Gaussian Mixture Models¶
-
class
sparseklearn.gmm.
GaussianMixture
(n_components=3, covariance_type='spherical', tol=0.001, reg_covar=1e-06, max_iter=100, n_init=1, init_params='kmpp', means_init=None, covariances_init=None, weights_init=None, predict_training_data=False, **kwargs)[source]¶ Sparsified Gaussian mixture model.
Fit a Gaussian mixture model to sparsified data. Diagonal and spherical covariances are supported.
- Parameters
- n_componentsint, defaults to 3.
The number of components (clusters) to fit.
- covariance_type{‘spherical’, ‘diag’}, defaults to ‘spherical’.
The form of the covariance matrix.
- tolfloat, defaults to 1e-3.
The convergence threshold. EM iterations will stop when the lower bound average gain is below this threshold.
- reg_covarfloat, defaults to 1e-6.
Non-negative regularization added to the diagonal of the covariance to ensure it’s positive.
- max_iterint, defaults to 100.
The number of EM iterations to perform.
- n_initint, defaults to 1.
The number of initializations to perform. The best results are kept.
- init_params{‘kmpp’, ‘random’}, defaults to ‘kmpp’.
The method used to initialize the weights, the means and the precisions. If ‘kmpp’, the initial means are chosen using the k-means++ algorithm. If ‘random’, initial means are chosen at random from the input data.
- means_initnd.array, shape (n_components, P), optional.
The user-provided initial means, defaults to None, in which case the means are initialized using the init_params method. P is the number of features in the full-dimensional space.
- predict_training_databool, default to False.
Whether to predict labels for the training data.
- Attributes
- weights_nd.array, shape (n_components,)
The weight of each mixture component.
- means_nd.array, shape (n_components, P)
The mean of each mixture component.
- covariances_nd.array
The covariance of each mixture component. The shape depends on covariance_type: (n_components,) if spherical and (n_components, P) if diag.
- converged_bool
True if fit() converged, False otherwise.
Methods
apply_HD
(self, X)Apply the preconditioning transform to X.
apply_mask
(self, X, mask)Apply the mask to X.
fit
(self[, X, HDX, RHDX, y])Estimate model parameters using EM algorithm.
fit_sparsifier
(self[, X, HDX, RHDX])Fit the sparsifier to specified data.
invert_HD
(self, HDX)Apply the inverse of HD to HDX.
invert_mask_bool
(self)Compute the mask inverse.
pairwise_distances
(self[, Y])Computes the pairwise distance between each sparsified sample, or between each sparsified sample and each full sample in Y if Y is given.
pairwise_mahalanobis_distances
(self, means, …)Computes the mahalanobis distance between each compressed sample and each full mean (each row of means).
predict
(self, X)Predict the labels for the data samples in X using the trained model.
weighted_means
(self, W)Computes weighted full means of sparsified samples.
weighted_means_and_variances
(self, W)Computes weighted full means and variances of sparsified samples.
-
fit
(self, X=None, HDX=None, RHDX=None, y=None)[source]¶ Estimate model parameters using EM algorithm.
Fits the model
n_init
times and keeps the parameters with which the model has the largest likelihood. Each trial performs at mostmax_iter
iterations of EM until covergence. or aConvergenceWarning
is raised.At least one of X, HDX, or RHDX must be passed.
- Parameters
- Xnd.array, shape (N, P), optional
defaults to None. Dense, raw data.
- HDXnd.array, shape (N, P), optional
defaults to None. Dense, transformed data.
- RHDXnd.array, shape (N, Q), optional
defaults to None. Subsampled, transformed data.
- ynd.array, shape (N,), optional
True labels.
-
predict
(self, X)[source]¶ Predict the labels for the data samples in X using the trained model.
- Parameters
- Xnd.array, shape (n_samples, Q)
Array of Q-dimensional data points. Each row corresponds to a single data point. X is assumed to be preconditioned and subsampled.
- Returns
- labelsarray, shape (n_samples,)
Component labels.


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class MaterialPopupMenu
Holds all the required information for showing a popup menu.
style
- Style of the popup menu. See MaterialPopupMenuBuilder.style
dropdownGravity
- Gravity of the dropdown list. See MaterialPopupMenuBuilder.dropdownGravity
Author
Piotr Zawadzki
fun dismiss(): Unit
Dismisses the popup window. |
|
fun setOnDismissListener(: (() -> Unit)?): Unit
Sets a listener that is called when this popup window is dismissed. |
|
fun show(: Context, : View): Unit
Shows a popup menu in the UI. |


|
|
The C++ standard library [1] has proven to be very effective in the development of various programming solutions. The success of this library is due to its solid theoretical framework and high quality of its design and implementations. Despite these well known advantages, the library has a number of limitations associated with inefficiencies of container algorithms and bidirectional iterators.
The C++ standard library increases its usefulness by providing various
types of specialized containers [1].
In particular, it includes three sequences: vector
,
deque
and list
.
Each of these sequences has a limited application area due to having
at least one inefficient operation with linear running time.
For vector
and deque
, these are the member functions
insert()
and erase()
for a single element.
list
supports bidirectional iterators, which are inefficient
in algorithms that access elements at random or distant positions.
Associative containers provide efficient access to elements by their keys,
however, access to elements by their positions
is even less efficient than in list
.
Many algorithms of associative containers based on
dynamically allocated red black trees are outperformed by
the matching algorithms using array based data structures.
The efficient support of move semantics by the containers of the C++03
standard library is essentially reduced to the member function swap()
despite the fact that std::list
provides three member functions
splice()
that belong to the same group of the move semantics
functions as the function swap()
. The complexity of these
splice()
functions is constant in two special cases only.
In the general case this function has linear complexity.
The inefficiencies of data structures used to specify the C++ STL
have a significant effect on interfaces of the standard containers.
Generally, the STL prohibits inefficient operations and facilities,
but some exceptions are allowed. This approach creates a problem of
inconsistent interfaces. For example, unlike other sequences,
std::vector
does not support the push_front()
and pop_front()
functions, but it supports general
functions insert()
and erase()
a single
element anywhere within a container even though all of these functions
have the same linear running time.
As a result of the various differences in computational complexities of operations and inconsistencies of interfaces, the standard containers are not completely interchangeable and have a limited capacity of supporting general algorithms. The most efficient programming solutions dot not allow a simple replacement of a standard container. The generalization of such solutions requires the development of an additional layer of software that encapulates container specific code in user defined types.
The importance and benefit of interchangeable STL containers follow from the performance analysis of algorithms. The running time of an algorithm is determined by complexities and frequencies of supporting operations. Relatively low frequencies of inefficient operations do not cause a performance problem. These operations can extend interfaces of the standard containers, since they are beneficial for many algorithms. When frequencies of supporting operations increase, inefficient operations make the most significant contribution to the total computational cost. For this reason a specialized container with many efficient operations and just one inefficient operation can cause a performance bottleneck. The replacement of an inefficient container is an effective method of optimization of complex algorithms. In order to support this method the C++ standard library should offer a wide variety of general and specialized interchangeable containers.
The advanced data structures can help solve the discussed problems and extend the STL facilities through a set of efficient algorithms that is wider than that of basic data structures. The useful reformulation of this advantage sounds as follows: the advanced data structures have fewer inefficient operations that cause performance problems and interface inconsistencies of the standard containers.
For example, one augmented array based B+ tree of the
namespace std_ext_adv
efficiently supports
interfaces of both sequences and associative containers
that are supported by several data structures in the C++03 STL.
This B+ tree provides efficient random and sequential access to
elements by positions and by keys along with logarithmic time
general update functions, such as insert()
and
erase()
a single element anywhere within a container,
splice()
and split()
.
Each variant of an STL container of the namespace std_ext_adv
obtains this wide set of efficient facilities.
This powerful feature of advanced data structures gives the new
containers the key adavantage over the standard containers.
The containers of the namespace std_ext_adv
achieve
a new level of generalization of mathematical concepts and
solutions with the high efficiency of programming implementations.
std_ext_adv
The C++ standard library specifies the interfaces of the container and
iterator types and allows various implementation alternatives
using the most efficient data structures and proper design patterns.
The class of advanced data structures is much wider than the class of
linear data structures and basic search trees used to formulate
the requirements for the C++ standard containers and iterators.
The augmented B+ and red black trees appear to be particularly
attractive for the extension of the STL facilities.
These data structures can be used to develop general and
specialized containers with improved efficiency of specific
algorithms, bidirectional and random access iterators.
One advanced data structure can support a number of interfaces of
the C++ standard containers and can add new efficient extensions.
For these reasons, all the classes of STL containers
of the namespace std_ext_adv
are container
adapters with the behaviour and performance guarantees
defined by the underlying containers. Most of the member
functions of a container adapter simply call the corresponding
member functions of an underlying container.
The namespace std_ext_adv
offers five class templates
that support interfaces of the C++03 standard containers:
sequence , map , multimap , set , multiset ;
The class sequence
defines a union of interfaces of the
standard sequences. All other classes implement interfaces of the matching
standard associative containers.
In the current version of the namespace std_ext_adv
the advanced data structures supporting the interfaces of
the C++03 standard containers with extensions
are represented by two augmented array based B+ trees.
In a class of a container adapter a template-argument
for a template-parameter of a basic container
type can be one of the following classes:
bp_tree_array , bp_tree_array_acc ;
Each of these two classes can be used to generate an STL
container class from any sequence and associative container adapter.
Thus, the current version of the namespace std_ext_adv
can be used to instantiate 10 classes of STL containers.
The previously developed
dynamically allocated B+ trees
have been excluded, because they are less efficient than
the array based B+ trees. With those classes of basic containers
the total number of STL containers would be 24.
These B+ trees can be added in the future.
bp_tree_array
The class bp_tree_array
implements a general purpose
array based sequence. For a wide range of applications
this class represents the default basic container of
the namespace std_ext_adv
. Any STL container
adapter using the class bp_tree_array
obtains random access iterators and a number of
member functions with the improved efficiency
against standard containers.
As any other sequence a bp_tree_array
can store elements with multiple or unique keys in the order
specified by a comparison object. Thus, associative
containers using the class bp_tree_array
can take advantage of the efficient algorithms developed
for sequences and random access iterators.
sequence
The class std_ext_adv::sequence
supports the union of
interfaces of the C++03 sequence containers: std::list
,
std::deque
and std::vector
.
This new container can replace in algorithms any of these
standard containers. A sequence
supports:
All the associative containers of the namespace std_ext_adv
provide efficient access to elements by their keys and by positions.
These containers support:
The key feature of the move semantics functions of sequences is that
they do not change the total number of elements in the containers involved.
If a user algorithm can avoid or reduce the number of copy operations
move semantics provides a significant performance benefit.
The group of these functions in the C++03 is represented by the
swap()
and splice()
functions,
see the proposal to add move semantics
N1377.
The latter function is supported by std::list
only
and has linear complexity for an arbitrary range of elements.
The sequences of the namespace std_ext_adv
extend
move semantics of the standard containers by providing
the member functions splice()
and split()
that guarantee logarithmic complexity in the worst case.
For an application of these functions to strings,
see the section Examples.
All the associative containers of the namespace std_ext_adv
support the member function split()
in the same way as
sequences. However, instead of the function splice()
,
these containers provide the member function merge()
.
For associative containers with multiple equivalent elements this
function has the same effect as the function splice()
.
For associative containers that store unique elements the function
merge()
has the effect of the union operation.
In the special cases that are implemented through the function
splice()
the complexity of the function merge()
is logarithmic.
accumulate()
The class bp_tree_array_acc
adds to
the functionality of the class bp_tree_array
the efficient algorithm for the member function
accumulate()
. The function calculates the sum of
the values of consecutive container elements using
O(log N) operations in the worst case,
where N is the number of the consecutive elements.
The function is supported by every STL container adapter.
This algorithm is fundamental to many practically important
applications, such as the numerical integration, the data
analysis, the statistics etc., see the section
Examples for more details.
An array based B+ tree of the namespace std_ext_adv
implements a partition of an array into a list of sub-arrays
connected to a B-tree and takes control of the lifetime of container elements.
A container based on the array based B+ tree allocates memory
blocks of a constant size as the number of elements increases and
automatically releases unused empty blocks as the number of elements decreases.
In some aspects, the array based B+ tree represents
an enhanced pool allocator that solves
storage management problems
of the standard array based containers.
The new containers do not have the problem of exponential storage growth and
do not require from a user algorithm to shrink the storage to the optimal capacity.
Compared to dynamically allocated data structures, including
the previously developed B+ trees,
the array based B+ trees of the namespace std_ext_adv
use less space.
The contiguous arrangement of elements in sub-arrays of these trees maximizes
locality of reference. These factors improve efficiency of
search operations and sequential access to data stored in a container.
The new containers support many algorithms with the level of performance
close to that of other array based containers, such as std::vector
.
Many of the proposed STL extensions with a bit different
performance guarantees can be achieved using the augmented
red black trees. However, these data structures cannot
take advantage of the pointer arithmetic. This limitation
can be quite important given the fact that the C++11 standard
added to the STL new unordered associative containers,
forward_list
and array
.
All of these new containers offer more efficient operations
due to improved locality of reference compared to
dynamically allocated doubly linked lists and red black trees.
The fact that one basic container of the namespace std_ext_adv
supports all the types of the C++03 sequences and associative containers
shows the potential of the advanced data structures.
The array based B+ trees provide more consistent interfaces
for all variants of STL containers and thus improve
the representation of a mathematical sequence.
In the C++ standard library sequences are not completely
interchangeable, since they have differences in
the interfaces due to inefficiencies of some
supporting operations.
The increase in the number of containers supporting STL interfaces with new efficient algorithms is an important factor for the expansion of the application area of the C++ standard library. The new containers supersede the specialized STL containers, first of all sequences, with reduced interfaces, less efficient member functions and bidirectional iterators. Thus, they can improve the performance of existing algorithms using the standard containers with at least one relatively inefficient operation.
In theory, the most efficient container for a user algorithm provides the minimum total computational cost. However, the theoretical analysis and the calculation of the total cost are not effective for complex algorithms. Moreover, this method has quite significant complication associated with the effect of locality of reference that makes theoretically constant parameters dependent on the number of elements. The most reasonable practical option is the development of a generic solution using interchangeable containers.
The wide set of the efficient member functions offered by
the new containers makes them particularly beneficial
for algorithms that use various operations of sequential and
random access and frequently update data stored in a container.
In the general case, the wider the set of operations
required in a user algorithm the more significant
should be the performance gain provided by
the new containers against the C++ standard containers.
The algorithms that use a small set of container operations
will benefit from the specialized containers, such as
std::vector
, that offer the most efficient
member functions and iterators for specific applications.
The ideal application for a speciliazed container is an algorithm
with frequencies of inefficient operations all equal to zero.
In the following tables
a, b
denote container objects,
p, i, i1, i2
denote iterators,
x
denotes a value of value_type
of a container element,
n
denotes a value of an integer type,
N=size()
,
D=std::distance(i1,i2)
,
K=count(x)
,
sequence_acc
and multiset_acc
denote
containers using the class bp_tree_array_acc
.
| function | std::vector | std::list | sequence | sequence_acc |
| a.insert(p,x) | O(N) | O(1) | O(log N) | O(log N) |
| a.erase(p) | O(N) | O(1) | O(log N) | O(log N) |
| a.push_back(x) | O(1) amortized | O(1) | O(log N) | O(log N) |
| a.pop_back() | O(1) | O(1) | O(log N) | O(log N) |
| a.clear() | O(N) | O(N) | O(N) | O(N) |
| a.at(n) | O(1) | - | O(log N) | O(log N) |
| std::distance(i1,i2) | O(1) | O(D) | O(1) | O(1) |
| std::advance(i,n) | O(1) | O(n) | O(log N) | O(log N) |
| a.accumulate(i1,i2,x) | O(D) | O(D) | O(D) | O(log D) |
| a.splice(p,b) | - | O(1) | O(log N) | O(log N) |
| a.splice(p,b,i) | - | O(1) | O(log N) | O(log N) |
| a.splice(p,b,i1,i2) | - | O(D) | O(log N) | O(log N) |
| a.split(i,b) | - | - | O(log N) | O(log N) |
| a.split(i1,i2,b) | - | - | O(log N) | O(log N) |
| function | std::multiset | multiset | multiset_acc |
| a.insert(x) | O(log N) | O(log N) | O(log N) |
| a.erase(p) | O(1) amortized | O(log N) | O(log N) |
| a.clear() | O(N) | O(N) | O(N) |
| a.lower_bound(x) | O(log N) | O(log N) | O(log N) |
| a.count(x) | O(K + log N) | O(log N) | O(log N) |
| std::distance(i1,i2) | O(D) | O(1) | O(1) |
| std::advance(i,n) | O(n) | O(log N) | O(log N) |
| a.accumulate(i1,i2,x) | O(D) | O(D) | O(log D) |
| a.merge(b) | - | O(log N) - O(N log N) | O(log N) - O(N log N) |
| a.split(i,b) | - | O(log N) | O(log N) |
| a.split(i1,i2,b) | - | O(log N) | O(log N) |
Access to a single element of a sequence
through
the subscript operator[ ]
or the member function
at()
has cost O(log N) in the worst case,
where N is the container size. Thus, the total cost of
sequential processing of all the sequence
elements
through this operator and member function can reach O(N log N).
For the best performance of sequential processing that guarantees
cost O(N) algorithms should access elements through an iterator.
This method also offers the advantage of being general,
since it can be used not only with a sequence
,
but also with the associative containers.
In addition to this, in algorithms that visit distant elements
the random access iterators of the array based B+ trees
are less efficient than iterators of std::vector
.
The operators {+=, -=, +, -}
, that change
the position of a random access iterator of a B+ tree,
in the worst case have computational cost O(log N).
Revised 10 April, 2014
Copyright © 2012-2014
Vadim Stadnik
<EMAIL_ADDRESS>Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)


Data Science Boot Camp
1
Welcome
I Core theory
2
Principles of data science
2.1
What is data science?
2.2
What is the data life cycle?
2.3
What is a pipeline?
2.4
Data science ‘in the wild’
2.5
The reproducibility crisis
3
Visualizing data
3.1
Bad examples
3.2
Good exaples
3.3
Edward Tufte
3.4
Grammar of graphics
3.5
Design principles
3.6
Plots & power
4
Writing about data
5
Data ethics
II Getting started
6
Setting up RStudio
7
Running R code:
7.1
Basic math
7.2
Operators
8
RStudio workflows
8.1
Tour of RStudio
8.2
Scripts
8.3
Typical workflows
9
Objects in R
9.1
Variables
9.2
Vectors
10
Calling functions
11
Base plots
12
Packages
13
Basics of ggplot
III Working with data in R
14
Importing data
14.1
Working directories
14.2
Reading in data
15
Dataframes
15.1
Exploration
15.2
Summarization
16
Data wrangling
16.1
Data transformation
16.1.1
Filtering
16.1.2
Grouping
16.1.3
Joining
16.2
The tidyverse and tibbles
16.3
Transformation with dplyr
16.3.1
Filtering
16.3.2
Grouping
16.3.3
Mutating
IV Exploring & analyzing data
17
Exploratory Data Analysis
17.1
Exploring distributions
17.2
Variable types & statistics
17.3
Descriptive statistics
18
Significance statistics
18.1
Thinking about significance
18.2
Comparison tests
18.3
Correlation tests
19
Displaying data
19.1
Tables
19.2
Base plots
19.3
ggplot
V Creating your own dataset
19.4
Managing project files
19.5
Formatting your own data
19.6
Reading Excel files
19.7
Reading GoogleSheets
19.8
Reading online data
VI Your R tool bag
20
Joining datasets
21
For loops
22
Writing functions
23
Working with text
24
Working with dates & times
25
Working with factors
26
Cleaning messy data
27
Matrices & lists
28
Pipes
29
Exporting data & plots
30
Interactive dashboards in R
30.1
Shiny dashboards
30.2
Data entry apps
31
Databases
31.1
Intro: What, why, when (and when not)
31.2
Platforms: PostgreSQL, mySQL, SQLite, etc.
31.3
Alternatives: NoSQL
31.4
Practical: spinning up a local DB
32
Reproducible research & documentation in R
32.1
Introduction to Rmarkdown
32.2
Standards for tables
32.3
Standards for figures
33
Version control and teamwork
33.1
What is version control?
33.2
Github
33.3
Standard git operations
33.4
Other git platforms
34
Scientific writing techniques
35
Advanced skills
35.1
Geographic computing & GIS
35.2
Mapping
35.3
Statistical modeling
35.4
Apply family
35.5
Iterative analyses
35.5.1
Randomization
35.5.2
Simulations
References
Databrew LLC
Data Science Boot Camp
Module 35
Advanced skills
35.1
Geographic computing & GIS
35.2
Mapping
35.3
Statistical modeling
35.4
Apply family
35.5
Iterative analyses
35.5.1
Randomization
35.5.2
Simulations


Brian Wang
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Home
About
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Contact
Contact Information
Email me
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Brian Wang
Undergraduate Student, Department of Computer Sciences
The University of Texas at Austin


The coast of Southeast Norway has the warmest and driest weather as well as the coldest in winter. The weather in Western Norway is unreliable and generally wetter, although much milder in spring, autumn and winter.
In North Norway, winter air temperatures can persist even into July although in still weather, temperatures are raised by the long daylight hours and it can even be warmer than further south - 20+°C. It is a suprising fact that in the Lofoten Islands, the Gulf Stream keeps the mean temperature above freezing point in all months of the year and in July maximum temperatures reach well above 20degreesC.
Summer weather beyond the Arctic Circle, both in continental Norway and further north, is unreliable. Winds can be strong and the weather can change rapidly. Visibility can sometimes be poor, with low mist.
In winter, the SE coast regularly freezes over but in the west spring and autumn both last a month longer and the temperature rarely falls below 0 C. Severe storms can occur between November and February.
Take local advice if planning to winter afloat.
Telephone information :- Bergen +47 55 23 66 00 for South Norway Tromso +47 77 68 40 44 or +47 77 62 13 00 for North Norway +47 82 021 021 for Lofoten, Harstad, Andenes
Online - http://www.yr.no/english/1.2025949
For links to free global weather information, forecast services and extreme weather information see the Noonsite Weather Page.
Many Norwegian ports can be used as ports of entry (except those in military areas). Frequently used ports only are listed below and those which are official Ports of Entry marked by a *.
Jan Mayen Island: Jan Mayen Island
Svalbard (Spitsbergen): Longyearbyen * , Ny Alesund
The Skagerrak (South & East coasts): Egersund * , Farsund * , Fredrikstad * , Kristiansand * , Lillesand * , Mandal * , Moss * , Oslo * , Tonsberg *
West Coast (north of Lat.64): Bodo * , Harstad * , Tromso *
West Coast (south of Lat.64): Alesund * , Bergen * , Floro * , Hardbakke/Solund , Haugesund * , Kristiansund , Maloy * , Molde * , Rosendal , Stavanger * , Stord , Tananger , Trondheim *
* indicates port of entry


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With frequent reporting, you become an active participant in the development process and a member of our team.
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Change management
We’re accountable for the performance of our specialists and quickly handle any people-related issues that might come up.
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Personal assistance
Our account managers are your point of contact for any and all matters and work hard to make sure you’re satisfied with our services.
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Post-release support
We provide post-release support services, allowing you to constantly improve your product’s quality to meet the needs of end users.
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Technology index
We use modern, proven technologies and approaches that let us build performant and easily scalable digital products for mobile, web, wearables, TV, and IoT.


{% extends "base.html" %} {% block title %}Computing Club: About Us{% endblock %} {% block content %}
Our esteemed advisor as well as teacher and faculty here at Skagit Hilda teaches math and computer science in addition to all her work across campus and the community. As the primary contact for the club she can be reached through her email or during her office hours in Lewis Hall where she tirelessly files all the clubs paperwork for us.
Original co-founder and part-time advisor for the club Elijah has been around from the beginning. Using his Computer Systems degree from SVC and years of DIY hobbiest experience he deftly switches between programming and soldering, micro-controllers and motherboards to bring life to any project we dream up.
Our Current acting president and a CIS student here at Skagit, Alex received the Activity Honors Award last year for his work in our club and the surrounding community. A certified WhiteHat, IT help desk Technician and proud member of our thriving latina community here on campus Alex is always leading the Computing Club to new heights!
International exchange student from Korea and exceptional roboticist Mina has been our club's Vice President while she studies computer science in her goal to create the worlds first sentient AI! Her organized attitude and incredible talent with robot's has added facets to our club that have left far reaching changes throughout the club.
Since coming on board as our Public realtions officer Radar has contributed his
As our secretary Li has wholeheartedly been involved with every aspect of the club


|
hcash
2.0.0
hcash
|
#include <ChainInterface.hpp>
Public Member Functions | |
| virtual | ~ChainInterface () |
| virtual fc::time_point_sec | now () const =0 |
| bool | is_valid_symbol_name (const string &symbol) const |
| bool | is_valid_symbol_name_v1 (const string &symbol) const |
| bool | is_fraudulent_asset (const AssetEntry &suspect_entry) const |
| time_point_sec | get_genesis_timestamp () const |
| ShareType | get_max_delegate_pay_issued_per_block (bool is_coin_stake) const |
| ShareType | get_delegate_registration_fee (uint8_t pay_rate) const |
| ShareType | get_asset_registration_fee (uint8_t symbol_length) const |
| ShareType | get_imessage_need_fee (const string &imessage) const |
| ShareType | get_delegate_registration_fee_v1 (uint8_t pay_rate) const |
| ShareType | get_asset_registration_fee_v1 () const |
| ShareType | get_delegate_pay_rate_v1 () const |
| vector< AccountIdType > | get_active_delegates () const |
| void | set_active_delegates (const std::vector< AccountIdType > &active_delegates) |
| bool | is_active_delegate (const AccountIdType id) const |
| string | to_pretty_asset (const Asset &a) const |
| double | to_pretty_price_double (const Price &a) const |
| string | to_pretty_price (const Price &a) const |
| Asset | to_ugly_asset (const string &amount, const string &symbol) const |
| Price | to_ugly_price (const string &price_string, const string &base_symbol, const string "e_symbol, bool do_precision_dance=true) const |
| virtual SignedBlockHeader | get_block_header (const BlockIdType &) const =0 |
| void | set_chain_id (const DigestType &id) |
| DigestType | get_chain_id () const |
| void | set_statistics_enabled (const bool enabled) |
| bool | get_statistics_enabled () const |
| void | set_node_vm_enabled (const bool enabled) |
| bool | get_node_vm_enabled () const |
| fc::ripemd160 | get_current_random_seed () const |
| int32_t | get_current_production_info (bool is_coinstake) const |
| void | set_required_confirmations (uint64_t count) |
| uint64_t | get_required_confirmations () const |
| virtual bool | is_known_transaction (const Transaction &trx) const =0 |
| virtual oTransactionEntry | get_transaction (const TransactionIdType &trx_id, bool exact=true) const =0 |
| virtual void | store_transaction (const TransactionIdType &id, const TransactionEntry &entry)=0 |
| AssetIdType | last_asset_id () const |
| AssetIdType | new_asset_id () |
| AccountIdType | last_account_id () const |
| AccountIdType | new_account_id () |
| ImessageLengthIdType | get_imessage_min_length () const |
| void | set_imessage_min_length (const ImessageLengthIdType &imessage_length) |
| ImessageIdType | get_imessage_fee_coefficient () const |
| void | set_imessage_fee_coefficient (const ImessageIdType &fee_coe) |
| SignedTransaction | transfer_asset_from_contract (ShareType real_amount_to_transfer, const string &amount_to_transfer_symbol, const Address &from_contract_address, const string &to_account_name, SignedTransaction &trx) |
| SignedTransaction | transfer_asset_from_contract (ShareType real_amount_to_transfer, const string &amount_to_transfer_symbol, const Address &from_contract_address, const Address &to_account_address, SignedTransaction &trx) |
| virtual uint32_t | get_head_block_num () const =0 |
| virtual fc::time_point_sec | get_head_block_timestamp () const =0 |
| oPropertyEntry | get_property_entry (const PropertyIdType id) const |
| void | store_property_entry (const PropertyIdType id, const variant &value) |
| oAccountEntry | get_account_entry (const AccountIdType id) const |
| oAccountEntry | get_account_entry (const string &name) const |
| oAccountEntry | get_account_entry (const Address &addr) const |
| void | store_account_entry (const AccountEntry &entry) |
| oAssetEntry | get_asset_entry (const AssetIdType id) const |
| oAssetEntry | get_asset_entry (const string &symbol) const |
| void | store_asset_entry (const AssetEntry &entry) |
| oSlateEntry | get_slate_entry (const SlateIdType id) const |
| void | store_slate_entry (const SlateEntry &entry) |
| oBalanceEntry | get_balance_entry (const BalanceIdType &id) const |
| void | store_balance_entry (const BalanceEntry &entry) |
| oSlotEntry | get_slot_entry (const SlotIndex index) const |
| oSlotEntry | get_slot_entry (const time_point_sec timestamp) const |
| void | store_slot_entry (const SlotEntry &entry) |
| int | get_limit (AssetIdType id, ShareType amount) |
| Asset | get_amount (ShareType limit, AssetIdType asset_id=0) |
| Asset | get_transaction_fee (const AssetIdType desired_fee_asset_id=0) const |
| Asset | get_contract_register_fee (const Code &) const |
| Asset | get_default_margin (const AssetIdType desired_fee_asset_id=0) const |
| BalanceIdType | get_balanceid (const Address &contract_address, WithdrawBalanceTypes balance_type=WithdrawBalanceTypes::withdraw_common_type) |
| void | withdraw_from_contract (const Asset &amount_to_withdraw, const Address &from_contract_address, SignedTransaction &trx) |
| oContractEntry | get_contract_entry (const ContractIdType &id) const |
| oContractEntry | get_contract_entry (const ContractName &name) const |
| void | remove_contract_entry (const ContractIdType &id) |
| void | store_contract_entry (const ContractEntry &entry) |
| oContractStorage | get_contractstorage_entry (const ContractIdType &id) const |
| void | remove_contractstorage_entry (const ContractIdType &id) |
| void | store_contractstorage_entry (const ContractStorageEntry &entry) |
| bool | is_destroyed_contract (const ContractState state) const |
| bool | is_temporary_contract (const ContractLevel level) const |
| bool | is_valid_contract_name (const string &name) const |
| bool | is_valid_contract_description (const string &description) const |
| virtual BlockIdType | get_block_id (uint32_t block_num) const =0 |
| template<typename T , typename U > | |
| optional< T > | lookup (const U &key) const |
| template<typename T , typename U > | |
| void | store (const U &key, const T &entry) |
| template<typename T , typename U > | |
| void | remove (const U &key) |
| bool | is_valid_symbol (const string &asset_symbol) const |
Static Public Member Functions | |
| static bool | is_valid_account_name (const string &name) |
|
inlinevirtual |
| oAccountEntry hsrcore::blockchain::ChainInterface::get_account_entry | ( | const AccountIdType | id | ) | const |
Retrieves specified account entry according ID from db
| id | id of specified account |
| oAccountEntry hsrcore::blockchain::ChainInterface::get_account_entry | ( | const string & | name | ) | const |
Retrieves specified account entry according name from db
| name | name of specified account |
| oAccountEntry hsrcore::blockchain::ChainInterface::get_account_entry | ( | const Address & | addr | ) | const |
Retrive specified account entry according address from db
| address | address of specified account |
| vector< AccountIdType > hsrcore::blockchain::ChainInterface::get_active_delegates | ( | ) | const |
get all active delegates and return all delegate ids
| hsrcore::blockchain::Asset hsrcore::blockchain::ChainInterface::get_amount | ( | ShareType | limit, |
| AssetIdType | asset_id = 0 |
||
| ) |
| oAssetEntry hsrcore::blockchain::ChainInterface::get_asset_entry | ( | const AssetIdType | id | ) | const |
Get specified asset entry from db
| id | id of specified asset |
| oAssetEntry hsrcore::blockchain::ChainInterface::get_asset_entry | ( | const string & | symbol | ) | const |
Get specified asset entry from db
| symbol | symbol of specified asset |
| ShareType hsrcore::blockchain::ChainInterface::get_asset_registration_fee | ( | uint8_t | symbol_length | ) | const |
Get fee for registing an Asset
| pay_rate |
| ShareType hsrcore::blockchain::ChainInterface::get_asset_registration_fee_v1 | ( | ) | const |
| oBalanceEntry hsrcore::blockchain::ChainInterface::get_balance_entry | ( | const BalanceIdType & | id | ) | const |
get_balance_entry Get balance entry from database according id
| id | BalanceIdType |
| BalanceIdType hsrcore::blockchain::ChainInterface::get_balanceid | ( | const Address & | contract_address, |
| WithdrawBalanceTypes | balance_type = WithdrawBalanceTypes::withdraw_common_type |
||
| ) |
|
pure virtual |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
|
pure virtual |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
| DigestType hsrcore::blockchain::ChainInterface::get_chain_id | ( | ) | const |
Get blockchain id from property database
| oContractEntry hsrcore::blockchain::ChainInterface::get_contract_entry | ( | const ContractIdType & | id | ) | const |
| oContractEntry hsrcore::blockchain::ChainInterface::get_contract_entry | ( | const ContractName & | name | ) | const |
| oContractStorage hsrcore::blockchain::ChainInterface::get_contractstorage_entry | ( | const ContractIdType & | id | ) | const |
| int32_t hsrcore::blockchain::ChainInterface::get_current_production_info | ( | bool | is_coinstake | ) | const |
| fc::ripemd160 hsrcore::blockchain::ChainInterface::get_current_random_seed | ( | ) | const |
get_current_random_seed
get currnet random seed from property database
| Asset hsrcore::blockchain::ChainInterface::get_default_margin | ( | const AssetIdType | desired_fee_asset_id = 0 | ) | const |
| ShareType hsrcore::blockchain::ChainInterface::get_delegate_pay_rate_v1 | ( | ) | const |
| ShareType hsrcore::blockchain::ChainInterface::get_delegate_registration_fee | ( | uint8_t | pay_rate | ) | const |
Get fee for registing as a delegate
| pay_rate |
| ShareType hsrcore::blockchain::ChainInterface::get_delegate_registration_fee_v1 | ( | uint8_t | pay_rate | ) | const |
| time_point_sec hsrcore::blockchain::ChainInterface::get_genesis_timestamp | ( | ) | const |
Get time of genesis(registion of Asset HSR)
|
pure virtual |
get_head_block_num
Get the number of head block
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
|
pure virtual |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
| ImessageIdType hsrcore::blockchain::ChainInterface::get_imessage_fee_coefficient | ( | ) | const |
| ImessageLengthIdType hsrcore::blockchain::ChainInterface::get_imessage_min_length | ( | ) | const |
| ShareType hsrcore::blockchain::ChainInterface::get_imessage_need_fee | ( | const string & | imessage | ) | const |
| int hsrcore::blockchain::ChainInterface::get_limit | ( | AssetIdType | id, |
| ShareType | amount | ||
| ) |
| ShareType hsrcore::blockchain::ChainInterface::get_max_delegate_pay_issued_per_block | ( | bool | is_coin_stake | ) | const |
get_max_delegate_pay_issued_per_block
get max fee that issued by dalegates generating a block
| bool hsrcore::blockchain::ChainInterface::get_node_vm_enabled | ( | ) | const |
| oPropertyEntry hsrcore::blockchain::ChainInterface::get_property_entry | ( | const PropertyIdType | id | ) | const |
get_property_entry Get property entry from property database according property
| id | property_id_type |
| uint64_t hsrcore::blockchain::ChainInterface::get_required_confirmations | ( | ) | const |
get_required_confirmations
get num of confiermations_required from property database
| oSlateEntry hsrcore::blockchain::ChainInterface::get_slate_entry | ( | const SlateIdType | id | ) | const |
Get slate entry from db according slate id
| id | slate id |
| oSlotEntry hsrcore::blockchain::ChainInterface::get_slot_entry | ( | const SlotIndex | index | ) | const |
get_slot_entry Get slot entry from database according index
| index | index of slot entry |
| oSlotEntry hsrcore::blockchain::ChainInterface::get_slot_entry | ( | const time_point_sec | timestamp | ) | const |
get slot entry by timestamp
| timestamp | time_point_sec |
| bool hsrcore::blockchain::ChainInterface::get_statistics_enabled | ( | ) | const |
Get the value from property database with id statistics_enabled
|
pure virtual |
Get a transaction according transaction id
| trx_id | id of the target transaction |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
| Asset hsrcore::blockchain::ChainInterface::get_transaction_fee | ( | const AssetIdType | desired_fee_asset_id = 0 | ) | const |
| bool hsrcore::blockchain::ChainInterface::is_active_delegate | ( | const AccountIdType | id | ) | const |
Check whether an account is a active delegate
| id | id of the account that to be checked |
| bool hsrcore::blockchain::ChainInterface::is_destroyed_contract | ( | const ContractState | state | ) | const |
| bool hsrcore::blockchain::ChainInterface::is_fraudulent_asset | ( | const AssetEntry & | suspect_entry | ) | const |
Determine whether an asset associated with the specified assetentry is fraudulent
| suspect_entry | assetentry accociatied with the asset |
|
pure virtual |
chech whether a transaction is known
| trx | transaction to be checked |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
| bool hsrcore::blockchain::ChainInterface::is_temporary_contract | ( | const ContractLevel | level | ) | const |
|
static |
is_valid_account_name Determine whether a string is a valid account name
| name | name to be checked |
| bool hsrcore::blockchain::ChainInterface::is_valid_contract_description | ( | const string & | description | ) | const |
| bool hsrcore::blockchain::ChainInterface::is_valid_contract_name | ( | const string & | name | ) | const |
| bool hsrcore::blockchain::ChainInterface::is_valid_symbol | ( | const string & | asset_symbol | ) | const |
Is asset symbol valid
| asset_symbol | string |
| bool hsrcore::blockchain::ChainInterface::is_valid_symbol_name | ( | const string & | symbol | ) | const |
is_valid_symbol_name Determine whether a string is a valid asset symbol
| symbol | symbol to be checked |
Symbol names can be hierarchical: for example a primary symbol name, a '.', and a sub-symbol name. A primary symbol name must be a minimum of 3 and a maximum of 8 characters in length. Primary names can only contain uppercase letters (digits are not allowed to avoid 0 and 1 spoofing). A hierarchical symbol name (consisting of a primary symbol name, a dot, and a sub-symbol name) can be up to 12 chars in total length (including the dot). Sub-symbol names can contain uppercase letters or digits (digits are allowed in sub-symbols because the namespace is overseen by the owner of the primary symbol and is therefore not subject to spoofing).
To fit under the 12 character limit, it is likely that users planning to register hierarchical names will choose shorter (more expensive) symbol names for their primary symbol, so that they can mirror more primary symbol names. The max of 12 for hierarchical symbol names will allow hierarchical mirroring of long primary symbol characters as long as the primary symbol buyer purchases a symbol of 3 in size. For example, if CRY was chosen as the primary symbol, CRY.ABCDEFGH could be registered. But if a longer name was chosen as a primary symbol, such as CRYPTO, then only symbols up to 5 in length can be mirrored (i.e CRYPTO.ABCDEFGH would be too long).
| bool hsrcore::blockchain::ChainInterface::is_valid_symbol_name_v1 | ( | const string & | symbol | ) | const |
Determine whether a string is a valid asset symbol
| symbol | string |
| AccountIdType hsrcore::blockchain::ChainInterface::last_account_id | ( | ) | const |
last_account_id
get id of last account
| AssetIdType hsrcore::blockchain::ChainInterface::last_asset_id | ( | ) | const |
last_asset_id
get id of last asset
|
inline |
call T::lookup to get an T type data from database according key
| key | key used to find data |
| AccountIdType hsrcore::blockchain::ChainInterface::new_account_id | ( | ) |
new_account_id
Get an id which can be used as id of new account
| AssetIdType hsrcore::blockchain::ChainInterface::new_asset_id | ( | ) |
new_asset_id
get an id which can be used as id of new asset
|
pure virtual |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
|
inline |
call T::remove to remove an T type data from database according key
| key | key used to find data |
| void hsrcore::blockchain::ChainInterface::remove_contract_entry | ( | const ContractIdType & | id | ) |
| void hsrcore::blockchain::ChainInterface::remove_contractstorage_entry | ( | const ContractIdType & | id | ) |
| void hsrcore::blockchain::ChainInterface::set_active_delegates | ( | const std::vector< AccountIdType > & | active_delegates | ) |
set_active_delegates save a list of active delegates to database
| active_delegates | delegate to be save |
| void hsrcore::blockchain::ChainInterface::set_chain_id | ( | const DigestType & | id | ) |
set_chain_id Store id into property database as chain id
| id | DigestType |
| void hsrcore::blockchain::ChainInterface::set_imessage_fee_coefficient | ( | const ImessageIdType & | fee_coe | ) |
| void hsrcore::blockchain::ChainInterface::set_imessage_min_length | ( | const ImessageLengthIdType & | imessage_length | ) |
| void hsrcore::blockchain::ChainInterface::set_node_vm_enabled | ( | const bool | enabled | ) |
| void hsrcore::blockchain::ChainInterface::set_required_confirmations | ( | uint64_t | count | ) |
set_required_confirmations store the input uint64_t value into property database with the id confirmation_requirement
| count | uint64_t |
| void hsrcore::blockchain::ChainInterface::set_statistics_enabled | ( | const bool | enabled | ) |
set_statistics_enabled store the input bool value into property database with the id statistics_enabled
| enabled | bool |
|
inline |
call T::store to Store an T type data into database according key
| key | key used to find data |
| entry | entry to be stored |
| void hsrcore::blockchain::ChainInterface::store_account_entry | ( | const AccountEntry & | entry | ) |
store_account_entry store account entry into database
| entry | AccountEntry to be stored |
| void hsrcore::blockchain::ChainInterface::store_asset_entry | ( | const AssetEntry & | entry | ) |
store_asset_entry Store asset entry into database
| entry | AssetEntry to be stored |
| void hsrcore::blockchain::ChainInterface::store_balance_entry | ( | const BalanceEntry & | entry | ) |
store_balance_entry Store balance entry into balance entry
| entry | BalanceEntry |
| void hsrcore::blockchain::ChainInterface::store_contract_entry | ( | const ContractEntry & | entry | ) |
| void hsrcore::blockchain::ChainInterface::store_contractstorage_entry | ( | const ContractStorageEntry & | entry | ) |
| void hsrcore::blockchain::ChainInterface::store_property_entry | ( | const PropertyIdType | id, |
| const variant & | value | ||
| ) |
store_property_entry Store value into property database with specified id
| id | property_id_type |
| value | variant |
| void hsrcore::blockchain::ChainInterface::store_slate_entry | ( | const SlateEntry & | entry | ) |
store_slate_entry store slate entry into database
| entry | SlateEntry to be stored |
| void hsrcore::blockchain::ChainInterface::store_slot_entry | ( | const SlotEntry & | entry | ) |
store_slot_entry Store slot entry into database
| entry | SlotEntry |
|
pure virtual |
Store a transaction into database
| trx_id | id of the transaction |
| entry | transaction entry to be stored |
Implemented in hsrcore::blockchain::ChainDatabase, and hsrcore::blockchain::PendingChainState.
| string hsrcore::blockchain::ChainInterface::to_pretty_asset | ( | const Asset & | a | ) | const |
converts an asset + asset_id to a more friendly representation using the symbol name
| a | Asset to be formated |
| string hsrcore::blockchain::ChainInterface::to_pretty_price | ( | const Price & | a | ) | const |
Convert a price object to a string
| price_to_pretty_print | Price |
| double hsrcore::blockchain::ChainInterface::to_pretty_price_double | ( | const Price & | a | ) | const |
Convert a price object to a double
| price_to_pretty_print | Price |
| Asset hsrcore::blockchain::ChainInterface::to_ugly_asset | ( | const string & | amount, |
| const string & | symbol | ||
| ) | const |
to_ugly_asset converts a numeric string + asset symbol to an asset
| amount | std::string |
| symbol | std::string |
| Price hsrcore::blockchain::ChainInterface::to_ugly_price | ( | const string & | price_string, |
| const string & | base_symbol, | ||
| const string & | quote_symbol, | ||
| bool | do_precision_dance = true |
||
| ) | const |
to_ugly_price converts a numeric string and two asset symbols to a price
| price_string | std::string |
| base_symbol | std::string |
| quote_symbol | std::string |
| do_precision_dance | bool |
| SignedTransaction hsrcore::blockchain::ChainInterface::transfer_asset_from_contract | ( | ShareType | real_amount_to_transfer, |
| const string & | amount_to_transfer_symbol, | ||
| const Address & | from_contract_address, | ||
| const string & | to_account_name, | ||
| SignedTransaction & | trx | ||
| ) |
| SignedTransaction hsrcore::blockchain::ChainInterface::transfer_asset_from_contract | ( | ShareType | real_amount_to_transfer, |
| const string & | amount_to_transfer_symbol, | ||
| const Address & | from_contract_address, | ||
| const Address & | to_account_address, | ||
| SignedTransaction & | trx | ||
| ) |
| void hsrcore::blockchain::ChainInterface::withdraw_from_contract | ( | const Asset & | amount_to_withdraw, |
| const Address & | from_contract_address, | ||
| SignedTransaction & | trx | ||
| ) |


| | |
- import_export.admin.ImportExportMixin(import_export.admin.ImportMixin, import_export.admin.ExportMixin)
-
- MovieLocationAdmin(import_export.admin.ImportExportModelAdmin, import_export.admin.ImportExportMixin)
- import_export.admin.ImportExportModelAdmin(import_export.admin.ImportExportMixin, django.contrib.admin.options.ModelAdmin)
-
- MovieLocationAdmin(import_export.admin.ImportExportModelAdmin, import_export.admin.ImportExportMixin)
- import_export.resources.ModelResource(import_export.resources.Resource)
-
- MovieLocationResource
class MovieLocationAdmin(import_export.admin.ImportExportModelAdmin, import_export.admin.ImportExportMixin) |
| | |
- Method resolution order:
- MovieLocationAdmin
- import_export.admin.ImportExportModelAdmin
- import_export.admin.ImportExportMixin
- import_export.admin.ImportMixin
- import_export.admin.ExportMixin
- import_export.admin.ImportExportMixinBase
- django.contrib.admin.options.ModelAdmin
- django.contrib.admin.options.BaseModelAdmin
- builtins.object
Data descriptors defined here:
- media
Data and other attributes defined here:
- from_encoding = 'utf-8'
- resource_class = <class 'app.admin.MovieLocationResource'>
Data and other attributes inherited from import_export.admin.ImportExportMixin:
- change_list_template = 'admin/import_export/change_list_import_export.html'
Methods inherited from import_export.admin.ImportMixin:
- get_import_formats(self)
- Returns available import formats.
- get_import_resource_class(self)
- Returns ResourceClass to use for import.
- get_resource_class(self)
- get_urls(self)
- import_action(self, request, *args, **kwargs)
- Perform a dry_run of the import to make sure the import will not
result in errors. If there where no error, save the user
uploaded file to a local temp file that will be used by
'process_import' for the actual import.
- process_import(self, request, *args, **kwargs)
- Perform the actual import action (after the user has confirmed he
wishes to import)
Data and other attributes inherited from import_export.admin.ImportMixin:
- formats = (<class 'import_export.formats.base_formats.CSV'>, <class 'import_export.formats.base_formats.XLS'>, <class 'import_export.formats.base_formats.TSV'>, <class 'import_export.formats.base_formats.ODS'>, <class 'import_export.formats.base_formats.JSON'>, <class 'import_export.formats.base_formats.YAML'>, <class 'import_export.formats.base_formats.HTML'>)
- import_template_name = 'admin/import_export/import.html'
Methods inherited from import_export.admin.ExportMixin:
- export_action(self, request, *args, **kwargs)
- get_export_data(self, file_format, queryset)
- Returns file_format representation for given queryset.
- get_export_filename(self, file_format)
- get_export_formats(self)
- Returns available import formats.
- get_export_queryset(self, request)
- Returns export queryset.
Default implementation respects applied search and filters.
- get_export_resource_class(self)
- Returns ResourceClass to use for export.
Data and other attributes inherited from import_export.admin.ExportMixin:
- export_template_name = 'admin/import_export/export.html'
- to_encoding = 'utf-8'
Methods inherited from import_export.admin.ImportExportMixinBase:
- get_model_info(self)
Data descriptors inherited from import_export.admin.ImportExportMixinBase:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from django.contrib.admin.options.ModelAdmin:
- __init__(self, model, admin_site)
- __str__(self)
- action_checkbox(self, obj)
- A list_display column containing a checkbox widget.
- add_view(self, request, form_url='', extra_context=None)
- change_view(self, request, object_id, form_url='', extra_context=None)
- changeform_view(self, request, object_id=None, form_url='', extra_context=None)
- changelist_view(self, request, extra_context=None)
- The 'change list' admin view for this model.
- construct_change_message(self, request, form, formsets)
- Construct a change message from a changed object.
- delete_model(self, request, obj)
- Given a model instance delete it from the database.
- delete_view(self, request, object_id, extra_context=None)
- The 'delete' admin view for this model.
- get_action(self, action)
- Return a given action from a parameter, which can either be a callable,
or the name of a method on the ModelAdmin. Return is a tuple of
(callable, name, description).
- get_action_choices(self, request, default_choices=[('', '---------')])
- Return a list of choices for use in a form object. Each choice is a
tuple (name, description).
- get_actions(self, request)
- Return a dictionary mapping the names of all actions for this
ModelAdmin to a tuple of (callable, name, description) for each action.
- get_changeform_initial_data(self, request)
- Get the initial form data.
Unless overridden, this populates from the GET params.
- get_changelist(self, request, **kwargs)
- Returns the ChangeList class for use on the changelist page.
- get_changelist_form(self, request, **kwargs)
- Returns a Form class for use in the Formset on the changelist page.
- get_changelist_formset(self, request, **kwargs)
- Returns a FormSet class for use on the changelist page if list_editable
is used.
- get_fields(self, request, obj=None)
- get_form(self, request, obj=None, **kwargs)
- Returns a Form class for use in the admin add view. This is used by
add_view and change_view.
- get_formsets(self, request, obj=None)
- get_formsets_with_inlines(self, request, obj=None)
- Yields formsets and the corresponding inlines.
- get_inline_formsets(self, request, formsets, inline_instances, obj=None)
- get_inline_instances(self, request, obj=None)
- get_list_display(self, request)
- Return a sequence containing the fields to be displayed on the
changelist.
- get_list_display_links(self, request, list_display)
- Return a sequence containing the fields to be displayed as links
on the changelist. The list_display parameter is the list of fields
returned by get_list_display().
- get_list_filter(self, request)
- Returns a sequence containing the fields to be displayed as filters in
the right sidebar of the changelist page.
- get_model_perms(self, request)
- Returns a dict of all perms for this model. This dict has the keys
``add``, ``change``, and ``delete`` mapping to the True/False for each
of those actions.
- get_object(self, request, object_id)
- Returns an instance matching the primary key provided. ``None`` is
returned if no match is found (or the object_id failed validation
against the primary key field).
- get_paginator(self, request, queryset, per_page, orphans=0, allow_empty_first_page=True)
- get_preserved_filters(self, request)
- Returns the preserved filters querystring.
- get_search_fields(self, request)
- Returns a sequence containing the fields to be searched whenever
somebody submits a search query.
- get_search_results(self, request, queryset, search_term)
- Returns a tuple containing a queryset to implement the search,
and a boolean indicating if the results may contain duplicates.
- history_view(self, request, object_id, extra_context=None)
- The 'history' admin view for this model.
- log_addition(self, request, object)
- Log that an object has been successfully added.
The default implementation creates an admin LogEntry object.
- log_change(self, request, object, message)
- Log that an object has been successfully changed.
The default implementation creates an admin LogEntry object.
- log_deletion(self, request, object, object_repr)
- Log that an object will be deleted. Note that this method must be
called before the deletion.
The default implementation creates an admin LogEntry object.
- message_user(self, request, message, level=20, extra_tags='', fail_silently=False)
- Send a message to the user. The default implementation
posts a message using the django.contrib.messages backend.
Exposes almost the same API as messages.add_message(), but accepts the
positional arguments in a different order to maintain backwards
compatibility. For convenience, it accepts the `level` argument as
a string rather than the usual level number.
- render_change_form(self, request, context, add=False, change=False, form_url='', obj=None)
- render_delete_form(self, request, context)
- response_action(self, request, queryset)
- Handle an admin action. This is called if a request is POSTed to the
changelist; it returns an HttpResponse if the action was handled, and
None otherwise.
- response_add(self, request, obj, post_url_continue=None)
- Determines the HttpResponse for the add_view stage.
- response_change(self, request, obj)
- Determines the HttpResponse for the change_view stage.
- response_delete(self, request, obj_display)
- Determines the HttpResponse for the delete_view stage.
- response_post_save_add(self, request, obj)
- Figure out where to redirect after the 'Save' button has been pressed
when adding a new object.
- response_post_save_change(self, request, obj)
- Figure out where to redirect after the 'Save' button has been pressed
when editing an existing object.
- save_form(self, request, form, change)
- Given a ModelForm return an unsaved instance. ``change`` is True if
the object is being changed, and False if it's being added.
- save_formset(self, request, form, formset, change)
- Given an inline formset save it to the database.
- save_model(self, request, obj, form, change)
- Given a model instance save it to the database.
- save_related(self, request, form, formsets, change)
- Given the ``HttpRequest``, the parent ``ModelForm`` instance, the
list of inline formsets and a boolean value based on whether the
parent is being added or changed, save the related objects to the
database. Note that at this point save_form() and save_model() have
already been called.
Data descriptors inherited from django.contrib.admin.options.ModelAdmin:
- urls
Data and other attributes inherited from django.contrib.admin.options.ModelAdmin:
- action_form = <class 'django.contrib.admin.helpers.ActionForm'>
- actions = []
- actions_on_bottom = False
- actions_on_top = True
- actions_selection_counter = True
- add_form_template = None
- change_form_template = None
- checks_class = <class 'django.contrib.admin.checks.ModelAdminChecks'>
- date_hierarchy = None
- default_validator_class = <class 'django.contrib.admin.validation.ModelAdminValidator'>
- delete_confirmation_template = None
- delete_selected_confirmation_template = None
- inlines = []
- list_display = ('__str__',)
- list_display_links = ()
- list_editable = ()
- list_filter = ()
- list_max_show_all = 200
- list_per_page = 100
- list_select_related = False
- object_history_template = None
- paginator = <class 'django.core.paginator.Paginator'>
- preserve_filters = True
- save_as = False
- save_on_top = False
- search_fields = ()
Methods inherited from django.contrib.admin.options.BaseModelAdmin:
- formfield_for_choice_field(self, db_field, request=None, **kwargs)
- Get a form Field for a database Field that has declared choices.
- formfield_for_dbfield(self, db_field, **kwargs)
- Hook for specifying the form Field instance for a given database Field
instance.
If kwargs are given, they're passed to the form Field's constructor.
- formfield_for_foreignkey(self, db_field, request=None, **kwargs)
- Get a form Field for a ForeignKey.
- formfield_for_manytomany(self, db_field, request=None, **kwargs)
- Get a form Field for a ManyToManyField.
- get_field_queryset(self, db, db_field, request)
- If the ModelAdmin specifies ordering, the queryset should respect that
ordering. Otherwise don't specify the queryset, let the field decide
(returns None in that case).
- get_fieldsets(self, request, obj=None)
- Hook for specifying fieldsets.
- get_ordering(self, request)
- Hook for specifying field ordering.
- get_prepopulated_fields(self, request, obj=None)
- Hook for specifying custom prepopulated fields.
- get_queryset(self, request)
- Returns a QuerySet of all model instances that can be edited by the
admin site. This is used by changelist_view.
- get_readonly_fields(self, request, obj=None)
- Hook for specifying custom readonly fields.
- get_view_on_site_url(self, obj=None)
- has_add_permission(self, request)
- Returns True if the given request has permission to add an object.
Can be overridden by the user in subclasses.
- has_change_permission(self, request, obj=None)
- Returns True if the given request has permission to change the given
Django model instance, the default implementation doesn't examine the
`obj` parameter.
Can be overridden by the user in subclasses. In such case it should
return True if the given request has permission to change the `obj`
model instance. If `obj` is None, this should return True if the given
request has permission to change *any* object of the given type.
- has_delete_permission(self, request, obj=None)
- Returns True if the given request has permission to change the given
Django model instance, the default implementation doesn't examine the
`obj` parameter.
Can be overridden by the user in subclasses. In such case it should
return True if the given request has permission to delete the `obj`
model instance. If `obj` is None, this should return True if the given
request has permission to delete *any* object of the given type.
- lookup_allowed(self, lookup, value)
- queryset = wrapped(*args, **kwargs)
- to_field_allowed(self, request, to_field)
- Returns True if the model associated with this admin should be
allowed to be referenced by the specified field.
Class methods inherited from django.contrib.admin.options.BaseModelAdmin:
- check(model, **kwargs) from django.contrib.admin.options.RenameBaseModelAdminMethods
- validate(model) from django.contrib.admin.options.RenameBaseModelAdminMethods
Data descriptors inherited from django.contrib.admin.options.BaseModelAdmin:
- declared_fieldsets
Data and other attributes inherited from django.contrib.admin.options.BaseModelAdmin:
- exclude = None
- fields = None
- fieldsets = None
- filter_horizontal = ()
- filter_vertical = ()
- form = <class 'django.forms.models.ModelForm'>
- formfield_overrides = {}
- ordering = None
- prepopulated_fields = {}
- radio_fields = {}
- raw_id_fields = ()
- readonly_fields = ()
- validator_class = None
- view_on_site = True
|
class MovieLocationResource(import_export.resources.ModelResource) |
| | |
- Method resolution order:
- MovieLocationResource
- import_export.resources.ModelResource
- import_export.resources.Resource
- builtins.object
Data and other attributes defined here:
- Meta = <class 'app.admin.MovieLocationResource.Meta'>
- fields = OrderedDict([('id', <import_export.fields.Field:...tude', <import_export.fields.Field: longitude>)])
Methods inherited from import_export.resources.ModelResource:
- get_import_id_fields(self)
- get_queryset(self)
- init_instance(self, row=None)
Class methods inherited from import_export.resources.ModelResource:
- field_from_django_field(field_name, django_field, readonly) from import_export.resources.ModelDeclarativeMetaclass
- Returns a Resource Field instance for the given Django model field.
- widget_from_django_field(f, default=) from import_export.resources.ModelDeclarativeMetaclass
- Returns the widget that would likely be associated with each
Django type.
- widget_kwargs_for_field(field_name) from import_export.resources.ModelDeclarativeMetaclass
- Returns widget kwargs for given field_name.
Methods inherited from import_export.resources.Resource:
- after_delete_instance(self, instance, dry_run)
- Override to add additional logic.
- after_save_instance(self, instance, dry_run)
- Override to add additional logic.
- before_delete_instance(self, instance, dry_run)
- Override to add additional logic.
- before_import(self, dataset, dry_run)
- Override to add additional logic.
- before_save_instance(self, instance, dry_run)
- Override to add additional logic.
- delete_instance(self, instance, dry_run=False)
- export(self, queryset=None)
- Exports a resource.
- export_field(self, field, obj)
- export_resource(self, obj)
- for_delete(self, row, instance)
- Returns ``True`` if ``row`` importing should delete instance.
Default implementation returns ``False``.
Override this method to handle deletion.
- get_diff(self, original, current, dry_run=False)
- Get diff between original and current object when ``import_data``
is run.
``dry_run`` allows handling special cases when object is not saved
to database (ie. m2m relationships).
- get_diff_headers(self)
- Diff representation headers.
- get_export_headers(self)
- get_export_order(self)
- get_fields(self)
- Returns fields in ``export_order`` order.
- get_instance(self, instance_loader, row)
- get_or_init_instance(self, instance_loader, row)
- get_use_transactions(self)
- import_data(self, dataset, dry_run=False, raise_errors=False, use_transactions=None)
- Imports data from ``dataset``.
``use_transactions``
If ``True`` import process will be processed inside transaction.
If ``dry_run`` is set, or error occurs, transaction will be rolled
back.
- import_field(self, field, obj, data)
- import_obj(self, obj, data, dry_run)
- save_instance(self, instance, dry_run=False)
- save_m2m(self, obj, data, dry_run)
- Saves m2m fields.
Model instance need to have a primary key value before
a many-to-many relationship can be used.
- skip_row(self, instance, original)
- Returns ``True`` if ``row`` importing should be skipped.
Default implementation returns ``False`` unless skip_unchanged == True.
Override this method to handle skipping rows meeting certain conditions.
Class methods inherited from import_export.resources.Resource:
- get_field_name(field) from import_export.resources.ModelDeclarativeMetaclass
- Returns field name for given field.
Data descriptors inherited from import_export.resources.Resource:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


Hextrapolate 2.0b released
-
Greg Hurrell
Hextrapolate (formerly known as WinHex) version 2.0 beta has been seeded to testers. You can read more about it here:
https://wincent.com/a/news/archives/2007/04/hextrapolate_20.php
-
Britta
Has this been discontinued? It currently won't run with Snow Leopard. There was a bug report a long time age. Cheers Brian
NAT
-
Greg Hurrell
Effectively, yes, although there are times when I'd still like to use it if I could. I'll try to find the time to either open source the code, get it building on the lastest OS X to cut a new release, or both.
Reply
This topic is now closed.


HK to shut all schools on Thursday for safety reasons
by ReutersAll schools in Hong Kong will suspend classes on Thursday due to transportation and safety reasons, the Hong Kong Education Bureau said on Wednesday.
The bureau made the announcement in an statement, and urged protestors to stop all violent acts.
Hong Kong prepared for more clashes on Wednesday as anti-government protesters paralyzed parts of the Asian financial hub for a third day, with some transport links, schools and many businesses closing after an escalation of violence.


French zoo seeks red panda after breakout
by AFPSAINT-ÉTIENNE, FRANCE: A zoo in central France is searching for a runaway red panda which took advantage of heavy snowfall that brought down trees to climb from branch-to-branch out of its enclosure.
The hopes of the zoological park in Saint-Martin-la-Plaine in central France of recovering the furry mammal, which resembles a raccoon, were boosted after a motorist on Wednesday spotted the animal and alerted the police.
The three-year-old male escaped a week ago, “taking advantage of the damage caused by snowfall,” the zoo’s director Pierre Thivillon said.
Its female partner did not follow it out of the enclosure.
“People who see it must warn us and try not to let it out of sight so that we can capture it,” said Thivillon.
The driver spotted the animal some 10 kilometres (six miles) from the zoo but the police and zoo staff have been unable to locate it.
Red pandas are unrelated to the more famous giant pandas. They are not bears and have their own taxonomically unique family called Ailuridae.
The shy creatures spend most of their time in trees and are not considered dangerous.


The monitoring plugin adds support for chat archiving and server statistics to Openfire. It provides support for generating various reports on the server statistics, as well as managing, viewing, and reporting on chat logs.
As of version 1.3 this plugin combines Stefan Reuter's Open Archive plugin to provide XEP-0136 automated archiving and message retrieval for one-to-one and MUC chat. Starting with 1.4.6 version it also supports newer XEP-0313: Message Archive Management protocol.
Copy monitoring.jar into the plugins directory of your Openfire installation. The plugin will then be automatically deployed. To upgrade to a new version, copy the new monitoring.jar file over the existing file.
If you are upgrading from the Enterprise plugin, and wish to keep your old statistics and logs, you will need to manually run some database scripts to perform the migration. Note, if you don't care about your previous statistics and chat logs, you don't have to worry about these steps.
First, you will need to shut down your Openfire server and remove the enterprise plugin. To do this, perform the following steps:
Chat archiving is enabled by default. However, only information about
who is communicating and at what time is stored unless chat transcript
archiving is enabled. To enable chat transcript archiving or group chat
archiving, you will need to log into the admin console and go to:
Server --> Archiving --> Archiving Settings


Motasim's Blog
Decode .EXE to get intermediate language (IL)code and C# code using Visual Studio on OSX/MAC
Published: Jan 31, 2021
Generate EXE file using terminal on OSX/MAC
Published: Jan 31, 2021
Create console app using visual studio, dot net framework and c# on OSX/MAC
Published: Jan 31, 2021
Online study permit application's required documents for Canada
Published: April 30, 2021


stk.calculators.ga.mutators module¶
Defines mutators.
Mutators are objects which mutate molecules. They inherit
Mutator
and define a method mutate()
. This
method must take a single molecule and return a mutant.
Examples of how mutators work can be seen the documentation of
the various Mutator
classes, for example
RandomBuildingBlock
, SimilarBuildingBlock
or RandomMutation
.
Extending stk: Making new mutators.¶
Mutators must simple inherit the Mutator
class and define a
method called mutate()
, which take a single molecule
and returns a mutant molecule. There are no requirements besides this.
-
exception
stk.calculators.ga.mutators.
MutationError
¶ Bases:
Exception
Used for errors which occuring during mutation operations.
-
args
¶
-
with_traceback
()¶ Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.
-
-
class
stk.calculators.ga.mutators.
Mutator
¶ Bases:
object
Creates mutants.
-
class
stk.calculators.ga.mutators.
RandomBuildingBlock
(building_blocks, key, duplicate_building_blocks=False)¶ Bases:
stk.calculators.ga.mutators.Mutator
Substitutes random building blocks.
This mutator takes a
MacroMolecule
and substitutes the building blocks with one chosen at random from a given set.-
building_blocks
¶ A group of molecules which are used to replace building blocks in molecules being mutated.
Type: list
ofStructUnit
-
key
¶ A function which takes a
StructUnit
and returnsTrue
orFalse
. This function is applied to every building block of the molecule being mutated. Building blocks which returnedTrue
are liable for substition by one of the molecules inbuilding_blocks
.Type: function
-
duplicate_building_blocks
¶ Indicates whether the building blocks used to construct the mutant must all be unique.
Type: bool
Examples
# Create a molecule which is to be mutated. bb1 = StructUnit2.smiles_init('NCCN', ['amine']) bb2 = StructUnit2.smiles_init('O=CCC=O', ['aldehyde']) polymer = Polymer([bb1, bb2], Linear('AB', [0, 0], n=3)) # Create molecules used to substitute building blocks. building_blocks = [ StructUnit2.smiles_init('NC[Si]CCN', ['amine']), StructUnit2.smiles_init('NCCCCCCCN', ['amine']), StructUnit2.smiles_init('NC1CCCCC1N', ['amine']) ] # Create the mutator. random_bb = RandomBuildingBlock( building_blocks=building_blocks, key=lambda mol: mol.func_group_infos[0].name == 'amine' ) # Mutate a molecule. mutant1 = random_bb.mutate(polymer) # Mutate the molecule a second time. mutant2 = random_bb.mutate(polymer) # Mutate a mutant. mutant3 = random_bb.mutate(mutant1)
-
mutate
(mol)¶ Substitute a building block at random.
Parameters: macro_mol ( MacroMolecule
) – The molecule which is to have its building block substituted.Returns: The produced mutant. Return type: MacroMolecule
-
-
class
stk.calculators.ga.mutators.
RandomMutation
(*mutators, weights=None)¶ Bases:
stk.calculators.ga.mutators.Mutator
Uses a random
Mutator
to carry out mutations.-
weights
¶ The probability that each
Mutator
will be selected to carry out a mutation.Type: list
offloat
Examples
# Create a molecule which is to be mutated. bb1 = StructUnit2.smiles_init('NCCN', ['amine']) bb2 = StructUnit3.smiles_init('O=CCC(=O)CC=O', ['aldehyde']) cage = Cage([bb1, bb2], FourPlusSix()) # Create the first mutator. topologies = [ TwoPlusThree(), EightPlusTwelve(), Dodecahedron() ] random_topology = RandomTopology(topologies) # Create the second and third mutator. building_blocks = [ StructUnit2.smiles_init('NC[Si]CCN', ['amine']), StructUnit2.smiles_init('NCCCCCCCN', ['amine']), StructUnit2.smiles_init('NC1CCCCC1N', ['amine']) ] random_bb = RandomBuildingBlock( building_blocks=building_blocks, key=lambda mol: mol.func_group_infos[0].name == 'amine' ) similar_bb = SimilarBuildingBlock( building_blocks=building_blocks, key=lambda mol: mol.func_group_infos[0].name == 'amine' ) # Create the mutator used to carry out the mutations. random_mutator = RandomMutation(random_topology, random_bb, similar_bb) # Mutate a molecule, one of random_topology, # random_bb or similar_bb will be used. mutant1 = random_mutator.mutate(cage) # Mutate the molecule a second time, one of random_topology, # random_bb or similar_bb will be used. mutant2 = random_mutator.mutate(cage) # Mutate a mutant, one of random_topology, # random_bb or similar_bb will be used. mutant3 = random_mutator.mutate(mutant1)
-
-
class
stk.calculators.ga.mutators.
RandomTopology
(topologies)¶ Bases:
stk.calculators.ga.mutators.Mutator
Changes topologies at random.
Parameters: topologies ( list
ofTopology
) – Thislist
holds the topology instances from which one is selected at random to form a mutant.Examples
# Create a molecule which is to be mutated. bb1 = StructUnit2.smiles_init('NCCN', ['amine']) bb2 = StructUnit3.smiles_init('O=CCC(=O)CC=O', ['aldehyde']) cage = Cage([bb1, bb2], FourPlusSix()) # Create topologies used for substition. topologies = [ TwoPlusThree(), EightPlusTwelve(), Dodecahedron() ] # Create the mutator. random_topology = RandomTopology(topologies) # Mutate a molecule. mutant1 = random_topology.mutate(cage) # Mutate the molecule a second time. mutant2 = random_topology.mutate(cage) # Mutate a mutant. mutant3 = random_topology.mutate(mutant1)
-
mutate
(mol)¶ Substitute a random topology.
Parameters: mol ( MacroMolecule
) – The molecule which is to have its topology substituted.Returns: The produced mutant. Return type: MacroMolecule
-
-
class
stk.calculators.ga.mutators.
SimilarBuildingBlock
(building_blocks, key, duplicate_building_blocks)¶ Bases:
stk.calculators.ga.mutators.Mutator
Substitutes similar building blocks.
This mutator takes a
MacroMolecule
and substitutes the building blocks with the most similar one from a given set.-
building_blocks
¶ A group of molecules which are used to replace building blocks in molecules being mutated.
Type: list
ofStructUnit
-
key
¶ A function which takes a
StructUnit
and returnsTrue
orFalse
. This function is applied to every building block of the molecule being mutated. Building blocks which returnedTrue
are liable for substition by one of the molecules inbuilding_blocks
.Type: function
-
duplicate_building_blocks
¶ Indicates whether the building blocks used to construct the mutant must all be unique.
Type: bool
-
_similar_bbs
¶ Maps a
MacroMolecule
to multipleiterator
, each of which yields the most similar molecules inbuilding_blocks
, in order.Type: dict
Examples
# Create a molecule which is to be mutated. bb1 = StructUnit2.smiles_init('NCCN', ['amine']) bb2 = StructUnit2.smiles_init('O=CCC=O', ['aldehyde']) polymer = Polymer([bb1, bb2], Linear('AB', [0, 0], n=3)) # Create molecules used to substitute building blocks. building_blocks = [ StructUnit2.smiles_init('NC[Si]CCN', ['amine']), StructUnit2.smiles_init('NCCCCCCCN', ['amine']), StructUnit2.smiles_init('NC1CCCCC1N', ['amine']) ] # Create the mutator. similar_bb = SimilarBuildingBlock( building_blocks=building_blocks, key=lambda mol: mol.func_group_infos[0].name == 'amine' ) # Mutate a molecule. mutant1 = random_bb.mutate(polymer) # Mutate the molecule a second time. mutant2 = random_bb.mutate(polymer) # Mutate a mutant. mutant3 = random_bb.mutate(mutant1)
-
mutate
(mol)¶ Substitute a similar building block.
Parameters: macro_mol ( MacroMolecule
) – The molecule which is to have its building block substituted.Returns: The produced mutant. Return type: MacroMolecule
-


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Star Wars IX
While the First Order continues to ravage the galaxy, Rey finalizes her training as a Jedi. But danger suddenly rises from the ashes as the evil Emperor Palpatine mysteriously returns from the dead. While working with Finn and Poe Dameron to fulfill a new mission, Rey will not only face Kylo Ren once more, but she will also finally discover the truth about her parents as well as a deadly secret that could determine her future and the fate of the ultimate final showdown that is to come
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Chromatin Dynamics provides a user friendly way to create individual 'beads-on-a-string' like representations of a chromatin fiber. The user decides the sequence of the linker DNA and where the nucleosomes are inserted which gives the user full control over designing his own individual chromatin fiber.
There are two possibilities to use Chromatin Dynamics:
In "Chromatin Dynamics from sequence and nucleosome positions" the user provides his own sequence and nucleosome position file. The option 'Create Structure' creates a ground state structure of the chromatin conformation. 'Create Trajectory' creates a trajectory of possible chromatin conformations. This option is recommended if average properties of the fiber want to be obtained. Note: A trajectory can only be created if the ground state structure does not physically overlap.
"Chromatin Dynamics from NucleR" creates a ground state structure of a selected genomic region based on the nucleosome positions determined by NucleR of the Nucleosome Dynamics workflow.


News story
Education Secretary Nicky Morgan today confirmed the appointment of 3 new non-executive Ofsted board members.
Richard Atkins, John Cridland and Venessa Willms have been appointed to serve on the Ofsted Board for 3 years.
Education Secretary Nicky Morgan said:
I welcome the appointment of 3 new board members, who will use their wide-ranging experience to further improve education and care for young people.
The Chair of the Ofsted Board, David Hoare, said:
I am delighted to be welcoming Richard Atkins, John Cridland and Venessa Willms as our new non-executive board members. Together they offer a broad range of skills and experience and will ensure the board better reflects each of the different remits of Ofsted.
Biography details of new board members:
Richard Atkins recently retired from Exeter College, where he was Principal and Chief Executive of an ‘outstanding’ college. He was previously at Yeovil College and has held various teaching and leadership roles within further education.
John Cridland was Director-General of the CBI and is a former UK Commissioner for Employment and Skills. He is currently Chair of Transport for the North, the statutory body responsible for the transport investment case in the Northern powerhouse.
Venessa Willms is currently Director of Primary at Ark where she has responsibility for 23 schools across 4 different regions. She is a former Principal at King Solomon Academy in London and has significant experience in primary and early years education.
Ofsted’s board is chaired by David Hoare, who was appointed in July 2014. Linda Farrant, John Hughes, James Kempton and Paul Snell are already members of the board along with HM Chief Inspector. John Roberts will retire as a board member on 31 July 2016.
1) The appointments were conducted and agreed in accordance with the Code of Practice issued by the Office of the Commissioner for Public Appointments ( OCPA ) and were made on merit; political activity played no part in the decision-making process. However, in accordance with the original Nolan recommendations and the code of practice, there is a requirement for appointees’ political activity (if any declared) and other information, to be made public.
2) The details of the application process and job description were published online and the essential criteria were:
The desirable criteria were:
3) The roles are remunerated at £8,282 per annum, based on 20 days’ work.
4) None of the candidates have declared any political activity.
Published: 7 July 2016


Warehouse Keeper Sorint:
Ah, the Demon's Stockings. Bring me these coins and I'll give you a pair.
1 Manak's Silver Dryad
1 Silver Dryad
Trade
Back to the list of prize items


Primary school students melt hearts as they visit their friend at the hospital (photo)
- A group of young school boys have melted hearts on social media
- In a post shared on Facebook, a man wrote about the touching thing the young students did
- The young boys had assembled at the hospital to visit their friend who was involved in a bike accident
Many people often say that the hearts of children are pure until society contaminates it. Well, that seems to be the case of a group of young boys whose touching gesture has melted hearts on social media.
A Nigerian man identified as Shariff Yeng on Facebook took to the social media application to share the heart-melting thing the young boys did for their friend.
According to Yeng, the young pupils had assembled at the hospital to visit their school friend who had been involved in a bike accident.
Yeng wrote: “I came across these boys discussing stuff and laughing all around at the hospital-TTH. I asked what happened and I was told the boy in Red was knocked down by a motorbike on his way to school. So his friends took permission from school to come see him and have a moment with their friend. It was just so beautiful and it showed me what friendship should be”
Heartwarming photo of Davido and newborn son Ifeanyi Adeleke taking a nap
The impressed man made sure to take a photo of the boys surrounding their friend as they tried to cheer him up. See a screenshot of Yeng’s post below:
This is a very touching and commendable gesture from the boys.
In other news, Legit.ng reported that a father took to social media via Twitter to share the funny Christmas list his 10-year-old daughter presented to him.
The list included things like an iPhone 11, a Macbook Air, Airpods, a real bunny, Gucci slides, jewelleries, 4000 dollars, vans sneakers and more.
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Junior Science Olympiad: We will return with gold medal - Nigerian students | Legit TV


prefix_attach_mem - creates PREFIX protocol on top of underlying socket
#include <libdill.h>
int prefix_attach_mem(
int s,
size_t hdrlen,
int flags,
struct prefix_storage* mem);
PREFIX is a message-based protocol to send binary messages prefixed by size. The protocol has no initial handshake. Terminal handshake is accomplished by each peer sending size field filled by 0xff bytes.
This function instantiates PREFIX protocol on top of the underlying protocol.
This function allows to avoid one dynamic memory allocation by storing the object in user-supplied memory. Unless you are hyper-optimizing use prefix_attach instead.
s: Handle of the underlying socket. It must be a bytestream protocol.
hdrlen: Size of the length field, in bytes.
flags: If set to PREFIX_BIG_ENDIAN (also known as network byte order, the default option) the most significant byte of the size will be sent first on the wire. If set to PREFIX_LITTLE_ENDIAN the least signiticant byte will come first.
mem: The structure to store the newly created object in. It must not be deallocated before the object is closed.
The socket can be cleanly shut down using prefix_detach function.
This function is not available if libdill is compiled with --disable-sockets option.
In case of success the function returns newly created socket handle. In case of error it returns -1 and sets errno to one of the values below.
int s = tcp_connect(&addr, -1);
s = prefix_attach(s, 2, 0);
msend(s, "ABC", 3, -1);
char buf[256];
ssize_t sz = mrecv(s, buf, sizeof(buf), -1);
s = prefix_detach(s, -1);
tcp_close(s);
hclose(3) mrecv(3) mrecvl(3) msend(3) msendl(3) prefix_attach(3) prefix_detach(3)


|
Mister Spex
1.0
The project Mister Spex is a funny tool to capture images and display them with overlays such as glasses or big red lips over the normal human face. All images can be saved or recorded. Within this software you have three different mode to get the images (LiveView via webcam, Static image and a playback of a recorded video).
|
Image handler class. More...
#include <ImageHandler.h>
Public Member Functions | |
| ImageHandler () | |
| Class constructor which creates a new handler. | |
| ~ImageHandler () | |
| Class destructor. | |
| QPixmap | loadImageFromFile (QString, struct ImageProcessingSettings, struct ImageProcessingFlags, bool) |
| Function to load a single image from a file. More... | |
| QPixmap | applyChangesToImageProc (struct ImageProcessingSettings, struct ImageProcessingFlags) |
| Function to apply changes on the selected image. More... | |
| bool | saveImageToFile (QString, QString) |
| Function to save the display image to file. More... | |
Private Attributes | |
| FaceDetection * | faceDetection |
| FaceDetection. More... | |
| Mat | image |
| Mat (OpenCV image format). More... | |
| Mat | orig_image |
| Mat (OpenCV image format). More... | |
Image handler class.
Class to handle static images for the software.
| QPixmap ImageHandler::applyChangesToImageProc | ( | struct ImageProcessingSettings | imgProcSettings, |
| struct ImageProcessingFlags | drawFlags | ||
| ) |
Function to apply changes on the selected image.
| imgProcSettings | an ImageProcessingSettings struct which contains the settings for the area which should be detected |
| drawFlags | an ImageProcessingFlags struct which contains bool values about overlay showing and detection drawing |
| QPixmap ImageHandler::loadImageFromFile | ( | QString | fn, |
| struct ImageProcessingSettings | imgProcSettings, | ||
| struct ImageProcessingFlags | drawFlags, | ||
| bool | imageDetection | ||
| ) |
Function to load a single image from a file.
| fn | a QString argument which contains the name of the file to load. |
| imgProcSettings | an ImageProcessingSettings struct which contains the settings for the area which should be detected |
| drawFlags | an ImageProcessingFlags struct which contains bool values about overlay showing and detection drawing |
| imageDetection | a boolean value to say if image detection should be done. |
| bool ImageHandler::saveImageToFile | ( | QString | fn, |
| QString | dir | ||
| ) |
Function to save the display image to file.
| fn | a QString argument which contains the name to save the image. |
| dir | a QString argument which contains the directory name where the file should be saved. |
|
private |
Pointer to instance of FaceDetection class.
|
private |
Mat (OpenCV image format).
Image which will be display in the main window after conversion.
|
private |
Mat (OpenCV image format).
Original image.


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Comedy - Misc
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Screen Junkies - Misc
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Film - Making Of
Film - Special Effects
Film - Visual Effects
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Cooking - Misc
Cooking - Breakfast
Cooking - Dessert
Cooking - Dessert - Brownie
Cooking - Dessert - Cake
Cooking - Dessert - Cookie
Cooking - Dessert - Cupcake
Cooking - Dessert - Ice Cream
Cooking - Dessert - Technique
Cooking - Grill
Cooking - Meat
Cooking - Meat - Burger
Cooking - Meat - Poultry
Cooking - Meat - Steak
Cooking - Technique
Cooking - TV Show
Video Game - Misc
Video Game Design
The Last of Us
Uncharted 4: A Thief's End
Magic/Illusions
Magic Tutorials
Motorcycle
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Woodworking - New Yankee Workshop
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Sailing
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Batman
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Power Rangers
Music
Cartoon Episodes
Spotify Playlist
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Reddit
IMDB
Game Informer
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Steam
PlayStation Trophies
Amazon Wishlist


{% extends 'base.html'%} {%block title%}About the Author{%endblock%} {% block content %}
I'm pursuing the MS in Gov Analytics after being a enthusiastic early technology adopter for decades. I thought it was finally time to get smarter about what makes the background compute happen. I also want to be able to contribute to the quick revolution in the ability to take descriptive analytics to the next level. The contributions of computing power and speed is allowing us to get answers to our business challenges based in data. I currently reside in Wash DC to support the Defense of Department CIO's efforts to create a data analytic environment where insights can make business processes more efficient thereby saving tax payer dollars.
Personally I'm interested in the future of environmental sustainability initiatives. I want to live in the space between original ideas, the branding that makes them executable, and the technology makes them come to life.


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