 year 22 weeks ago by bruce_miranda |
1 year 22 weeks ago by Robert Wall |
|
|
Analogue, disk type meters |
24 |
4 years 48 weeks ago by geoffs |
3 years 31 weeks ago by Robert Wall |
|
|
an ultra compact emonTx for installation inside wall plugs |
0 |
2 years 20 weeks ago by frm |
n/a |
|
|
Am I exporting or importing? |
2 |
4 years 51 weeks ago by Guest |
4 years 50 weeks ago by glyn.hudson |
|
|
Alternative power supply connections |
1 |
1 year 43 weeks ago by Bbaass_TMH |
1 year 43 weeks ago by Robert Wall |
|
|
Alternative Power Supply |
7 |
5 years 1 week ago by seannation |
4 years 41 weeks ago by Guest |
|
|
Air Quality Egg Sensor shield with additional sensors? |
1 |
3 years 24 weeks ago by Wxll |
3 years 24 weeks ago by TrystanLea |
|
|
aerial position on rfm modules and pi case physical interference |
8 |
47 weeks 3 days ago by Bramco |
47 weeks 2 hours ago by Bramco |
|
|
Advice requested on EmonTX analogue input voltage & impedance |
3 |
2 years 51 weeks ago by Ian Eagland |
2 years 51 weeks ago by Ian Eagland |
|
|
Advice needed |
2 |
2 years 41 weeks ago by Guest |
2 years 41 weeks ago by Guest |
|
|
Advantages of using the ATMega32U4 (Leonardo) chip for power measurement |
24 |
3 years 33 weeks ago by MartinR |
3 years 32 weeks ago by dBC |
|
|
adjusting the range of SCT-013-000 |
6 |
3 years 29 weeks ago by Guest |
2 years 39 weeks ago by Lucy |
|
|
Adjustable gain monitoring |
6 |
3 years 2 weeks ago by arnoldh |
3 years 2 weeks ago by keduro |
|
|
ADE7753 - compared to emon |
4 |
2 years 49 weeks ago by michaeljquinn |
2 years 49 weeks ago by JSHarris |


Step 3 Linking FreeRADIUS
Full blown authentication system
- Installation and basic configuration of OpenLDAP and MITv5 Kerberos
- Linking OpenLDAP with MITv5 Kerberos
- Linking FreeRADIUS
- Replication
- Hardening your setup
- Configure your clients
- Varia
apt-get install freeradius-krb5 freeradius
Add a principal for the radius service:
kadmin.local Authenticating as principal<EMAIL_ADDRESS>with password. kadmin.local: addprinc radius/provider.example.com WARNING: no policy specified for<EMAIL_ADDRESS>defaulting to no policy Enter password for principal<EMAIL_ADDRESS>Re-enter password for principal<EMAIL_ADDRESS>Principal<EMAIL_ADDRESS>created.
Add it to the key tab:
kadmin.local: ktadd radius/radius/provider.example.com Entry for principal radius/radius/provider.example.com with kvno 2, encryption type aes256-cts-hmac-sha1-96 added to keytab WRFILE:/etc/krb5.keytab. Entry for principal radius/radius/provider.example.com with kvno 2, encryption type arcfour-hmac added to keytab WRFILE:/etc/krb5.keytab. Entry for principal radius/radius/provider.example.com with kvno 2, encryption type des3-cbc-sha1 added to keytab WRFILE:/etc/krb5.keytab. Entry for principal radius/radius/provider.example.com with kvno 2, encryption type des-cbc-crc added to keytab WRFILE:/etc/krb5.keytab.
Edit the freeRADIUS kerberos module:
vim /etc/freeradius/modules/krb5
Add the principal you just created and the key tab that contains the password:
krb5{ keytab = /etc/krb5.keytab service_principal = radius/provider.example.com }
vim /etc/freeradius/users
At the top of the file, set the authentication type to Kerberos by default:
DEFAULT Auth-Type = Kerberos
Add the hostname and port for the Radius server in the realm EXAMPLE.COM:
vim /etc/freeradius/proxy.conf
realm EXAMPLE.COM{ authhost = provider.example.com:1812 accthost = provider.example.com:1813 secret = testing123 }
vim /etc/freeradius/sites-enables/default
... authenticate { … Auth-Type Kerberos{ krb5 } …
Test it by issuing the following command:
radtest radius/provider.example.com <IP_ADDRESS> 0 testing123
If this works, you can try to do the same on a client on your network. Do not forget to install freeradius-utils:
apt-get install freeradius-utils Add the client to /etc/freeradius/clients.conf: client w.x.y.z{ secret = testing123 nastype = other }
This was step 3. To proceed, go to step 4.


KRBTGT account pwd / hash only changes- Upgrade of domain functional level (NT5 -> NT6)
- Bare metal recovery using restore media
- Manually changed (compromise recovery)
- In most enterprises, this password hasn't changed in years
Tickets are ASN.1 encoded
Use OpenSSL or your favorite tool
Kerberos ticket (and KRB-CRED format)
http://www.ietf.org/rfc/rfc4120.txt
Microsoft Specific PAC
http://msdn.microsoft.com/library/cc237917.aspx


Repository URL:
Must be a publicly accessible URL ending in .git
Branch:
For instance main or master. Leave blank to check out the default branch of the repository
Scanner defaults: (you can always adjust these settings later)
Excludes files (GLOB):
Potentially problematic words and context: word: context key/value pairs of words and their context
Exclude contexts: This must be a list of regular expressions that matches contexts in which to ignore word matches.
Add a new project repository:
Organization ID:
Note: only public repositories will be checked. Currently only GitHub is supported
Scanner defaults: (you can always adjust these settings later)
Excludes files (GLOB):
Potentially problematic words and context: word: context key/value pairs of words and their context
Exclude contexts: This must be a list of regular expressions that matches contexts in which to ignore word matches.


Round 1
win!
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|
Falaise
2.1.0
SuperNEMO Software Toolkit
|
Some geometry utility. More...
#include <falaise/snemo/geometry/utils.h>
Public Types | |
| enum | direction_index { DIRECTION_INVALID = -1, DIRECTION_BACK = 0, DIRECTION_FRONT = 1, DIRECTION_LEFT = 2, DIRECTION_RIGHT = 3, DIRECTION_BOTTOM = 4, DIRECTION_TOP = 5 } |
| Direction identifier constants in the SuperNEMO reference frame. More... | |
| enum | side_index { SIDE_INVALID = -1, SIDE_BACK = DIRECTION_BACK, SIDE_FRONT = DIRECTION_FRONT } |
| Side identifier constants (X axis in the SuperNEMO reference frame) More... | |
| enum | grid_neighbour_mask_type { NEIGHBOUR_NONE = 0x0, NEIGHBOUR_SIDE = 0x1, NEIGHBOUR_DIAG = 0x2, NEIGHBOUR_FIRST = NEIGHBOUR_SIDE | NEIGHBOUR_DIAG, NEIGHBOUR_SECOND = 0x4 } |
| Neighbourg flag on a 2D-grid [s][s][s][s][s] [s][D][S][D][s] [s][S][x][S][s] [s][D][S][D][s] [s][s][s][s][s]. More... | |
Static Public Member Functions | |
| static const std::string & | side_back_label () |
| Return a label representing the "back" side. More... | |
| static const std::string & | side_front_label () |
| Return a label representing the "front" side. More... | |
| static bool | is_side_label_valid (const std::string &label_) |
| Check if a label represents a valid side. More... | |
| static int | get_side_from_label (const std::string &label_) |
| Get the side code from a label. More... | |
Static Public Attributes | |
| static const unsigned int | NSIDES = 2 |
| static const unsigned int | NSUBMODULES = NSIDES |
Some geometry utility.
Direction identifier constants in the SuperNEMO reference frame.
|
static |
Get the side code from a label.
|
static |
Check if a label represents a valid side.
|
static |
Return a label representing the "back" side.
|
static |
Return a label representing the "front" side.
|
static |
|
static |


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This website was created by the Web Technologies Group of the Rensselaer Student Senate.


OBO is an open community and, by joining the initiative, the authors of an ontology commit to its maintenance in light of scientific advance and to working with other members to ensure the improvement of these principles over time. The OBO Foundry is an attempt to apply the scientific method to the task of ontology development, and the scientific method rests on constant criticism and on the assumption that no resource will ever exist in a form in which it cannot be further improved.
The current list of OBO Foundry Principles are listed on the OBO Foundry Wiki:
Note that as of July 2011, every principle has its own unique identifier. The principles are divided into two categories:
To comment on, or ask questions about, any of these principles please send e-mail to the OBO discussion list. .


To see if those perceptions reflect reality, The Daily Californian analyzed more than 1.5 million grades given over the last nine years and reported through Cal Answers, a repository for campus data. We limited our analysis to undergraduate courses, considering only the departments that have issued more than 1,000 letter grades. These figures reflect grades awarded in classes offered by a particular department, not the GPA of students in a particular major.
Grading policies vary between departments and grade averages don't necessarily measure the difficulty of a department's courses. Still, we found a significant gap — more than one letter grade — between the departments with the highest and lowest averages.

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Angular Universal Addon allow you to enable Server Side Rendering (SSR) on your angular application
Advantages
- Facilitate web crawlers (SEO)
- Improve performance on mobile and low-powered devices
- Show the first page quickly
To turn a regular angular application to a Universal App you will need to
-
Install
@angular/platform-server
- a server-side app module,
app.server.module.ts
- an entry point for the server-side,
main.server.ts
- a TypeScript config file,
tsconfig.server.json
-
Modify your angular.json config files
-
Build your browser-side and server-side angular sources in AOT


--- title: dl_pipeline keywords: fastai sidebar: home_sidebar summary: "A general deep learning pipeline (in construction) for kaggle competitions and other projects." description: "A general deep learning pipeline (in construction) for kaggle competitions and other projects." nb_path: "nbs/index.ipynb" ---
Setup with pip:
pip install dl_pipeline
Clone and editable setup:
git clone https://github.com/mnpinto/dl_pipeline
cd dl_pipeline
pip install -e .
Writeup: https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/220306
Update 1: With this post processing the final score improves to 0.950 and R
#!/bin/bash
arch='densenet121'
model_name='model_0'
sample_rate=32000
n_mels=128
hop_length=640
for fold in 0 1 2 3 4
do
echo "Training $model for fold $fold"
kaggle_rainforest2021 --fold $fold --model_name $model_name \
--model_arch $arch --sample_rate $sample_rate --n_mels $n_mels \
--hop_length $hop_length --bs 32 --head_ps 0.8 \
--tile_width 1024 --mixup true >> log.train
done
for tw in 64 128 256
do
echo "Generate predictions for $model with tile_width of $tw"
kaggle_rainforest2021 --run_test true --model_name $model_name \
--model_arch $arch --sample_rate $sample_rate --n_mels $n_mels \
--hop_length $hop_length --tile_width $tw \
--save_preds true >> log.predict
done


 Click "start" and see if you can win the high score!
Start


Welcome to Epicodus Theatre
Movies currently showing:
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Category
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Kid
Matinee
Calculate Price
Total Amount Due:


Software
skarnet.org
s6-rc
What is it ?
s6-rc is a service manager for
s6-based
systems, i.e. a suite of programs that can start and stop
services, both long-running daemons and one-time
initialization scripts, in the proper order according to a
dependency tree. It ensures that long-running daemons are
supervised by the s6 infrastructure, and that one-time
scripts are also run in a controlled environment.
Installation
Requirements
- A POSIX-compliant system with a standard C development environment
- GNU make, version 3.81 or later
- skalibs version
<IP_ADDRESS> or later. It's a build-time requirement. It's also a run-time
requirement if you link against the shared version of the skalibs library.
- execline version
<IP_ADDRESS> or later. It's a build-time and run-time requirement.
- s6 version
<IP_ADDRESS> or later. It's a build-time and run-time requirement.
Licensing
s6-rc is free software. It is available under the
ISC license.
Download
Compilation
- See the enclosed INSTALL file for installation details.
Upgrade notes
- This page lists the differences to be aware of between
the previous versions of s6-rc and the current one.
Reference
Commands
Offline tools: creating and managing a compiled service database
Online tools: managing your live services
Upgrading from earlier s6-rc database formats
Programs used internally
Related resources
I am working on version <IP_ADDRESS> of s6-rc: more complete and more
user-friendly. It is a huge project, so I have a
call for funds
for it, in order to work on it full-time. (I have found a sponsor and am
actually working on it!)
Discussion
- s6-rc is discussed on the
skaware mailing-list.
Similar work
- anopa is another service manager
for s6, with a similar design (but no compilation phase).
- nosh
is a complete init system and service manager for Unix.


ONNX Versioning¶
This document describes the rules for versioning ONNX. MUST, SHOULD et al are used consistent with RFC2119.
Versioning Principles¶
ONNX defines the versioning policy and mechanism for three classes of entities:
The intermediate representation (IR) specification, which is the abstract model for graphs and operators and the concrete format that represents them. These are always versioned atomically and are referred to as the IR version.
Operator specifications that may be referenced by a given ONNX graph. We refer to this as the operator version.
A defined/trained model that defines a specific graph in terms of specific operators. We refer to this as the model version.
The versioning of all three of these entity types is distinct and largely independent. The IR specification evolves at a different (generally slower) rate than the operator specifications. Model versions are entirely independent of the other two versions.
Specific policies for version management are mandated only for IR version and operator version. For model versioning, they are merely recommendations. For model versioning, ONNX users and systems MAY follow whichever local customs make sense; however, to facilitate easily managing shared collections of ONNX models, they SHOULD adhere to the policies described under model versioning.
New IR and operator versions are released as part of ONNX releases, which have their own versioning scheme. The release versioning scheme is not described as part of the standard itself. It is discussed in the ONNX release management document.
Semantic Versioning or Simple Numbers?¶
The ONNX versioning system allows for simple monotonically increasing numbers or semantic versioning (SemVer). For IR and operator sets, versioning is based on simple numbers. For models, ONNX does not require any scheme, but recommends a set of shared conventions.
Which versioning scheme is in use by a model is made clear by inspecting the most significant four bytes, which MUST be non-zero when using semantic versioning and MUST be zero when using simple numbers. In other words, when using SemVer, at least one of the MAJOR or MINOR numbers must be non-zero.
SemVer, Files and Consumers¶
For model and release versioning, ONNX builds on the principles and syntax defined by SemVer 2.0.0. Throughout this document, we use the terms breaking change, non-breaking change, and patch consistent with SemVer 2.0.0.
Because ONNX models are serialized files (not APIs), it’s worth making clear the relationship between a serialized model and a piece of software that consumes that model. As a rough approximation, the serialized model plays the role of an API’s callee, while the consumer of the serialized model plays the role of the API’s caller.
The ONNX versioning principles are based on the robustness principle: “be conservative in what you do, be liberal in what you accept from others”.
A producer of a given ONNX model (and the ONNX specification itself) MUST strictly adhere to the rules for breaking vs. non-breaking changes defined in this specification.
A consumer of a given ONNX model SHOULD consume an updated ONNX file, provided there are no breaking changes in the new ONNX file’s IR version, referenced operator versions, or model version (meaning the MAJOR version numbers have not changed between the two ONNX files).
A consumer of a given ONNX model MAY consume an updated ONNX file, provided there are one or more breaking changes in the new ONNX file’s IR version, referenced operator versions, or model version.
Serializing SemVer version numbers in protobuf¶
For efficiency, ONNX serializes the MAJOR, MINOR, and PATCH values as a bit-packed 64-bit integer; the two most significant bytes are the MAJOR component, the next two most significant bytes are the MINOR component, and the least significant four bytes are the PATCH component.
For example, 1.2.345 is represented as 0x0001000200000159.
Pre-release and build metadata are not stored in the model.
IR versioning¶
The IR format is versioned using simple numbers, which MUST be monotonically increasing. Breaking changes to the format or semantics of the ONNX specification require an increment of the version. Non-breaking changes to the IR format do not require changing the version number.
NOTE: breaking changes include those that do not alter the serialized binary format, but still break software using libraries that write or read it. For example, changing the spelling of a message property will cause code accessing the property break.
The IR format adheres to the versioning guidelines defined in the Updating a Message Type section of the proto3 specification.
As a general principle, implementations SHOULD be robust in the face of missing fields. However, to ensure basic interoperation, a subset of message fields will be marked as required for a given IR version and all producers MUST set these fields correctly. Required fields MUST always be marked with the comment:
// This field MUST be present for this version of the IR.
For example, the ModelProto.ir_version
property MUST be present in every model. The ONNX checker (onnx/checker.py
) will enforce these rules.
Because the protocol buffer message definitions (.proto / .proto3 files) are expected to be consumed by multiple independent developers, changes to those definitions SHOULD NOT break code that depends on generated language bindings (e.g., changing the type of an existing field).
Operator versioning¶
The IR can evolve independently from the set of operators. Operators represent both the signature and semantics of a given operation. Operators are abstract interfaces in that they do not imply a specific implementation; rather, they are simply the contract between a model author and the implementations that model may execute on.
A given operator is identified by a three-tuple: (domain, op_type, since_version)
, written as domain.op_type:since_version
in prose (e.g., com.acme.FastConv:3
). since_version
is the version of the operator set that introduced the operator. Breaking operator changes include:
Adding/removing/renaming an attribute. This even includes the case of adding a new optional attribute, where omitting the attribute would imply a default value yielding semantics identical to the previous operator version.
Adding/removing/reordering inputs or outputs.
Adding/removing types supported by inputs and outputs, and changing types used by attributes.
Supporting new behavior even when the existing parameter signature is otherwise identical (e.g. implicitly supporting tensor broadcasting in the Mean operator).
The following are not breaking:
Clarifications of specification ambiguities to match prevailing implementation practice.
Changes to the semantics of an operator or function MUST be introduced in a new operator, which MUST be introduced in a new operator set.
In practice, this means that BC-breaking changes in the ONNX repository require contributors to follow these steps:
Increment the maximum version in
DomainToVersionRange
.Copy the old operator schema to an
old.cc
file.Update the
SinceVersion
signifier to the new max version from step (1).Register the new operator in the corresponding
operator_sets
header file.Add a version adapter to
convert.h
so that the version converter can upgrade the old version of the operator to the new one. This can be aCompatibleAdapter
in case operators following the old schema are still valid under the new one (which is usually true).A version adapter to downgrade the new operator to the older version can also be added to
convert.h
but it’s not mandatory.
How nodes bind to operator declarations is strictly defined, and are designed to increase model compatibility across ONNX implementations, in the spirit of the conservative clause of the robustness principle.
How ONNX implementations bind an operator declaration to a specific implementation is outside the scope of this specification. Implementations of ONNX MAY elect to introduce more sophisticated operator declaration/implementation binding modes, in the spirit of the liberal clause of the robustness principle.
Operator sets¶
ONNX uses operator sets to group together immutable operator specifications. An operator set represents a specific version of a domain, indicated by a pair (domain, version). This represents the set of all operators belonging to the specified domain with the specified version (referred to as the opset_version
). When the inventory of a given operator set changes either by addition, removal, or a change in semantics of a contained operator, its version MUST increase.
Models declare which operator sets they require as a list of (domain, opset_version)
pairs in ModelProto.opset_import
. The empty string (“”) domain indicates the operators defined as part of the ONNX specification; other domains correspond to operator sets of other vendors (meaning they can be used to provide vendor-specific extensions to ONNX). The union of the operator sets specified by a given model MUST have a compatible operator declaration for each node in the model’s graph.
Example¶
This section is not normative and informational only.
Given the following operator sets:
OpSet |
Operators |
Comments |
|---|---|---|
1 |
{A} |
A introduced |
2 |
{A, B} |
B introduced |
3 |
{A’, B, C} |
A updated (to A’), C introduced |
4 |
{B, C’} |
A removed, C updated (to C’) |
The operators for a given operator set will have the following since_version
values:
Operator |
OpSet 1 |
OpSet 2 |
OpSet 3 |
OpSet 4 |
|---|---|---|---|---|
A |
1 |
1 |
3 |
- |
B |
- |
2 |
2 |
2 |
C |
- |
- |
3 |
4 |
Notes:
Values that are new or updated from a previous OpSet version are in bold.
Model versioning¶
This section of the specification is not normative. It simply outlines a set of recommended practices.
Model authors and applications/systems MAY elect to ignore the model versioning mechanism and policy rules. For models that will be shared across developers, teams, or organizations, model authors and applications/systems SHOULD adhere to the following version policies:
Signature Changes¶
Breaking changes to the ModelProto.graph.GraphProto.input or .output MUST increment the MAJOR version of
ModelProto.model_version
. Breaking changes include:Breaking changes to the semantics of an input or output (e.g., changing the required contents of an input tensor from a color image to a black and white image).
Changing the declared type of an input or output to an incompatible type (e.g.,
tensor(int)->tensor(string)
).Adding a new input for which there is no meaningful or specified default value. Recall that default values for inputs are specified in the initializer list.
Removing an existing output for which there is no meaningful or specified default value.
Non-breaking changes to the ModelProto.graph.GraphProto.input or .output MUST increment the MINOR version of
ModelProto.model_version
. Non-breaking changes include:Changing the declared type of an input or output to a compatible/widening type (e.g.,
tensor(int32)->tensor(int64)
,tensor(float16)->tensor(float32)
).Adding a new input for which there is a meaningful or specified default value.
Adding new behavior that is only triggered in the presence of inputs that were not possible in prior versions of the graph (typically by the presence of a new input or allowing a previously invalid input value).
Accuracy or performance changes¶
Changes that impact accuracy or performance significantly but do not change the model’s inputs or outputs SHOULD increment the PATCH version of ModelProto.model_version
.
Released Versions¶
ONNX version |
IR version |
Opset version ai.onnx |
Opset version ai.onnx.ml |
Opset version ai.onnx.training |
|---|---|---|---|---|
1.0 |
3 |
1 |
1 |
- |
1.1 |
3 |
5 |
1 |
- |
1.1.2 |
3 |
6 |
1 |
- |
1.2 |
3 |
7 |
1 |
- |
1.3 |
3 |
8 |
1 |
- |
1.4.1 |
4 |
9 |
1 |
- |
1.5.0 |
5 |
10 |
1 |
- |
1.6.0 |
6 |
11 |
2 |
- |
1.7.0 |
7 |
12 |
2 |
1 |
1.8.0 |
7 |
13 |
2 |
1 |
1.8.1 |
7 |
13 |
2 |
1 |
1.9.0 |
7 |
14 |
2 |
1 |
1.10.0 |
8 |
15 |
2 |
1 |
1.10.1 |
8 |
15 |
2 |
1 |
1.10.2 |
8 |
15 |
2 |
1 |
A programmatically accessible version of the above table is available here. Limited version number information is also maintained in version.h and schema.h. Please update all whenever a new version of ONNX is released.


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{% extends 'stackdio/page.html' %} {% load staticfiles %} {% block title %}Create User{% endblock %} {% block user-class %}active{% endblock %} {% block stylesheets %} {{ block.super }} {% endblock %} {% block page-content %}
After you press 'Create User', an email will be sent to the provided email address with information about how to set up a password.
There is no default password, so the new user will not be able to login until setting up a password via the link in the email.


{{!-- notification_bar - Show errors and notification messages ======================================================== The notification_bar partial renders notification messages. It can be used on any page and will render the `notification` object in the context. - `notification` : An (optional) Notification object, whose presence indicates that an error or event has occurred. `notification` may be a single Notification or an Array of Notification objects. A Notification contains the following properties: - `message` : A String containing a user-friendly message. - `severity`: A String indicating the type of notification. This may have any value, but will typically be one of 'error', 'warn', 'info', or 'affirm'. (optional) Example: {{> notification_bar }} --}} {{#notification}}
{{/notification}}


Coupon Alert: Save on Toys R Us, Toms, Shutterfly + Enter Our Holiday Sweepstakes!
SuperShopper eNewsletter


Please watch some of these videos to learn why we have chosen to teach robotics to our students!
Coming Soon!
Newcastle Robotics is an after school program. We will have more information available in the fall of 2015 when school starts back up.
However, we wanted to get some basic information out there to introduce the program and have a place for contact for interested parents and students.
If you have any questions or would like to contact us for any reason, please use the form below.
The team builds and programs robots to complete various competitive challenges. These challenges, as well as the curriculum we use to teach, are provided to us by the Junior Botball Challenge administered by the KIPR organization.
They learn engineering concepts to build and construct their robots. They are provided some basic building materials such as Lego bricks, metal construction plates, etc. but can also use any other materials needed to complete their design.
They then begin to "teach" their robot how to interact with its environment by programming the robot controller. They start by learning the basics of programming: what makes up a program, how to command the robot, and eventually learning logic structures to allow the robot to make decisions based on sensor feedback.
We currently have 2 robots with which to work. Having the capability to build and use more robots would help us to impact more students. Please take a minute to consider donating to the program.
We could use anything to help build our robots and the tools they use to carry out their tasks (Lego bricks, motors, servos, metal parts, analog and digital sensors, etc.).
We have also set up a fundraising page to accept monetary donations. You can access and share that page here:
Do you have questions regarding the robotics program? Send your questions below.


In POSIX sh, local
is undefined.
myfunc() {
local i=0
..
}
In POSIX sh, you can adopt some convention to avoid accidentally overwriting variables names, e.g. prefixing with the function name:
myfunc() {
_myfunc_i=0
..
}
local
is supported in many shells, including bash, ksh, dash, and BusyBox ash. However, strictly speaking, it's not POSIX.
Since quite a lot of real world shells support this feature, you may decide to [[ignore]] the warning.


To specify the input file argument, you can use the {input}
keyword.
Example: --infile {input}
Enter value(s) based on selected verification method:
Single file: Only single file creation is expected.
File list: Enter comma-separated list of expected files to be created.
Regex: Created file names will be checked against this regular expression.
No checking: No output expected.
×
×


Project
Turbine
Apply
Capacity(MW)
WS Avg.(m/s)
Prod(KWh)
Timestamp
Turbine
/
(Last 24 Hours)
Total Prod.(KWh)
WS(m/s)
Rotor RPM
Wind Direction
Pitch Angle
Sectors


BOYS DON'T CRY A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): * 1/2
The slightly effeminate Brandon likes doing all those manly things such as hanging out at bars hitting "on" the gals and "at" the guys. After lots of carousing, he's off to try a dangerous sport that's like water-skiing on land but pulled by a pickup truck. Brandon's ambitions are suitably macho, as he envisions himself off fighting big fires. When he wakes the morning after a fight with a big shiner on his eye and a cut on his cheek, he couldn't be prouder.
And he's a she.
Brandon, whose female name is Teena, is played believably by Hilary Swank. With her deeply-sunken cheeks, wide toothy smile and lanky look, Swank appears decidedly male, although not at all like the other guys in the movie. The men in the story have long, dirty-looking, shaggy hair and scraggly beards. The short-haired Brandon is the only guy on the screen with a traditional guy's haircut.
BOYS DON'T CRY has little to recommend it other than that it's based on a true story. The horrific ending means that Brandon Teena deserves our sympathy, but it does not follow that the film dramatization based on her life's story is worthwhile. (There is also a documentary about her life entitled THE BRANDON TEENA STORY.)
The first three quarters of the movie has Brandon falling for Lana (ChloŽ Sevigny from KIDS), who lives with her large and largely despicable family. "I hate my life," Lana says in the story's biggest understatement.
The long first part of the movie has nothing of interest, save watching how Brandon copes with being a female in men's clothes. Procuring and hiding female sanitary products becomes a particularly tricky matter for her.
The ending, which lasts an almost unbearable half hour, shamelessly manipulates our emotions. Director Kimberly Peirce has a toddler run screaming through the worst of the mayhem, just to make sure we are completely disgusted with the level of unspeakable violence before us. If the first part had given Brandon some realistic characters to interact with, the excessively long ending might have been tolerable and, possibly, even meaningful. As it is, the movie just leaves you with a gut wrenching feeling. Rather than being moved, you just feel sick.
BOYS DON'T CRY runs 1:56. It is rated R but should be NC-17 for gang rape, strong violence, nudity, language and drug use. It is not appropriate for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Virtual Alexa
Interact with skills intuitively and programmatically.
Virtual Alexa allows for interacting with skills programmatically.
The core Virtual Alexa API provides several routines - the three most essential ones:
* launch: Generates JSON for a launch request
* intend: Generates JSON as if the given intent was uttered
* utter: Generates JSON as if the user said the given phrase
And also check out our YAML Test Scripts. They allow for:
All via our simple, readable YAML syntax. Read more here.
What's New In The Latest Version (0.7.x)
This library allows for easy testing of skills.
You can use it for:
1) Unit-testing - ensuring individual routines work correctly
2) Regression testing - ensuring the code as a whole works properly
npm install virtual-alexa --save-dev
Easy! Just add a line of code like so:
const va = require("virtual-alexa");
const alexa = va.VirtualAlexa.Builder()
.handler("index.handler") // Lambda function file and name
.interactionModelFile("./models/en-US.json") // Path to interaction model file
.create();
alexa.intent("PlayIntent").then((payload) => {
console.log("OutputSpeech: " + payload.response.outputSpeech.ssml);
// Prints out returned SSML, e.g., "<speak> Welcome to my Skill </speak>"
});
Our "canonical" full example is the Super Simple Unit Testing project.
Here are some basic tests that uses async/await:
it("Accepts responses without dollars", async function () {
const alexa = bvd.VirtualAlexa.Builder()
.handler("index.handler") // Lambda function file and name
.intentSchemaFile("./speechAssets/IntentSchema.json") // Uses old-style intent schema
.sampleUtterancesFile("./speechAssets/SampleUtterances.txt")
.create();
const launchResponse = await alexa.launch();
assert.include(launchResponse.response.outputSpeech.ssml, "Welcome to guess the price");
const playerOneResponse = await alexa.intend("NumberIntent", { number: "2" });
assert.include(playerOneResponse.response.outputSpeech.ssml, "what is your name");
assert.include(playerOneResponse.response.outputSpeech.ssml, "contestant one");
const playerTwoResponse = await alexa.intend("NameIntent", { name: "john" });
assert.include(playerTwoResponse.response.outputSpeech.ssml, "what is your name");
assert.include(playerTwoResponse.response.outputSpeech.ssml, "Contestant 2");
const gameStartResponse = await alexa.intend("NameIntent", { name: "juan" });
assert.include(gameStartResponse.response.outputSpeech.ssml, "let's start the game");
assert.include(gameStartResponse.response.outputSpeech.ssml, "Guess the price");
const priceGuessResponse = await alexa.intend("NumberIntent", { number: "200" });
assert.include(priceGuessResponse.response.outputSpeech.ssml, "the actual price was");
});
This one is using Mocha (and Babel) - you can see the full example here:
https://github.com/bespoken/GuessThePrice/blob/ProgrammaticTests/test/index-test.js
Here's an example using promises:
test("Plays once", (done) => {
alexa.intent("GetStartedIntent").then((payload) => {
expect(payload.response.outputSpeech.ssml).toContain("What is the search term for it");
return alexa.intend("IncorrectGuessIntent");
}).then((payload) => {
expect(payload.response.outputSpeech.ssml).toContain("Nice try");
return alexa.intend("IncorrectGuessIntent");
}).then((payload) => {
expect(payload.response.outputSpeech.ssml).toContain("That is not correct");
return alexa.intend("IncorrectGuessIntent");
}).then((payload) => {
expect(payload.response.outputSpeech.ssml).toContain("Goodbye");
done();
});
});
You can see the full example this is taken from here:
https://github.com/bespoken/giftionary/blob/master/test/index.test.js
And read all the docs here:
https://bespoken.github.io/virtual-alexa/api/
The filter is a powerful tool for manipulating the request payloads that are made to your Alexa skill.
alexa.filter((requestJSON) => {
// Do something with the request
requestJSON.request.locale = "en-US" // Arbitrary example of changing the request payload
});
More info on using it here.
Our request builder allows for fine-tuning requests with ease.
To use it, make a call to Virtual Alexa like so:
// Construct the request
const request = alexa.request()
.intent("MyIntentName")
.slot("SlotName", "SlotValue")
.dialogState("COMPLETED")
// Directly set any property on the JSON easily with the new set method
.set("context.System.user.permissions.consentToken", "<TOKEN>")
.set("context.System.device.deviceId", "<MY_DEVICE_ID>");
const response = await request.send();
We also support the AudioPlayer! Read more here.
We also support the Display Interface! Read more here.
We also support the Dialog Interface. Read more here.
Using our implementation, you can simulate different payloads coming from the Dialog Manager with ease.
We also support mocking external calls, such as ones made to the Address API and Dynamo. Read more here.
This allows for testing without relying on the actual calls, which are difficult if not impossible to configure for unit tests.
We support the entity resolution request payloads.
Using Virtual Alexa, we will automatically add entity resolution information to your slots, based on the your interaction model. It's like magic :-)
Easy, find us on our Gitter or email<EMAIL_ADDRESS>We look forward to hearing from you!
Generated using TypeDoc


Bloggs Family
`Prev `__
B
`Next `__
--------------
**Bloggs Family**: n.
An imaginary family consisting of Fred and Mary Bloggs and their
children. Used as a standard example in knowledge representation to show
the difference between extensional and intensional objects. For example,
every occurrence of “Fred Bloggs” is the same unique person, whereas
occurrences of “person” may refer to different people. Members of the
Bloggs family have been known to pop up in bizarre places such as the
old `*DEC* <../D/DEC.html>`__ Telephone Directory. Compare `*Dr. Fred
Mbogo* <../D/Dr--Fred-Mbogo.html>`__; `*J. Random
Hacker* <../J/J--Random-Hacker.html>`__; `*Fred
Foobar* <../F/Fred-Foobar.html>`__.
--------------
+-------------------------+----------------------------+--------------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+-------------------------+----------------------------+--------------------------------+
| blog | `Home <../index.html>`__ | blogosphere |
+-------------------------+----------------------------+--------------------------------+


--- layout: post title: Replacing Youth Centers dataset with Family and Support Services Delegate Agencies date: '2015-10-07T15:46:30-05:00' author: Open Data Portal Team categories: - Open Data - Data Portal tags: - deprecation - improvement - meks-hp6f - jmw7-ijg5 ---
We have published a Family and Support Services Delegate Agencies dataset, which is a list of the delegate agencies with which the Department of Family and Support Services has contracted to provide services to residents of Chicago. This dataset replaces the Youth Centers dataset. It includes both more rows (all delegate agency types) and more columns of data about each agency.
We will deprecate the Youth Centers dataset on or after 11/2/2015. Please update any links and API endpoints before that date.


| CLOSE(2) | Linux Programmer's Manual | CLOSE(2) |
#include <unistd.h>
int close(int fd);
If fd is the last file descriptor referring to the underlying open file description (see open(2)), the resources associated with the open file description are freed; if the file descriptor was the last reference to a file which has been removed using unlink(2), the file is deleted.
See NOTES for a discussion of why close() should not be retried after an error.
The close-on-exec file descriptor flag can be used to ensure that a file descriptor is automatically closed upon a successful execve(2); see fcntl(2) for details.
It is probably unwise to close file descriptors while they may be in use by system calls in other threads in the same process. Since a file descriptor may be reused, there are some obscure race conditions that may cause unintended side effects.
Note, however, that a failure return should be used only for diagnostic purposes (i.e., a warning to the application that there may still be I/O pending or there may have been failed I/O) or remedial purposes (e.g., writing the file once more or creating a backup).
Retrying the close() after a failure return is the wrong thing to do, since this may cause a reused file descriptor from another thread to be closed. This can occur because the Linux kernel always releases the file descriptor early in the close operation, freeing it for reuse; the steps that may return an error, such as flushing data to the filesystem or device, occur only later in the close operation.
Many other implementations similarly always close the file descriptor (except in the case of EBADF, meaning that the file descriptor was invalid) even if they subsequently report an error on return from close(). POSIX.1 is currently silent on this point, but there are plans to mandate this behavior in the next major release of the standard.
A careful programmer who wants to know about I/O errors may precede close() with a call to fsync(2).
The EINTR error is a somewhat special case. Regarding the EINTR error, POSIX.1-2013 says:
This permits the behavior that occurs on Linux and many other implementations, where, as with other errors that may be reported by close(), the file descriptor is guaranteed to be closed. However, it also permits another possibility: that the implementation returns an EINTR error and keeps the file descriptor open. (According to its documentation, HP-UX's close() does this.) The caller must then once more use close() to close the file descriptor, to avoid file descriptor leaks. This divergence in implementation behaviors provides a difficult hurdle for portable applications, since on many implementations, close() must not be called again after an EINTR error, and on at least one, close() must be called again. There are plans to address this conundrum for the next major release of the POSIX.1 standard.
| 2019-10-10 | Linux |


rlcc
Notes
Exploration
Learning
Multi-Agent Learning
Replay Buffer
Package Reference
rlcc
rlcc.act
rlcc.learn
rlcc.model
rlcc.noise
rlcc.observe
rlcc.replay
rlcc.schedule
rlcc.storage
rlcc
Docs
»
Index
Index
A
|
B
|
C
|
D
|
E
|
H
|
I
|
L
|
N
|
O
|
R
|
S
|
T
|
U
|
V
A
act() (rlcc.act.Actor method)
(rlcc.act.ClippingActor method)
(rlcc.act.NetworkActor method)
(rlcc.act.NoisyActor method)
(rlcc.act.StackedActor method)
action (rlcc.Transition attribute)
Actor (class in rlcc.act)
B
BoundedSchedule (class in rlcc.schedule)
buffer() (in module rlcc.storage)
BufferedObserver (class in rlcc.observe)
C
ClippingActor (class in rlcc.act)
D
default_collate() (in module rlcc.replay)
DeviceNoiseProcess (class in rlcc.noise)
DoubleLearningStrategy (class in rlcc.learn)
DPGActor (class in rlcc.learn)
DPGCritic (class in rlcc.learn)
E
ExponentialSchedule (class in rlcc.schedule)
H
hard_update() (in module rlcc.model)
I
is_terminal (rlcc.Transition attribute)
L
learn() (rlcc.learn.Learner method)
(rlcc.learn.ReplayLearner method)
(rlcc.learn.StackedLearner method)
Learner (class in rlcc.learn)
LearningStrategy (class in rlcc.learn)
LinearSchedule (class in rlcc.schedule)
loss() (rlcc.learn.DoubleLearningStrategy method)
(rlcc.learn.DPGActor method)
(rlcc.learn.DPGCritic method)
N
NetworkActor (class in rlcc.act)
next_state (rlcc.Transition attribute)
NoiseProcess (class in rlcc.noise)
NoisyActor (class in rlcc.act)
O
observe() (rlcc.observe.BufferedObserver method)
(rlcc.observe.Observer method)
(rlcc.observe.StackedObserver method)
Observer (class in rlcc.observe)
OUProcess (class in rlcc.noise)
R
ReplayLearner (class in rlcc.learn)
reset() (rlcc.noise.DeviceNoiseProcess method)
(rlcc.noise.NoiseProcess method)
(rlcc.noise.OUProcess method)
(rlcc.noise.ScaledProcess method)
(rlcc.noise.ScheduledScaledProcess method)
(rlcc.schedule.ExponentialSchedule method)
(rlcc.schedule.LinearSchedule method)
(rlcc.schedule.Schedule method)
reward (rlcc.Transition attribute)
rlcc (module)
rlcc.act (module)
rlcc.learn (module)
rlcc.model (module)
rlcc.noise (module)
rlcc.observe (module)
rlcc.replay (module)
rlcc.schedule (module)
rlcc.storage (module)
S
sample() (rlcc.noise.DeviceNoiseProcess method)
(rlcc.noise.NoiseProcess method)
(rlcc.noise.OUProcess method)
(rlcc.noise.ScaledProcess method)
(rlcc.noise.ScheduledScaledProcess method)
ScaledProcess (class in rlcc.noise)
Schedule (class in rlcc.schedule)
ScheduledScaledProcess (class in rlcc.noise)
soft_update() (in module rlcc.model)
StackedActor (class in rlcc.act)
StackedLearner (class in rlcc.learn)
StackedLearningStrategy (class in rlcc.learn)
StackedObserver (class in rlcc.observe)
state (rlcc.Transition attribute)
step() (rlcc.learn.DoubleLearningStrategy method)
(rlcc.learn.LearningStrategy method)
(rlcc.learn.StackedLearningStrategy method)
T
tensor() (in module rlcc)
Transition (class in rlcc)
transition() (in module rlcc)
TransitionReplayer (class in rlcc.replay)
U
update() (rlcc.schedule.BoundedSchedule method)
(rlcc.schedule.ExponentialSchedule method)
(rlcc.schedule.LinearSchedule method)
(rlcc.schedule.Schedule method)
V
value() (rlcc.schedule.BoundedSchedule method)
(rlcc.schedule.ExponentialSchedule method)
(rlcc.schedule.LinearSchedule method)
(rlcc.schedule.Schedule method)


Trump asks Supreme Court to protect his tax returns
- Advertisement -
Donald Trump on Thursday asked the Supreme Court to bar a prosecutor from obtaining his tax returns, arguing that as president he has blanket immunity.
Trump, a former New York businessman, is the first American president since Richard Nixon not to make his tax returns public, arguing they’re under audit by the Internal Revenue Service.
Opposition Democrats have turned to the courts to force their release in a case that’s considered a crucial test of the separation of powers. And if the US high court — where conservative judges hold the majority — decides to take up the case, their decision will receive endless scrutiny.
Manhattan District Attorney Cyrus Vance Jr, a Democrat, has demanded Trump’s tax returns dating back to 2011 as part of an investigation into payments made by Michael Cohen, the president’s former personal attorney, to Stormy Daniels, an adult film actress who claimed to have had a sexual liaison with Trump before he ran for president in 2016.
- Advertisement -
Last week, a federal appeals court ruled that Trump must hand over the documents.
But the president’s attorneys argue that he enjoys immunity both from prosecution and from any acts of investigation.
“For the first time in our nation’s history, a state or local prosecutor has launched a criminal investigation of the President of the United States and subjected him to coercive criminal process,” Trump’s attorney Jay Sekulow said, according to US media.
“Politically motivated subpoenas like this one are a perfect illustration of why a sitting president should be categorically immune from state criminal process,” he said.
At a hearing on the case on October 23, one of Trump’s lawyers went so far as to argue that the president would have immunity even if he shot someone in the street — a statement immediately challenged by jurists and mocked by Democrats.
There have been various other attempts to obtain the returns by Democratic lawmakers in New York and in the House of Representatives.
© Agence France-Presse
- Advertisement -


presenting:
We illustrate our examples with Ruby because it's our main language
So we made it automatic, so apps can check code looking for code red flags.
Until now….
Given a collection of request-response pairs, automatically detects red flags or warns about bad practices on that API.
𝄞 𝄞 𝄞 It's got to beeeeeee perfect 𝄞 𝄞 𝄞
Ways to collect HTTP requests & responses:
Lints are the individual checkers for each style element.


Async calls can be used to fet values for input on calls that can take a long time. Doing this give the effect of faster render times since the user starts seeing UI faster than just watching the browser spin.
In the bellow example server name is not dependent on the data center choice so it is always enabled, but the avaliblity of hyperscale does change based on data center so it is disabled until the data centers are loaded.
Sometimes when you are creating a form a user selection may influence the form fields themselves. For instance depending on what data center is chosen the user may have the option to provision a server as bare metal.
In the example bellow GB1 supports bare metal and the other two do not.


Upload your own meme!
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About
This spell checker for websites was written out of my own personal needs. It probably wont suit the needs of anyone else and I'm not expecting it to. However, if you are using it and it serves you well then please consider donating so I can build more awesome tools like this.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/failing.20to.20unfold.20an.20inductive.20definition.html ---
I'm trying to prove
import data.list.basic variable (α : Type) variable [decidable_eq α] open list @[simp] theorem count_bag_inter {a : α} : ∀ {l₁ l₂ : list α}, count a (l₁.bag_inter l₂) = min (count a l₁) (count a l₂) | [] l₂ := by simp | l₁ [] := by simp | (h :: l₁) l₂ := begin dsimp [list.bag_inter], -- succeeds but does nothing? sorry end
but can't seem to get access to the interesting inductive case of the definition of list.bag_inter
. What am I meant to be doing here?
For reference, list.bag_inter
is defined as
protected def bag_inter {α} [decidable_eq α] : list α → list α → list α | [] _ := [] | _ [] := [] | (a::l₁) l₂ := if a ∈ l₂ then a :: bag_inter l₁ (l₂.erase a) else bag_inter l₁ l₂
in core.
What do I import to get count?
Oh -- maybe I have to open something? List?
I can't get your code to run :-(
Sorry, MWE almost there.
Okay, I've updated the code above to include imports and variables.
#print prefix list.bag_inter
reminds us that Lean still does the nil/cons case split on l2 in the a::l1 case when defining bag_inter
begin cases l₂, simp, dsimp [list.bag_inter], -- now does something sorry end
[PS I'm sorry, I'm so rubbish if I can't get the code to run. I know lots of people can do this sort of question in their heads but I can't. I was missing the decidable equality]
ah, cool. Thanks! I didn't know about #print prefix
.
dsimp [list.bag_inter]
I think attempts to simplify using the equation lemmas for list.bag_inter
. I used to think it was just magic, but Lean does not do magic. To see the equation lemmas I always use #print prefix
.
And when you start looking at equation lemmas you learn random stuff like "even though you defined your function using three cases, Lean internally compiled it up as four cases"
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% extends "base.html" %} {% block body %}
Note: the content is "encased" in the fondum html framework because it extends "base.html". See the "special-with-parm.html" template file.


The Skylab Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients.
Fund recommendation is based on client's personality and risk profile. Studies have indicated that risk preference of an individual is correlated to some personality attributes such as Cautiousness and Stability. Each fund, based on it's risk score is assigned a personality portrait. Investment Advisor recommends funds which have similar personality portrait to client's personality.
Investment advisor recommends agents focusing on building a long-term relationship with your clients. It uses client's personality to select the best matching agent, as the closest personality match or best complementing personality to handle this customer.


l5kit.data package¶
-
class
l5kit.data.
ChunkedStateDataset
(path: str, key: str = '')¶ Bases:
object
ChunkedDataSet is a dataset that lives on disk in compressed chunks, it has easy to use data loading and writing interfaces that involves making numpy-like slices.
Currently only .zarr directory stores are supported (i.e. the data will live in a folder on your local filesystem called <something>.zarr).
-
initialize
(mode: str = 'w') → None¶ Initializes a new zarr dataset, creating the underlying arrays.
- Keyword Arguments
mode (str) – Mode to open dataset in, should be something that supports writing. (default: {“w”})
-
open
(mode: str = 'r', cached: bool = True, cache_size_bytes: int =<PHONE_NUMBER>) → None¶ Opens a zarr dataset from disk from the path supplied in the constructor.
- Keyword Arguments:
mode (str): Mode to open dataset in, default to read-only (default: {“r”}) cached (bool): Whether to cache files read from disk using a LRU cache. (default: {True}) cache_size (int): Size of cache in bytes (default: {1e9} (1GB))
- Raises:
Exception: When any of the expected arrays (frames, agents, scenes) is missing or the store couldn’t be
opened.
-
-
class
l5kit.data.
LocalDataManager
(local_data_folder: Optional[Union[str, pathlib.Path]] = None)¶ Bases:
l5kit.data.local_data_manager.DataManager
LocalDataManager allows you to require data to be present in the subpath of a specific folder.
Example: Your data folder is set to
"/tmp/my-data-folder"
, and you calllocal_data_manager.require("path/to/image.jpg")
, it would check if"/tmp/my-data-folder/path/to/image.jpg"
exists, and if so return that complete path ("/tmp/my-data-folder/path/to/image.jpg"
), otherwise it raises an error.- In order of precedence, the local data folder is set by
Passing in the path to the constructor of
LocalDataManager
Setting the
L5KIT_DATA_FOLDER
environment variable.
-
require
(key: str) → str¶ Require checks whether the file with the given key is present in the local data folder, if it is not it raises an error. Returns the path to the file otherwise.
- Parameters
key (str) – Path from the data folder where the file or folder should be present.
- Returns
str – Filepath including the data folder where required key is present.
-
l5kit.data.
filter_agents_by_frame
(all_agents: numpy.ndarray, frame: numpy.ndarray) → numpy.ndarray¶ Given all agents, returns those in the given frame.
- Parameters
all_agents (np.ndarray) – agents array
frame (np.ndarray) – frame whose agent_index_interval will be used to slice
all_agents
.
- Returns
np.ndarray – An array of agents that is a subset of all_agents
-
l5kit.data.
filter_agents_by_labels
(agents: numpy.ndarray, threshold: float = 0.5) → numpy.ndarray¶ Filters an agents array, keeping those agents that meet the threshold.
- Parameters
agents (np.ndarray) – Agents array
- Keyword Arguments
threshold (float) – probability threshold for filtering (default: {0.5})
- Returns
np.ndarray – A subset of input
agents
array.
-
l5kit.data.
get_agent_by_track_id
(all_agents: numpy.ndarray, frame: numpy.ndarray, track_id: int) → Optional[numpy.ndarray]¶ Return the agent object (np.ndarray) of a given track_id in a frame. Return None if the agent is not among those in the frame.
- Parameters
all_agents (np.ndarray) – agents array
frame (np.ndarray) – given frame
track_id (int) – agent track id to select
- Returns
Optional[np.ndarray] – Selected agent, or None if this agent is not present in given frame.
-
l5kit.data.
get_combined_scenes
(scenes: numpy.ndarray) → numpy.ndarray¶ Takes as input an np.ndarray or zarr array with scenes, and combines scenes that follow up eachother perfectly (i.e. from a single recording by the same host). Returns an np.ndarray of combined scenes.
- Arguments:
scenes (np.ndarray): scenes
- Returns:
np.ndarray – combined scenes where followup scenes have been merged.
-
l5kit.data.
load_pose_to_ecef
() → numpy.ndarray¶ Loads the pose to ECEF transformation matrix.
- Returns
4x4 transformation matrix of dtype
np.float64
.- Return type
np.ndarray
-
l5kit.data.
load_semantic_map
(semantic_map_path: str) → dict¶ Loads and does preprocessing of given semantic map in binary proto format.
- Parameters
semantic_map_path (str) – The path of the semantic map file to load, a binary proto.
- Returns
A dict containing the semantic map contents.
- Return type
dict


| selfie | biodata |
|---|---|
| Name: Raymond Course:DIP ENGINERRING WITH BUSINESS School: Singapore polytechnic |
Hi i am raymond from singapore polytechnic, year 2, taking a course in diploma in engineering with business.
In my course we learn from 3 schools, electronic, mechanical and business. some things that i like about my course is that we have the chance to earn form 3 schools and that is just a part of what i like we also got hands on module such as EDS(electronic design solution,which we get to try hands on work in class.
i took this elective module because it will enable me to experience making a prototype and learning the skills of being able to use the tools that are in the fablab, it can also allow me pick up skills which i can use in my diploma.
In this course i can also used the skills that i have learnt before and try to make use of them in this module to make me work more efficiently.
This module also enables sudents to engage their creativity in making their product, which will enable me to be more creative in my course in some modules such as, Microcontroller application, that needs me to come up with a prototype to solve our problem statement.


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#include <choice.hpp>
◆ ReadSlice()
| ilasynth::ReadSlice::ReadSlice |
( |
const std::string & |
name, |
|
|
const nptr_vec_t & |
args, |
|
|
const nptr_t & |
bv, |
|
|
int |
width, |
|
|
int |
incr |
|
) |
| |
|
private |
◆ ~ReadSlice()
| virtual ilasynth::ReadSlice::~ReadSlice |
( |
| ) |
|
|
virtual |
◆ clone()
| virtual Node* ilasynth::ReadSlice::clone |
( |
| ) |
const |
|
virtual |
◆ createReadSlice()
| static ReadSlice* ilasynth::ReadSlice::createReadSlice |
( |
const std::string & |
name, |
|
|
const nptr_t & |
bv, |
|
|
int |
width, |
|
|
int |
incr |
|
) |
| |
|
static |
◆ write()
| virtual std::ostream& ilasynth::ReadSlice::write |
( |
std::ostream & |
out | ) |
const |
|
virtual |
◆ bitvec
| nptr_t ilasynth::ReadSlice::bitvec |
◆ increment
| int ilasynth::ReadSlice::increment |
◆ width
| int ilasynth::ReadSlice::width |
The documentation for this class was generated from the following file:


Cats and dogs - Notes building a simple deep learning framework
February 16, 2016
For the class project, I chose not to use a framework such as Keras or Lasagne as I think building my own simplified framework is the best way to fully understand what happens under the hood.
Minimal requirements
This framework needs to enable fast design of a theano computational graph for some common network structures:
- multilayer perceptron
- convolutional network
- recurrent network
This means I will need (for the moment) the following building blocks:
- A
convolutional
block - A
maxpool
block - An
activation
block - A
linear
block
The network should be able to infer the shape of its outputs and its parameters given the shape of its inputs. This makes things much easier once this is properly done, as we are then able to stack layers without even thinking of special case issues (e.g. do we need to zero-pad before a maxpool and what effect can it have on the output shape)
Design issues
How to implement things
Keras uses an array where all layers are sequentially appended to an array, whereas Lasagne sequentially instantiates layers where the previous layer is given as a parameter to the constructor.
For my very simple framework I chose to use only functions, that return the correct output, shape and parameters.
Differences during training/test
For some blocks, the computational graph is slightly different. Think for instance of a Dropout block. During training it is used to randomly disable some activations thus providing some regularization.
At test time, it makes no sense adding dropout because we want to test the best model that we obtained at a certain time, which is the full model with all activations enabled.
I chose to build 2 computational graphs, one for the training, the other one for the validation. Both share the same parameters (weights, biases) as they use the same shared variables.
Putting things together
Here is a toy example where I stack 2 convolutional
layers followed by a relu activation
, then a maxpool
in the end. At each step the output of the previous layer is given as the input for the new layer.
all_parameters = []
#############################################
# a first block with 2 convolutions of 32 (3, 3) filters
output, output_test, params, output_shape = convolutional(X, X, input_shape, 32, (3, 3))
all_parameters += params
output, output_test, params, output_shape = activation(output, output_test, output_shape, 'relu')
output, output_test, params, output_shape = convolutional(output, output_test, output_shape, 32, (3, 3))
all_parameters += params
output, output_test, params, output_shape = activation(output, output_test, output_shape, 'relu')
# maxpool with size=(2, 2)
output, output_test, params, output_shape = maxpool(output, output_test, output_shape, (2, 2))
The code for this framework is in the file layers.py on github. Feel free to use!


| DOSE: |
repeated |
oral |
Amphetamines |
(pill / tablet) |
| |
repeated |
|
Various |
|
I wake up from the exhausted sleep of the dead at 7am. Reach reflexively for speed pills and alarm clock in one go, downing one and silencing the other simultaneously. Lie in bed, heart still racing from yesterday, waiting for the pill to take effect. Get ready and down two espressos and 1/2 a slice of unenticing toast. Jitter off on a cloud of nervous energy to work. Once there, I consciously slow down. Walking and talking slower than I'm inclined to etc etc.
Then after work off to the gym, heart accelerating ever faster, euphoric not unpleasant and queasy. Adrenalin and endorphins moderating and enhancing the amphetamine at the same time. Unpleasant dinner at home. I make myself eat, whether I want to or not, as a damage limitation exercise. I get low blood sugar otherwise, and feel terrible, although hunger pangs are of course reduced by speed. After unwelcome dinner I do various things like art work, phoning friends, looking for a new job, then I go and do anything between 2 and 20 lines, depending on whether I have work the next day and of course the potency of the speed. I sleep most nights, except at weekends and this way I can present a normal, if nervy, facade.
At the weekend this facade is revealed for the sham it is when I make up for the relative moderation of the week and consume seemingly endless amounts of speed. Sometimes, like yesterday, it refuses to work due to exhaustion. I become paradoxically slow (in my mind's eye, anyway) and either panic or sit rigidly still.  In a more relaxed setting, like a friends house, I am merely silent, with mind whirring and depression descending fast.
So far this has been an accelerated century. I am now in the relatively early stages of amphetamine addiction number 3. Still outwardly healthy, not really very thin, strangely good skin and teeth. My 2nd habit was the worst, it included a foray into meth use and IV use as a 'treat' on most weekends. Meth isn't commonly available in England, and in retrospect that's a good thing for obvious reasons. IV usage meant 5 days without sleep as a fairly regular occurance, plus middle class conditioning flashing tabloid headlines each time I shot up, very hard to dismantle that.
This time, I'm much more covert in my operations. I don't really feel the need to go without sleep for ridiculous amounts of days and I don't enjoy amphetamine psychosis (oddly enough) which I practically invite by staying up so long. 5 times is enough for me! I am mainly doing pharmaceutical uppers prescribed by a dodgy diet clinic. Very 1960s, Requiem for a Dream like. Amazed at how easy it is, though mind you I was geniunely mildly overweight (164 pounds) when I started so I'm sure that helped. I think I look healthier despite doing it every day. The longest I can go without is 5 days, and sometimes having 4-5 times the dose (which is 75mg incidentally) as it's just the substance and some pill binding agents, no extras kindly provided by your dealer.
It's an endless (seemingly) cycle of taking speed for a while (occasionally, then weekly, then daily), then freaking out with anxiety, paranoia and exhaustion. Once I thought that a bicycle in a friends hallway was Marilyn Manson about to shoot me, and that three men ordering chips at the takeaway were in fact 9 men conspiring to kill me. Luckily I haven't got in any real danger or been locked up for amphetamine psychosis as I am relatively quiet and don't draw attention to myself. I usually am not alone and am just babbling and neurotic, pallid and shaking but not shouting or anything. The hallucinations were rather medieval at times, good to know my history of art degree is being put to use, demons under the bed, and other retrospectively embarrassingly baroque horror film scenery.
This is usually the catalyst for me stopping, at least for a while. I recognise the hallucinations for the fictions that they are, but, just like on my bad trips, it doesn't stop me from being scared out of my mind. Once I'm over it, (the worst of it is over by 3 days to a week) I can finally sleep. Either that or the same routine, except with mere exhaustion and paranoia. Then I crave and have actual withdrawal symptoms, cry a lot (costs a fortune in eyeliner) and eat and sleep to a phenomenal degree. My whole body is electric, my nervous system seemingly an exoskeleton - consumed by cravings regardless of how bad my last comedown was. All my interests and projects seem so dull and flat without speed.
Despite the fact that the negative aspects are about the same, if not greater than, the positive aspects, I keep coming back for more. For a substance that is supposed to be 'only' psychologically addictive, it seems incredibly hard to extricate myself from this cycle. Even a year later I'd sometimes crave. And when I got help there was sometimes a sort of 'come back when you have a heroin habit' type attitude from the counselors - get a grip on yourself, it isn't that bad.  Only on comedowns. Well then, can't be that serious then, and no, you certainly can't have any dexedrine! obviously I'm exaggerating here for comic/dramatic effect.
On the bright side, I am managing to stay off speed for longer and longer each time. Some of the reason I find it hard to motivate myself to quit is that I have loads to do and know I'll be so tired. It's a complex thing as this would be true but would not last forever by any means. In times of abstinence I still have multiple espressos, plenty of ephedrine and a fistful of Es so total cessation of all stimulant use seems a remote contingency at best.
Also it's so cheap and I've never had to do anything degrading to get it - I even exchanged art and backdrops for speed at one point - usually about £80 worth.
I think that's quite enough, I could babble on but this is an inconclusive report as it is so no need for that!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


[The BSD License]
Copyright © 2014 Frank Tang
All rights reserved.
Built with
Parse.com,
jQuery,
doT.js,
960 grid system,
Vanilla JS.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of the author nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


Neuroplasticity and Growth Mindset
Neuroplasticity
The concept of neuroplasticity is one worth understanding as a learner. The brain has the potential to develop its structure and capacity positively and people who understand this can help it by treating their mind and body well. Maintaining good bodily and mental health is all about good habits. Things like exercise, diet, sleep and learning all come together to help brain plasticity and support a person’s overall health.
Supporting one’s neuroplasticity is best done through conscious action. To support my learning its best to set real goals and consciously focus on achieving them, the overall goal being to turn these smaller goals into habits. Also, worth noting is the fact that if things don’t go completely according the set plans and the goals are not achieved, it’s important to not get discouraged and let it derail progress made in making or maintaining good habits.
This post about neuroplasticity by Peter Barnes has an excellent infographic detailing the concept of neuroplasticity.
Growth Mindset
The idea of neuroplasticity is also connected to research about growth and fixed mindsets. The way I see it, mindsets work as a self-fulfilling prophecy. People tend to not aim any higher than the believe themselves capable. Someone who thinks their potential is fixed and their brain just doesn’t have the capacity to learn a lot aren’t going to try. Those who recognize the plasticity of their brain and understand that they can develop and achieve great things will aim higher and achieve higher. Through conscious thought and action, I can support the neuroplasticity of my brain and maintain a positive perspective on my ability to achieve highly.
This article by Carol Dweck has an excellent explanation of the thoughts and actions that go into creating and maintaining a growth mindset.


Looks like you are lost! May be you are not connected to the internet!
Syndash @2020 | Developed By : codervent


(re-query-replace-string pattern replacement)
Deprecated: Use ere-query-replace-string for new code.
Replaces all occurrences of a pattern with a string, starting at dot and ending at the end of the buffer. For each occurrence of the old string, Emacs requests that the user type a character to indicate whether or not to replace the string. Dot will be positioned just after the found string.
Deprecated: Use ere-quote for new code.
Quotes all special re characters in string so that the string can be searched for literally using re search functions.
(re-replace-search-text replacement)
Deprecated: Use ere-replace-search-text for new code.
This function performs a regular expression replacement of the text matched by the last search operations.
(re-replace-string pattern replacement)
Deprecated: Use ere-replace-string for new code.
Replaces all occurrences of a regular expression with a string, starting at dot and ending and the end of the buffer. See the Barry's Emacs User's Guide for information on how to specify regular expressions and replacement text.
Deprecated: Use ere-search-forward for new code.
Searches for a pattern match in the current buffer, moving forwards from dot, stopping at the end of the buffer. Dot is left at the end of the matched string if a match is found, or is unmoved if the string is not found.
Deprecated: Use ere-search-reverse for new code.
Searches for a pattern match in the current buffer, moving backwards from dot, stopping at the beginning of the buffer. Dot is left at the beginning of the matched string if a match is found, or is unmoved if not. See the Barry's Emacs User's Guide for information on how to specify regular expressions.
Reads in and defines abbreviations appearing in a named abbreviations file. An error message is printed if the file cannot be found.
Erases the contents of the current buffer, reads the specified file into the buffer and associates the name with the buffer. Dot is set to the beginning of the buffer.
Returns the current number of active calls to recursive-edit.
Invokes the keyboard processor to obtain input from the user until the exit-emacs function is executed. Then, recursive-edit returns to the MLisp code that invoked it.
See the Barry's Emacs User's Guide for a detailed description of recursive editing levels.
Clears the screen and redraws it.
Sets dot and mark around the region matched by the last search. An argument of n puts dot and mark around the nth subpattern matched by \( and \). An argument of zero matches the entire string.
Returns the region between dot and mark as a string.
Performs a remove-local-binding command for all possible keys, This effectively undoes all local bindings.
Removes the global binding of the given key sequence. Actually, it just rebinds the key sequence to illegal-operation.
(remove-database dbsl database-file)
Removes a single database file from the specified database search-list. The database search-list will not be deleted when the last file has been removed.
(remove-local-binding key-sequence)
Removes the local binding of the given key sequence. The global binding will subsequently be used when interpreting the key sequence.
(rename-macro function new-function)
Renames the specified function to a new name. You cannot rename a function to a name used by an already existing wired-in function. If the new-function name exists, the existing code is replaced.
(replace-search-text replacement)
This function performs a replacement of the text matched by the last search operations.
(replace-string search replacement) ESC-r
Replaces all occurrences of one string for another, starting at dot and ending at the end of the buffer.
(reset-buffer-name-from-filename)
Resets the current buffers name using the algorithm used when a new file is first visited.
Useful to call after the buffer-saved-as-hook has been changed.
Resumes a subprocess that has been paused. The image in the process starts working again. If the process is not paused, an error is generated.
(return-prefix-argument expression)
Causes expression to be considered as the prefix argument to the next command executed (even if the command is initiated from the keyboard). This can be useful for writing alternate prefix argument packages.
Spawns a new DCL process, allowing the user to enter DCL commands. Return to Emacs by using the LOGOUT DCL command.
Start incremental search in reverse search mode. See extension incsearch for details
Takes a marker as a parameter and returns a new marker. The new marker will at the same position as the original but with right-hand affinity. This means that text inserted at the position of the marker will move the marker's position to the right. Left-hand affinity markers do not move to the right as text is inserted.
Moves the cursor into the window that is to the right of the current window, unlike previous-window which moves the cursor without regard to the physical position of the windows on the screen.
If the repeat-count is given, the command is repeated that number of times.
right-window reports an error of there is not a window to the right of the current window.


InstaMap
The Syrian Civil War and Instagram -
decaffeinated.io
Click anywhere on the map to begin.
Rebels
SAA Troops and Loyalists
Kurds
Shia-dominated
ISIS
Druze


No matter what size screen the user is viewing with, the text, images, navigation and graphics will size
Building a dynamic, front-end web app using modern frameworks.
Enhancing user satisfaction with a product by improving the usability, accessibility, and pleasure provided in the interaction with the product.
My name is Jaden Poole. I am a Full Stack Developer focuses on React, Ruby on Rails, PostgreSQL, Node, and much more.
Companies have the issue of finding young people who want to work hard and learn from older and more experienced developers. I think I am the solution to that problem.
When I am not pushing my mind to it's limit, I am playing sports and video games. I love having a good time with my family and friends. Lately, new interest has been writing scripts for movies.
I am an straight shooter who isn’t afraid to deal with the tough problems. I am passionate and energized to learning new things. I want to unlock my potential and dedicate my energy to innovative organizations within the service and the industry.


The Full Monty A film review by Marty Mapes Copyright 1997 Marty Mapes
*** (out of 4) "The full Monty" is a British phrase meaning full frontal nudity. That might explain the movie's rabid popularity in England.
No, even with a lesser title, this movie deserves its popularity.
The movie starts with an industrial film from 25 years ago hyping the economic paradise of the steel town of Sheffield. The film jumps 25 years forward to two friends stealing scrap metal from the now-closed factory. Hard times have since fallen on Sheffield and the people are desperately unemployed.
On their way home from their unsuccessful visit to the steel factory, Gaz (Robert Carlyle) uses a poster for the visiting Chippendale Dancers show to illustrate the ironies of unemployment to his friend Dave (Mark Addy). But the poster gives Gaz an inspired idea on how they can make some money. They'll put on their own strip show, but they'll offer something Chippendale's doesn't: The Full Monty!
Dave is reluctant and self-conscious, but decides to humor Gaz, thinking the notion will pass. But Gaz persists.
In one of the movie's many visually funny scenes, Gaz does a great striptease in an old garage to show his friends how it's done. What makes the scene so funny is that Gaz is so good at the you-know-you-want-me, over-the-shoulder look. Until now, Gaz has been your average, former steel worker, GUY. Suddenly, he has all the right moves and all the right looks. The change is so unexpected and so well executed, we can't help but laugh.
 Monty. Soon there are enough of them to stage a show.
The story is rather predictable, but that doesn't detract from the movie any. It still has just the right mix of comedy and sympathy. Its characters are funny, but they are not made fun of.
For example, Gaz and Dave cause another character to flub a job interview. The way they do it is hilarious (another one of those great visually comic scenes), but the victim is human, and when we see the joke from his point of view, it's more painful than funny.
And when they remove their clothes, we can see the dancers' insecurities.
The only flaw I perceived was that the ending of the movie was too abrupt. After an entire movie leading up to one inevitable climax, I would have liked a little more time to come down.
If you do go see THE FULL MONTY, there is an interesting question to ask yourself afterwards. Could the movie have worked if the sex roles were reversed. Would it be possible to make a comedy about "average" women becoming strippers to earn a little money? Mabye it could be called Full Reverse Monty.
Check out more current movie reviews at http://www.indra.com/~mmapes/
c:\modem\homepage\reviews\pea_jr97.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


public class KOptional<T>
A container object which may or may not contain a non-null value.
If a value is present, KOptional.isPresent
will return true
and
KOptional.get
will return the value.
Additional methods that depend on the presence or absence of a contained
value are provided, such as KOptional.orElse
(return a default value if value not present)
and KOptional.ifPresent
(execute a block of code if the value is present).
This is a value-based class; use of identity-sensitive operations
(including reference equality (==
), identity hash code, or synchronization)
on instances of class KOptional
may have unpredictable results and should be avoided.
| Modifier and Type | Class and Description |
|---|---|
static class |
KOptional.Companion |
static class |
KOptional.EMPTY
Common instance for
KOptional.Companion.empty . |
static class |
KOptional.Some<T> |
| Modifier and Type | Field and Description |
|---|---|
static KOptional.Companion |
Companion |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(java.lang.Object other)
Indicates whether some other object is "equal to" this KOptional. The
other object is considered equal if:
|
KOptional<T> |
filter(kotlin.jvm.functions.Function1<? super T,java.lang.Boolean> predicate)
If a value is present, and the value matches the given predicate,
return an
class KOptional describing the value, otherwise return an
empty class KOptional . |
<U> KOptional<U> |
flatMap(kotlin.jvm.functions.Function1<? super T,? extends com.bixlabs.bkotlin.KOptional<U>> mapper)
If a value is present, apply the provided
class KOptional -bearing
mapping function to it, return that result, otherwise return an empty
class KOptional . This method is similar to KOptional.map ,
but the provided mapper is one whose result is already an class KOptional ,
and if invoked, flatMap does not wrap it with an additional
class KOptional . |
T |
get() |
T |
getValue()
If
|
int |
hashCode() |
KOptional<T> |
ifPresent(kotlin.jvm.functions.Function1<? super T,kotlin.Unit> consumer)
If a value is present, invoke the specified consumer with the value,
otherwise do nothing.
|
boolean |
isPresent() |
<U> KOptional<U> |
map(kotlin.jvm.functions.Function1<? super T,? extends U> mapper)
If a value is present, apply the provided mapping function to it,
and if the result is non-null, return an
class KOptional describing the
result. Otherwise return an empty class KOptional |
T |
orElse(T other) |
T |
orElseGet(kotlin.jvm.functions.Function0<? extends T> other) |
<X extends Throwable> |
orElseThrow(kotlin.jvm.functions.Function0<? extends X> exceptionSupplier)
Return the contained value, if present, otherwise throw an exception
to be created by the provided supplier.
|
java.lang.String |
toString() |
public static KOptional.Companion Companion
public T get()
class KOptional
KOptional.isPresent
public boolean isPresent()
true
if there is a value present, otherwise false
public KOptional<T> ifPresent(kotlin.jvm.functions.Function1<? super T,kotlin.Unit> consumer)
If a value is present, invoke the specified consumer with the value, otherwise do nothing.
consumer
- block to be executed if a value is presentclass KOptional
instancepublic KOptional<T> filter(kotlin.jvm.functions.Function1<? super T,java.lang.Boolean> predicate)
If a value is present, and the value matches the given predicate,
return an class KOptional
describing the value, otherwise return an
empty class KOptional
.
predicate
- a predicate to apply to the value, if presentclass KOptional
describing the value of this class KOptional
if a value is present and the value matches the given predicate,
otherwise an empty class KOptional
class KOptional
,
class KOptional
public <U> KOptional<U> map(kotlin.jvm.functions.Function1<? super T,? extends U> mapper)
If a value is present, apply the provided mapping function to it,
and if the result is non-null, return an class KOptional
describing the
result. Otherwise return an empty class KOptional
This method supports post-processing on optional values, without
the need to explicitly check for a return status. For example, the
following code traverses a stream of file names, selects one that has
not yet been processed, and then opens that file, returning an
class KOptional
val fis = names.filter { name -> !isProcessedYet(name) }
.findFirst()
.map { name -> FileInputStream(name) }
Here, findFirst
returns an KOptional, and then
map
returns an KOptional
for the desired
file if one exists.
U
- The type of the result of the mapping functionmapper
- a mapping function to apply to the value, if presentclass KOptional
describing the result of applying a mapping
function to the value of this class KOptional
, if a value is present,
otherwise an empty class KOptional
class KOptional
,
class KOptional
,
class KOptional
public <U> KOptional<U> flatMap(kotlin.jvm.functions.Function1<? super T,? extends com.bixlabs.bkotlin.KOptional<U>> mapper)
If a value is present, apply the provided class KOptional
-bearing
mapping function to it, return that result, otherwise return an empty
class KOptional
. This method is similar to KOptional.map
,
but the provided mapper is one whose result is already an class KOptional
,
and if invoked, flatMap
does not wrap it with an additional
class KOptional
.
U
- The type parameter to the class KOptional
returned bymapper
- a mapping function to apply to the value, if present
the mapping functionclass KOptional
-bearing mapping
function to the value of this class KOptional
, if a value is present,
otherwise an empty class KOptional
class KOptional
,
class KOptional
,
KOptional.map
,
class KOptional
,
class KOptional
public T orElse(T other)
other
- the value to be returned if there is no value present, may
be nullpublic T orElseGet(kotlin.jvm.functions.Function0<? extends T> other)
other
- a block whose result is returned if no value
is presentpublic <X extends Throwable> T orElseThrow(kotlin.jvm.functions.Function0<? extends X> exceptionSupplier)
Return the contained value, if present, otherwise throw an exception to be created by the provided supplier.
X
- Type of the exception to be thrownX
- if there is no value presentexceptionSupplier
- The supplier which will return the exception to
be thrownpublic boolean equals(java.lang.Object other)
Indicates whether some other object is "equal to" this KOptional. The other object is considered equal if:
it is also an class KOptional
and;
both instances have no value present or;
the present values are "equal to" each other via KOptional.equals
.
other
- an object to be tested for equalitytrue
if the other object is "equal to" this object
otherwise false
class KOptional
,
KOptional.equals
public java.lang.String toString()
public int hashCode()
public T getValue()
If
non-null
, the value; if null
, indicates no value is present


{% extends "layout.html" %} {% block page_title %} About - GOV.UK Prototype kit {% endblock %} {% block content %} Enter the first part of your postcode so we can tell you when your area will be switching to Universal Credit. eg LS1 or YO26 {% endblock %}
Enter the first part of your postcode so we can tell you when your area will be switching to Universal Credit.
eg LS1 or YO26


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public class DllToJavaConnector
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
protected static HH_PPS |
hhPps |
static boolean |
initComplete |
| Constructor and Description |
|---|
DllToJavaConnector() |
| Modifier and Type | Method and Description |
|---|---|
static void |
init()
This initializes the Java Grouper version for use within a CPP-DLL.
|
static void |
scoreOasis(char[] record,
char[] returnData)
This provides the ability to send in a reusable record 'buffer' and have
the results put into a reusable return 'buffer'.
|
static java.lang.String |
scoreOasisB(java.lang.String record)
Deprecated.
|
public static boolean initComplete
protected static HH_PPS hhPps
public static void init()
public static java.lang.String scoreOasisB(java.lang.String record)
record
- the Oasis B/C record as a string which gets converted to the
Home Health recordpublic static void scoreOasis(char[] record, char[] returnData)
record
- returnData
-


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I'm Milton Pettus, and I'm a man with a goal. What's that goal? To see the end of bank thieves, horse snatchers, lady stunners, and other wild west do-badders.
I'm the Sheriff of the west, in a small town of Albuquerque. I chase down anyone who wants to upend the law. My passion is gunslinging, heist stopping, and horse riding.
I hope to learn about the magic box from this course, and how to commit evil men to the path of justice, and push back from the right side of the law.


--- layout: default --- {% include colors.html %} {% include buttons.html %} {% include forms.html %}