|
205 Water Street Dumbo, New York 11201 |
646.928.0781<EMAIL_ADDRESS>artfrankly.com |
| Overview |
Founded in 2015 and launched in June 2016, Art Frankly is
the online platform for the art world to find and post jobs, list
spaces and discover other opportunities while building a professional presence.
Art Frankly is the most democratic jobs and resources database for the art world today. Whether users are interested in finding a new position, curious about an applicant’s experience, or seeking studio or commercial space. Art Frankly serves artists, curators, researchers, gallerists, students, and creative professionals in one place. With its tailored interface, Art Frankly is poised to be the leading art world recruitment resource. |
|
| Leadership and Support |
Karline Moeller and Josie Hines are the New York born and
raised co-founders. Moeller, CEO and co-founder, manages
client development and marketing strategy. She has worked
for the Cy Twombly Foundation, Mana Fine Arts and has run
her own gallery. Josie Hines, COO and co-founder oversees
the platform development, finances, legal and operations.
Hines previously worked at the World Economic Forum and
has extensive experience in project management, mainly in
media and entertainment. He holds an MBA from IESE
Business School.
Art Frankly has 16 employees and consultants based in the U.S. and Europe and the team is always growing. |
|
| Social Media |
Instagram |
|
| Headquarters |
Art Frankly’s headquarters are in Brooklyn, New York with an
outpost in Berlin, Germany.
|
|
| Media Contact |
For more information on Art Frankly, media may contact:
Vyoma Venkataraman Blue Medium +1-212-675-1800<EMAIL_ADDRESS>|


I use it to load image for diferent screen resolution.
inlude acLazyLoadImage.js file after jquery

after this execute script
$( ".img_lazy" ).ImgLazyLoad();
for one image

data-src attributes is required
few resources

img tag
you can use on image element

or

$( ".img_lazy" ).ImgLazyLoad({
mobile: "640",
qhd:"1680",
offset:"-150",
time:"250"
});
MIT and I will be happy if it will be useful :)


|
orx
1.x dev
Portable Game Engine
|
#include <orxPhysics.h>
Data Fields | |
| union { | |
| struct { | |
| orxAABOX stBox | |
| } stAABox | |
| struct { | |
| orxVECTOR * avVertices | |
| orxBOOL bHasNext | |
| orxBOOL bHasPrevious | |
| orxBOOL bIsLoop | |
| orxU32 u32VertexCount | |
| orxVECTOR vNext | |
| orxVECTOR vPrevious | |
| } stChain | |
| struct { | |
| orxVECTOR avVertices [2] | |
| orxBOOL bHasNext | |
| orxBOOL bHasPrevious | |
| orxVECTOR vNext | |
| orxVECTOR vPrevious | |
| } stEdge | |
| struct { | |
| orxVECTOR avVertices [orxBODY_PART_DEF_KU32_MESH_VERTEX_NUMBER] | |
| orxU32 u32VertexCount | |
| } stMesh | |
| struct { | |
| orxFLOAT fRadius | |
| orxVECTOR vCenter | |
| } stSphere | |
| }; | |
| orxFLOAT | fDensity |
| orxFLOAT | fFriction |
| orxFLOAT | fRestitution |
| orxU16 | u16CheckMask |
| orxU16 | u16SelfFlags |
| orxU32 | u32Flags |
| orxVECTOR | vScale |
Part definition
Definition at line 126 of file orxPhysics.h.
| union { ... } |
Part : 132
| orxVECTOR orxBODY_PART_DEF::avVertices[2] |
| orxVECTOR* orxBODY_PART_DEF::avVertices |
Chain vertices : 60
Definition at line 170 of file orxPhysics.h.
| orxBOOL orxBODY_PART_DEF::bHasNext |
| orxBOOL orxBODY_PART_DEF::bHasPrevious |
| orxBOOL orxBODY_PART_DEF::bIsLoop |
Loop chain : 68
Definition at line 172 of file orxPhysics.h.
| orxFLOAT orxBODY_PART_DEF::fDensity |
Density : 24
Definition at line 131 of file orxPhysics.h.
| orxFLOAT orxBODY_PART_DEF::fFriction |
Friction : 16
Definition at line 129 of file orxPhysics.h.
| orxFLOAT orxBODY_PART_DEF::fRadius |
Sphere radius : 48
Definition at line 141 of file orxPhysics.h.
| orxFLOAT orxBODY_PART_DEF::fRestitution |
Restitution : 20
Definition at line 130 of file orxPhysics.h.
| struct { ... } orxBODY_PART_DEF::stAABox |
Box : 56
| orxAABOX orxBODY_PART_DEF::stBox |
Axis aligned Box : 56
Definition at line 146 of file orxPhysics.h.
| struct { ... } orxBODY_PART_DEF::stChain |
| struct { ... } orxBODY_PART_DEF::stEdge |
| struct { ... } orxBODY_PART_DEF::stMesh |
| struct { ... } orxBODY_PART_DEF::stSphere |
Sphere : 48
| orxU16 orxBODY_PART_DEF::u16CheckMask |
Check mask : 28
Definition at line 133 of file orxPhysics.h.
| orxU16 orxBODY_PART_DEF::u16SelfFlags |
Self defining flags : 26
Definition at line 132 of file orxPhysics.h.
| orxU32 orxBODY_PART_DEF::u32Flags |
Control flags : 32
Definition at line 134 of file orxPhysics.h.
| orxU32 orxBODY_PART_DEF::u32VertexCount |
| orxVECTOR orxBODY_PART_DEF::vCenter |
Sphere center : 44
Definition at line 140 of file orxPhysics.h.
| orxVECTOR orxBODY_PART_DEF::vNext |
Next vertex (ghost) : 80
Chain Next vertex (ghost) : 56
Definition at line 160 of file orxPhysics.h.
| orxVECTOR orxBODY_PART_DEF::vPrevious |
Previous vertex (ghost) : 68
Chain Previous vertex (ghost) : 44
Definition at line 159 of file orxPhysics.h.
| orxVECTOR orxBODY_PART_DEF::vScale |
Scale : 12
Definition at line 128 of file orxPhysics.h.


All The Children
No 536, LIG - II, TNHB Colony, 1st Avenue
Velachery, Chennai - 600042
Mobile:<PHONE_NUMBER>,
Landline:<PHONE_NUMBER>0,
Website: www.allthechildren.in
All The Children
No 39/40, Palla 2nd Street
Vyasarpadi, Chennai - 600039
Mobile:<PHONE_NUMBER>,
Landline:<PHONE_NUMBER>0,
Website: www.allthechildren.in
Regd.No 255/2015
PAN No AAFTA0991F
12AA - Reg.No.Income Tax
URNo.AAFTA0991F/05/16-17/T-0348
JJ Act Reg No:1082/DSD/2017(Dated on 28/11/2017)
RECEIPT U/S 80G OF IT-ACT
DONATION RECEIPT
Receipt No:
{{ data.reciptId }}
Date:
{{ currentDate | date: 'dd MMM yyyy'}}
Received with Thanks from: {{ data.name }}
Address:
{{ data.address }},
{{data.address1}},
{{data.pincode}}
Mobile No:
{{ data.mobile }}
/ {{data.phone2}}
Sum of Rupees: {{ data.amount }}
(Rupees {{ data.amountWords }} only)
Mode of Payment:
{{ data.payment_mode }}
Bank / Branch Name:
{{ data.bank }}
/ {{ data.branch }}
Donated Date:
{{ data.donatedDate }}
Note:
All Donations are exempted u/s 80G of the Income Tax Act. 1961
For All The Children
Authorized Signatory


Hafa Adai!
I'm
samfromguam
and I'm from ...Guam!
My github profile is
github.com/samfromguam
. Let's be friends!


{% extends "layout.html" %} {% block page_title %} GOV.UK PDE - Referred {% endblock %} {% block content %} {% include "includes/secondary_nav.html" %} We couldn’t match the applicant’s details You can check their details again or do another check. {% endblock %}
You can check their details again or do another check.


I just updated my Arduino from 1.0.5 (I think) to Arduino 1.6.0 for a non OEM project.
Now the "tester" sketch compiles OK, but both the HomeEnergyMonitor and Solar sketch do not compile. Do I need an 1.0.x version for compatibility, i.e. do I need to roll back the update or have I just messed up something? ..is anyone else using v. 1.6.0?
I get errors like:
"icons.ino:2:42: error: variable 'icon_heating_8x16' must be const in order to be put into read-only section by means of '__attribute__((progmem))'"
Some EmonGLCD sketches not compiling after udate to Arduino 1.6.0
Submitted by Lykke on Wed, 04/03/2015 - 22:33I just updated my Arduino from 1.0.5 (I think) to Arduino 1.6.0 for a non OEM project.
Now the "tester" sketch compiles OK, but both the HomeEnergyMonitor and Solar sketch do not compile. Do I need an 1.0.x version for compatibility, i.e. do I need to roll back the update or have I just messed up something? ..is anyone else using v. 1.6.0?
I get errors like:
"icons.ino:2:42: error: variable 'icon_heating_8x16' must be const in order to be put into read-only section by means of '__attribute__((progmem))'"
[Edit Lykke: Rollback to v. 1.06 solve problem]
[This is a double post - see http://openenergymonitor.org/emon/node/10254]
Edit - Fixed link - BT


News
-
March 16, 2016
TAAI 2016
The 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016) is the 21st annual conference sponsored by the Taiwanese Association for Artificial Intelligence (TAAI) and one of the most important annual academic meeti...


2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning Milbich*, T., Roth*, K., Sinha, S., Schmidt, L., Ghassemi, M., and Ommer, B. In Advances in Neural Information Processing Systems (NeurIPS) 2021 NeuRIPS arXiv Bib Code @inproceedings{milbich2020ooDML, title = {Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning}, author = {Milbich*, T. and Roth*, K. and Sinha, S. and Schmidt, L. and Ghassemi, M. and Ommer, B.}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, selected = {true}, arxiv = {2107.09562}, bibtex_show = {true}, abbr = {NeuRIPS}, code = {https://github.com/CompVis/Characterizing_Generalization_in_DML}, thumbnail = {/assets/img/neurips21_thumbnail.png} } S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning Roth, K., Milbich, T., Ommer, B., Cohen, J.P., and Ghassemi, M. International Conference on Machine Learning (ICML) 2021 ICML arXiv Bib Code @article{roth2021s2sd, title = {S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning}, author = {Roth, K. and Milbich, T. and Ommer, B. and Cohen, J.P. and Ghassemi, M.}, journal = {International Conference on Machine Learning (ICML)}, year = {2021}, selected = {false}, arxiv = {2009.08348}, bibtex_show = {true}, abbr = {ICML}, code = {https://github.com/MLforHealth/S2SD}, thumbnail = {/assets/img/icml21_thumbnail.png} } Visual Similarity and Representation Learning Milbich, T. Dissertation/PhD Thesis 2021 PhD Bib HTML @article{milbich2021phd, title = {Visual Similarity and Representation Learning}, author = {Milbich, T.}, journal = {Dissertation/PhD Thesis}, year = {2021}, selected = {false}, html = {https://archiv.ub.uni-heidelberg.de/volltextserver/30731/}, bibtex_show = {true}, abbr = {PhD}, thumbnail = {/assets/img/phd_thumbnail.png} } iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis Blattmann, A., Milbich, T., Dorkenwald, M., and Ommer, B. In International Conference on Computer Vision (ICCV) 2021 ICCV arXiv Bib Code Website @inproceedings{blattmann2021ipoke, title = {iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis}, author = {Blattmann, A. and Milbich, T. and Dorkenwald, M. and Ommer, B.}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021}, selected = {false}, arxiv = {2107.02790}, bibtex_show = {true}, abbr = {ICCV}, website = {https://compvis.github.io/ipoke}, code = {https://github.com/CompVis/ipoke}, thumbnail = {/assets/img/iccv21_thumbnail.png} } Understanding Object Dynamics for Interactive Image-to-Video Synthesis Blattmann, A., Milbich, T., Dorkenwald, M., and Ommer, B. In Conference on Computer Vision and Pattern Recognition (CVPR) 2021 CVPR arXiv Bib Code Website @inproceedings{blattmann2021objdyn, title = {Understanding Object Dynamics for Interactive Image-to-Video Synthesis}, author = {Blattmann, A. and Milbich, T. and Dorkenwald, M. and Ommer, B.}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, selected = {false}, arxiv = {2106.11303}, bibtex_show = {true}, abbr = {CVPR}, website = {https://compvis.github.io/interactive-image2video-synthesis/}, code = {https://github.com/CompVis/interactive-image2video-synthesis}, thumbnail = {/assets/img/cvpr21objdyn_thumbnail.png} } Stochastic Image-to-Video Synthesis using cINNs Dorkenwald, M., Milbich, T., Blattmann, A., Rombach, R., and Ommer, B. In Conference on Computer Vision and Pattern Recognition (CVPR) 2021 CVPR arXiv Bib Code @inproceedings{dorkenwald2021vidpred, title = {Stochastic Image-to-Video Synthesis using cINNs}, author = {Dorkenwald, M. and Milbich, T. and Blattmann, A. and Rombach, R. and Ommer, B.}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, selected = {false}, arxiv = {2105.04551}, bibtex_show = {true}, abbr = {CVPR}, code = {https://github.com/CompVis/image2video-synthesis-using-cINNs}, thumbnail = {/assets/img/cvpr21vidpred_thumbnail.png} } Behavior-Driven Synthesis of Human Dynamics Milbich*, T., Blattmann*, A., Dorkenwald*, M., and Ommer, B. In Conference on Computer Vision and Pattern Recognition (CVPR) 2021 CVPR arXiv Bib Code Website @inproceedings{milbich2021behavior, title = {Behavior-Driven Synthesis of Human Dynamics}, author = {Milbich*, T. and Blattmann*, A. and Dorkenwald*, M. and Ommer, B.}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, selected = {true}, arxiv = {2103.04677}, bibtex_show = {true}, abbr = {CVPR}, website = {https://compvis.github.io/behavior-driven-video-synthesis/}, code = {https://github.com/CompVis/behavior-driven-video-synthesis}, thumbnail = {/assets/img/cvpr21behav_thumbnail.png} } 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Milbich*, T., Roth*, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. P. In European Conference on Computer Vision (ECCV) 2020 ECCV arXiv Bib Code @inproceedings{milbich2020diva, abbr = {ECCV}, title = {DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning}, author = {Milbich*, T. and Roth*, K. and Bharadhwaj, H. and Sinha, S. and Bengio, Y. and Ommer, B. and Cohen, J. P.}, year = {2020}, booktitle = {European Conference on Computer Vision (ECCV)}, selected = {true}, bibtex_show = {true}, arxiv = {2004.13458}, thumbnail = {/assets/img/eccv21_thumbnail.png}, code = {https://github.com/Confusezius/ECCV2020_DiVA_MultiFeature_DML} } Sharing Matters for Generalization in Deep Metric Learning Milbich*, T., Roth*, K., Brattoli, B., and Ommer, B. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020 TPAMI arXiv Bib HTML @article{milbich2020sharing, abbr = {TPAMI}, title = {Sharing Matters for Generalization in Deep Metric Learning}, author = {Milbich*, T. and Roth*, K. and Brattoli, B. and Ommer, B.}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, year = {2020}, publisher = {IEEE}, selected = {true}, arxiv = {2004.05582}, html = {https://www.computer.org/csdl/journal/tp/5555/01/09141449/1lu2CexRydG}, bibtex_show = {true}, thumbnail = {/assets/img/tpami22_thumbnail.png} } PADS: Policy-Adapted Sampling for Visual Similarity Learning Roth*, K., Milbich*, T., and Ommer, B. In Conference on Computer Vision and Pattern Recognition (CVPR) 2020 CVPR arXiv Bib Code @inproceedings{pads_mining20, author = {Roth*, K. and Milbich*, T. and Ommer, B.}, title = {PADS: Policy-Adapted Sampling for Visual Similarity Learning}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, selected = {false}, arxiv = {2003.11113}, bibtex_show = {true}, abbr = {CVPR}, code = {https://github.com/Confusezius/CVPR2020_PADS}, thumbnail = {/assets/img/cvpr20_thumbnail.png} } Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Roth*, K., Milbich*, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. P. In International Conference on Machine Learning (ICML) 2020 ICML arXiv Bib Code @inproceedings{roth2020revisiting, title = {Revisiting Training Strategies and Generalization Performance in Deep Metric Learning}, author = {Roth*, K. and Milbich*, T. and Sinha, S. and Gupta, P. and Ommer, B. and Cohen, J. P.}, year = {2020}, booktitle = {International Conference on Machine Learning (ICML)}, selected = {true}, arxiv = {2002.08473}, bibtex_show = {true}, abbr = {ICML}, code = {https://github.com/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch}, thumbnail = {/assets/img/icml20_thumbnail.png} } Unsupervised Representation Learning by Discovering Reliable Image Relations Milbich*, T., Ghori*, O., and F. Diego, B. Ommer Pattern Recognition (PR) Jun 2020 PR arXiv Bib @article{milbich2020reliable, title = {Unsupervised Representation Learning by Discovering Reliable Image Relations}, author = {Milbich*, T. and Ghori*, O. and F. Diego, B. Ommer}, journal = {Pattern Recognition (PR)}, volume = {102}, publisher = {Elsevier}, month = jun, year = {2020}, selected = {false}, arxiv = {1911.07808}, bibtex_show = {true}, abbr = {PR}, thumbnail = {/assets/img/pr20_thumbnail.png} } 2019 Unsupervised Part-based Disentangling of Object Shape and Appearance Lorenz, D., Bereska, L., Milbich, T., and Ommer, B. In Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2019 CVPR arXiv Bib Code Website @inproceedings{cvpr19_unsup_disentangle, title = {Unsupervised Part-based Disentangling of Object Shape and Appearance}, author = {Lorenz, D. and Bereska, L. and Milbich, T. and Ommer, B.}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, selected = {true}, arxiv = {1903.06946}, bibtex_show = {true}, abbr = {CVPR}, website = {https://compvis.github.io/unsupervised-disentangling/}, code = {https://github.com/CompVis/unsupervised-disentangling}, thumbnail = {/assets/img/cvpr19_thumbnail.png} } 2018 Towards Learning a Realistic Rendering of Human Behavior Esser*, P., Haux*, J., Milbich*, T., and Ommer, B. In European Conference on Computer Vision (ECCV); Human Behavior Understanding Workshop Jun 2018 ECCV-WS Bib HTML @inproceedings{hbugen2018, title = {Towards Learning a Realistic Rendering of Human Behavior}, author = {Esser*, P. and Haux*, J. and Milbich*, T. and Ommer, B.}, booktitle = {European Conference on Computer Vision (ECCV); Human Behavior Understanding Workshop}, year = {2018}, selected = {false}, html = {https://openaccess.thecvf.com/content_ECCVW_2018/papers/11130/Esser_Towards_Learning_a_Realistic_Rendering_of_Human_Behavior_ECCVW_2018_paper.pdf}, bibtex_show = {true}, abbr = {ECCV-WS}, thumbnail = {/assets/img/hbugen18_thumbnail.png} } 2017 Unsupervised Video Understanding by Reconciliation of Posture Similarities Milbich, T., Bautista, M., Sutter, E., and Ommer, B. In International Conference on Computer Vision Jun 2017 ICCV arXiv Bib @inproceedings{iccv17_unsup_video, title = {Unsupervised Video Understanding by Reconciliation of Posture Similarities}, author = {Milbich, T. and Bautista, M. and Sutter, E. and Ommer, B.}, booktitle = {International Conference on Computer Vision}, year = {2017}, selected = {true}, arxiv = {1708.01191}, bibtex_show = {true}, abbr = {ICCV}, thumbnail = {/assets/img/iccv17_thumbnail.png} } 2013 Less is more: Video trimming for action recognition Antic, B., Milbich, T., and Ommer, B. In International Conference on Computer Vision Workshops Jun 2013 ICCV-WS Bib HTML @inproceedings{eccv13_less_is_more, title = {Less is more: Video trimming for action recognition}, author = {Antic, B. and Milbich, T. and Ommer, B.}, booktitle = {International Conference on Computer Vision Workshops}, year = {2013}, selected = {false}, html = {https://ieeexplore.ieee.org/abstract/document/6755940}, bibtex_show = {true}, abbr = {ICCV-WS}, thumbnail = {/assets/img/eccv13_thumbnail.png} } 2012 May I enter the roundabout? A time-to-contact computation based on stereo-vision Muffert, M., Milbich, T., Pfeiffer, D., and Franke, U. In IEEE Intelligent Vehicles Symposium Jun 2012 IV Bib HTML @inproceedings{iv12_roundabout, title = {May I enter the roundabout? A time-to-contact computation based on stereo-vision}, author = {Muffert, M. and Milbich, T. and Pfeiffer, D. and Franke, U.}, booktitle = {IEEE Intelligent Vehicles Symposium}, year = {2012}, selected = {false}, html = {https://ieeexplore.ieee.org/document/6232178}, bibtex_show = {true}, abbr = {IV}, thumbnail = {/assets/img/iv12_thumbnail.png} }


tfrecord_dataset.tfrecords module¶
- tfrecord_dataset.tfrecords.load_dataset_from_files(file_paths, data_shape, data_type=<class 'numpy.float32'>, label_type=<class 'int'>)¶
Loads a tensorflow dataset from a list of *.tfrecord files with serialized examples. This function is the counterpart for write_dataset_to_file() (see above) and its only valid for TFRecords that follow the serialization format of that function (two fixed length features, ‘data’ (with shape = data_shape) and ‘label’ (scalar value)).
- Parameters
file_paths (list[str]) – List of paths to the *.tfrecord files that contain the serialized examples.
data_shape (tuple[int]) – Original shape of the example data. Since they are serialized, this metadata is needed to reconstruct the tensor.
data_type (type) – Type of each data point in the example or the example itself if it is bytes or str, before serialization. It is needed to parse the example. Optional, default: np.float32
label_type (type) – Type of the label (if any). If there is no label, this must be specified by setting this parameter to None. Optional, default: int.
- Returns
Tensorflow dataset of parsed examples (as tuples of tensors with example data and optionally a label).
- Return type
tf.data.Dataset
- tfrecord_dataset.tfrecords.npy_data_preprocessor(example_path)¶
Loads and preprocesses an example, given its path. The example must be a *.npy file that contains an array that can (and will) be casted to float32. It also returns the data type and the shape before flattening the array, to allow serialization and later reconstruction, and a string to serve as example identifier (e.g. the file name).
- Parameters
example_path (str) – Path to the *.npy file.
- Returns
Flattened numpy array of type np.float32 (it must be compatible with a list of float), data type (to allow for serialization and later parsing), data shape before flattening (to allow for unflattening), and example ID.
- Return type
tuple[numpy.ndarray, type, tuple[int], str]
- tfrecord_dataset.tfrecords.write_dataset_to_file(dataset, file_path, data_preprocessing_function=<function npy_data_preprocessor>)¶
Writes a dataset to a file in TFRecord format. The dataset must be an array with one row per example and at least one column with the file path to each example data, and one optional column for its label. The data for each example is read and saved serialized into the TFRecord file along with its label (if any).
- Parameters
dataset (numpy.ndarray) – Input dataset array.
file_path (str) – Path where the output file will be placed. It shall have *.tfrecord extension.
data_preprocessing_function ((str) -> tuple[Union[bytes, list[float], list[int]], type, tuple[int], str]) – Function to be applied on the first column of each example (file path), which is supposed to load the example data and perform any additional preprocessing. It must return the data in any of the supported formats for serialization (bytes or list of numbers), along with the data type (after loading and preprocessing) and the original data shape (after loading and preprocessing but before flattening). It will also return an example ID, used to identify the example (for instance, the original file name). This ID is not used internally but it is useful for further usages of the dataset. Optional, default: npy_data_preprocessor (see above).
- Raises
ValueError – If the label type conversion is not possible.
OSError – If there is a problem reading the example data from the file path.


ES6 classes are a simple sugar over the prototype-based OO pattern. Having a single convenient declarative form makes class patterns easier to use, and encourages interoperability. Classes support prototype-based inheritance, super calls, instance & static methods, and constructors.
Open your browser's console to view the output of this code.
var alice;
var bob;
class Person {
constructor(name, age) {
this.name = name;
this.age = age;
}
printName() {
return this.name;
}
printAge() {
return this.age;
}
}
class Child extends Person {
constructor(name, age) {
super(name, age);
}
printName() {
return super.printName().toUpperCase();
}
}
alice = new Person('Alice', 27);
console.log(alice.printName());
console.log(alice.printAge());
bob = new Child('Bob', 7);
console.log(bob.printName());


The end all solution for avatar cropping functionality in React.js
React Avatar Cropper aims to be an out of the box solution to solve the avatar cropping problem for 99% of common use cases. Most of the time you want a modal to pop up, allow the user to crop their uploaded image, and then you want to receive that base64 data to display and send to the server. React Avatar Cropper takes care of this use case.
Taking heavy inspiration from slack's and facebook's user photo cropper, react-avatar-cropper is here to make it easy.
Try it out
In your project
npm install --save react-avatar-cropper
react-avatar-cropper also depends on
react
obviously :)
and react-bootstrap
for modal functionality. To install
run the following.
npm install --save react
npm install --save react-bootstrap
Now that you have it installed, make sure you have the bootstrap javascript and css loaded, and require it into into your javascript to start building components with it :)
For ES6import AvatarCropper from "react-avatar-cropper";
For ES5
var AvatarCropper = require("react-avatar-cropper");
Usage is fairly simple, you can check the /example
folder on github for a slightly more complex use case
(the use case you see above in the demo). AvatarCropper simple takes
a width
and a height
to determine what size
avatar you would like. AvatarCropper then takes an image
property where you can pass an external image, a user uploaded data URI
or whatever you would like. An onRequestHide
function is
passed to the underlying modal so you can decide how to dismiss the modal.
Lastly onCrop
callback function is required, and gives you
back the cropped Image, for you to do with as you wish.
render: function() {
return (
<AvatarCropper
onRequestHide={this.handleRequestHide}
onCrop={this.handleCrop}
image={this.state.img}
width={400}
height={400}
/>
);
}
Feel free to fork and pull request for anything you would like. Contributions are greatly appreciated. There are a few main long term goals I would like to put out there to solidify the overall direction of the project.
react-bootstrap
as a dependency.


Support
HTTP Error 500 - Internal server error
A server side exception occurred while processing this request, check the log for more information


Description
A security library for MS Windows that allows you to open existing or
create new security identifiers (SID's).
Synopsis
require 'win32/security'
include Win32
sid = Security::SID.open('some_user')
sid.valid? # => true
sid.to_s # => "S-1-5-21-3733855671-1102023144-2002619019-1000"
sid.length # => 28
sid.sid # => "\001\005\000\000\000\000\000\005\025\000\000\000..."
Future Plans
Create classes that encapsulate ACL's, ACE's, Token's, etc.
There are some unfinished versions of the ACL and ACE classes in the
repo if you're interested in taking a look.
Known Issues
None that I'm aware of. Please file any bug reports on the project page
at http://www.rubyforge.org/projects/win32utils.
License
Artistic 2.0
Copyright
(C) 2003-2012 Daniel J. Berger
All Rights Reserved
Authors
Daniel J. Berger
Park Heesob


With a graph object of class dgr_graph
, add a fully connected graph
either with or without loops. If the graph object set as directed, the
added graph will have edges to and from each pair of nodes. In the
undirected case, a single edge will link each pair of nodes.
add_full_graph(graph, n, type = NULL, label = TRUE, rel = NULL, edge_wt_matrix = NULL, keep_loops = FALSE, node_aes = NULL, edge_aes = NULL, node_data = NULL, edge_data = NULL)
| graph | a graph object of class |
|---|---|
| n | the number of nodes comprising the fully connected graph. |
| type | an optional string that describes the entity type for the nodes to be added. |
| label | either a vector object of length |
| rel | an optional string for providing a relationship label to all new edges created in the connected graph. |
| edge_wt_matrix | an optional matrix of |
| keep_loops | an option to simplify the fully connected graph by removing
loops (edges from and to the same node). The default value is |
| node_aes | an optional list of named vectors comprising node aesthetic
attributes. The helper function |
| edge_aes | an optional list of named vectors comprising edge aesthetic
attributes. The helper function |
| node_data | an optional list of named vectors comprising node data
attributes. The helper function |
| edge_data | an optional list of named vectors comprising edge data
attributes. The helper function |
a graph object of class dgr_graph
.
# Create a new graph object # and add a directed and fully # connected graph with 3 nodes # and edges to and from all # pairs of nodes; with the option # `keep_loops = TRUE` nodes # will also have edges from # and to themselves graph <- create_graph() %>% add_full_graph( n = 3, keep_loops = TRUE) # Get node information # from this graph graph %>% get_node_info()#> id type label deg indeg outdeg loops #> 1 1 <NA> 1 6 3 3 1 #> 2 2 <NA> 2 6 3 3 1 #> 3 3 <NA> 3 6 3 3 1# Using `keep_loops = FALSE` # (the default) will remove # the loops create_graph() %>% add_full_graph(n = 3) %>% get_node_info()#> id type label deg indeg outdeg loops #> 1 1 <NA> 1 4 2 2 0 #> 2 2 <NA> 2 4 2 2 0 #> 3 3 <NA> 3 4 2 2 0# Values can be set for # the node `label`, node # `type`, and edge `rel` graph <- create_graph() %>% add_full_graph( n = 3, type = "connected", label = c("1st", "2nd", "3rd"), rel = "connected_to") # Show the graph's node # data frame (ndf) graph %>% get_node_df()#> id type label #> 1 1 connected 1st #> 2 2 connected 2nd #> 3 3 connected 3rd#> id from to rel #> 1 1 1 2 connected_to #> 2 2 1 3 connected_to #> 3 3 2 1 connected_to #> 4 4 2 3 connected_to #> 5 5 3 1 connected_to #> 6 6 3 2 connected_to# Create a fully-connected and # directed graph with 3 nodes, # and, where a matrix provides # edge weights; first, create the # matrix (with row names to be # used as node labels) set.seed(23) edge_wt_matrix <- rnorm(100, 5, 2) %>% sample(9, FALSE) %>% round(2) %>% matrix( nc = 3, nr = 3, dimnames = list(c("a", "b", "c"))) # Create the fully-connected # graph (without loops however) graph <- create_graph() %>% add_full_graph( n = 3, type = "weighted", label = TRUE, rel = "related_to", edge_wt_matrix = edge_wt_matrix, keep_loops = FALSE) # Show the graph's node # data frame (ndf) graph %>% get_node_df()#> id type label #> 1 1 weighted a #> 2 2 weighted b #> 3 3 weighted c#> id from to rel weight #> 1 1 1 2 related_to 3.30 #> 2 2 1 3 related_to 5.02 #> 3 3 2 1 related_to 4.13 #> 4 4 2 3 related_to 6.49 #> 5 5 3 1 related_to 6.03 #> 6 6 3 2 related_to 5.55# An undirected graph can # also use a matrix with # edge weights, but only # the lower triangle of # that matrix will be used create_graph(directed = FALSE) %>% add_full_graph( n = 3, type = "weighted", label = TRUE, rel = "related_to", edge_wt_matrix = edge_wt_matrix, keep_loops = FALSE) %>% get_edge_df()#> id from to rel weight #> 1 1 1 2 related_to 3.30 #> 2 2 1 3 related_to 5.02 #> 3 3 2 3 related_to 6.49


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object dance party
colored line
spinning line
groovy line
fill Screen!
group colors!
RAVE!
swap rotation!
rotate right!
LINE 'EM UP BOYS
Scatter


D-Bus Adaptor Example
The following example code shows how a D-Bus interface can be implemented using an adaptor.
A sample usage of QDBusAbstractAdaptor is as follows:
class MainApplicationAdaptor: public QDBusAbstractAdaptor { Q_OBJECT Q_CLASSINFO("D-Bus Interface", "org.kde.DBus.MainApplication") Q_PROPERTY(QString caption READ caption WRITE setCaption) Q_PROPERTY(QString organizationName READ organizationName) Q_PROPERTY(QString organizationDomain READ organizationDomain) private: QApplication *app; public: MainApplicationAdaptor(QApplication *application) : QDBusAbstractAdaptor(application), app(application) { connect(application, SIGNAL(aboutToQuit()), SIGNAL(aboutToQuit())); connect(application, SIGNAL(focusChanged(QWidget*,QWidget*)), SLOT(focusChangedSlot(QWidget*,QWidget*))); } QString caption() { if (app->hasMainWindow()) return app->mainWindow()->caption(); return QString(""); // must not return a null QString } void setCaption(const QString &newCaption) { if (app->hasMainWindow()) app->mainWindow()->setCaption(newCaption); } QString organizationName() { return app->organizationName(); } QString organizationDomain() { return app->organizationDomain(); } public slots: Q_NOREPLY void quit() { app->quit(); } void reparseConfiguration() { app->reparseConfiguration(); } QString mainWindowObject() { if (app->hasMainWindow()) return QString("/%1/mainwindow").arg(app->applicationName()); return QString(); } void setSessionManagement(bool enable) { if (enable) app->enableSessionManagement(); else app->disableSessionManagement(); } private slots: void focusChangedSlot(QWidget *, QWidget *now) { if (now == app->mainWindow()) emit mainWindowHasFocus(); } signals: void aboutToQuit(); void mainWindowHasFocus(); };
The code above would create an interface that could be represented more or less in the following canonical representation:
interface org.kde.DBus.MainApplication { property readwrite STRING caption property read STRING organizationName property read STRING organizationDomain method quit() annotation("org.freedesktop.DBus.Method.NoReply", "true") method reparseConfiguration() method mainWindowObject(out STRING) method disableSessionManagement(in BOOLEAN enable) signal aboutToQuit() signal mainWindowHasFocus() }
This adaptor could be used in the application's main function as follows
int main(int argc, char **argv) { // create the QApplication object QApplication app(argc, argv); // create the MainApplication adaptor: new MainApplicationAdaptor(app); // connect to D-Bus and register as an object: QDBusConnection::sessionBus().registerObject("/MainApplication", &app); // add main window, etc. [...] app.exec(); }
Break-down analysis:
The Header
The header of the example is:
class MainApplicationAdaptor: public QDBusAbstractAdaptor { Q_OBJECT Q_CLASSINFO("D-Bus Interface", "org.kde.DBus.MainApplication")
The code does the following:
- it declares the adaptor MainApplicationAdaptor, which descends from QDBusAbstractAdaptor
- it declares the Qt meta-object data using the Q_OBJECT macro
- it declares the name of the D-Bus interface it implements.
The Properties
The properties are declared as follows:
Q_PROPERTY(QString caption READ caption WRITE setCaption) Q_PROPERTY(QString organizationName READ organizationName) Q_PROPERTY(QString organizationDomain READ organizationDomain)
And are implemented as follows:
QString caption() { if (app->hasMainWindow()) return app->mainWindow()->caption(); return QString(); } void setCaption(const QString &newCaption) { if (app->hasMainWindow()) app->mainWindow()->setCaption(newCaption); } QString organizationName() { return app->organizationName(); } QString organizationDomain() { return app->organizationDomain(); }
The code declares three properties: one of them is a read-write property called "caption" of string type. The other two are read-only, also of the string type.
The properties organizationName and organizationDomain are simple relays of the app object's organizationName and organizationDomain properties. However, the caption property requires verifying if the application has a main window associated with it: if there isn't any, the caption property is empty. Note how it is possible to access data defined in other objects through the getter/setter functions.
The Constructor
The constructor:
MyInterfaceAdaptor(QApplication *application) : QDBusAbstractAdaptor(application), app(application) { connect(application, SIGNAL(aboutToQuit()), SIGNAL(aboutToQuit()); connect(application, SIGNAL(focusChanged(QWidget*,QWidget*)), SLOT(focusChangedSlot(QWidget*,QWidget*))); }
The constructor does the following:
- it initialises its base class (QDBusAbstractAdaptor) with the parent object it is related to.
- it stores the app pointer in a member variable. Note that it would be possible to access the same object using the QDBusAbstractAdaptor::object() function, but it would be necessary to use static_cast<> to properly access the methods in QApplication that are not part of QObject.
- it connects the application's signal aboutToQuit to its own signal aboutToQuit.
- it connects the application's signal focusChanged to a private slot to do some further processing before emitting a D-Bus signal.
Note that there is no destructor in the example. An eventual destructor could be used to emit one last signal before the object is destroyed, for instance.
Slots/methods
The public slots in the example (which will be exported as D-Bus methods) are the following:
public slots: Q_NOREPLY void quit() { app->quit(); } void reparseConfiguration() { app->reparseConfiguration(); } QString mainWindowObject() { if (app->hasMainWindow()) return QString("/%1/mainwindow").arg(app->applicationName()); return QString(); } void setSessionManagement(bool enable) { if (enable) app->enableSessionManagement(); else app->disableSessionManagement(); }
This snippet of code defines 4 methods with different properties each:
quit
: this method takes no parameters and is defined to be asynchronous. That is, callers are expected to use "fire-and-forget" mechanism when calling this method, since it provides no useful reply. This is represented in D-Bus by the use of the org.freedesktop.DBus.Method.NoReply annotation. See Q_NOREPLY for more information on asynchronous methodsreparseConfiguration
: this simple method, with no input or output arguments simply relays the call to the application's reparseConfiguration member function.mainWindowObject
: this method takes no input parameter, but returns one string output argument, containing the path to the main window object (if the application has a main window), or an empty string if it has no main window. Note that this method could have also been written: void mainWindowObject(QString &path).setSessionManagement
: this method takes one input argument (a boolean) and, depending on its value, it calls one function or another in the application.
See also: Q_NOREPLY.
Signals
The signals in this example are defined as follows:
signals: void aboutToQuit(); void mainWindowHasFocus();
However, signal definition isn't enough: signals have to be emitted. One simple way of emitting signals is to connect another signal to them, so that Qt's signal handling system chains them automatically. This is what is done for the aboutToQuit signal.
When this is the case, one can use the QDBusAbstractAdaptor::setAutoRelaySignals to automatically connect every signal from the real object to the adaptor.
When simple signal-to-signal connection isn't enough, one can use a private slot do do some work. This is what was done for the mainWindowHasFocus signal:
private slots: void focusChangedSlot(QWidget *, QWidget *now) { if (now == app->mainWindow()) emit mainWindowHasFocus(); }
This private slot (which will not be exported as a method via D-Bus) was connected to the focusChanged
signal in the adaptor's constructor. It is therefore able to shape the application's signal into what the interface expects it to be.


JASON GOES TO HELL: THE FINAL FRIDAY A film review by James Berardinelli Copyright 1993 James Berardinelli
Rating (Linear 0 to 10): 3.4
Date Released: 8/13/93 Running Length: 1:29 Rated: R (Violence, gore, language, nudity, sex, mayhem)
Starring: John D. LeMay, Kari Keegan, Erin Gray, Steven Williams Director: Adam Marcus Producer: Sean S. Cunningham Screenplay: Dean Lorey and Jay Hugely, based on the story by Hugely and Adam Marcus Music: Harry Manfredini Released by New Line Cinema
This may be a first: a movie title that gives away the ending of the film. Come to think of it, some of the other FRIDAY THE 13TH films did the same thing, didn't they? Actually, they lied. Any bets about this one?
 What better (and more obvious) prelude to the arrival of Jason for his ninth resurrection. After failing to skewer or behead his victim on the first try, he chases her through the woods before finally cornering her in an apparently empty clearing. Oops. Jason has made a mistake. His prey is actually a plant (not of the flowering variety, although the performance is a bit wooden) and he's suddenly surrounded by military-type men with all kinds of firepower. Fourth of July! It doesn't take long before the killer is a mound of burnt up organs. It looks like it's all over. That is, until the coroner takes too close a look at Jason's oversized heart.
Surprise, surprise! This film will not make my bottom ten list of the year. In fact, it won't come close. Despite a legacy of horrible previous efforts under the FRIDAY THE 13TH umbrella (of which I have seen only three--parts 1, 2, and 8--all on cable), this film actually has a few good elements buried amidst all the dead bodies, dumb dialogue, and mystical nonsense. Chief among these is that JASON GOES TO HELL has chosen to turn the series in the direction of open self-parody.
This movie doesn't take itself seriously--at least not too seriously. In between the various maimings, it takes time out to poke fun at the series' reputation, including a reference to going up to Camp Crystal Lake to "do drugs, have premarital sex, and get slaughtered". It's this warped sense of humor that actually makes the film somewhat entertaining. In a genre where it's often difficult to tell satires from serious attempts, the parodies in JASON GOES TO HELL are far too obvious to be accidental.
Of course, horror fans won't be disappointed. There are the requisite jump-out-of-your-seat-scares (complete with a burst of over-the-top music), not to mention a high body count. Actually, in terms of showing the gruesome deeds, JASON GOES TO HELL is pretty tame. Sure, there are a lot of shots of organs and blood, but most of the murders happen off screen. You know how the people are slaughtered, but you aren't subjected to watching the details.
In the end, Jason gets his--again. But is he really dead this time? Despite the assertion that if he's skewered by one of his relatives, he's finally gone, I somehow doubt that. Unless this film runs a serious financial deficit--which seems unlikely given the opening weekend turnout--Jason will be back. In fact, we're even given a substantial clue about his next cinematic adventure.
After the disappointing lack of success of FRIDAY THE 13TH PART EIGHT, Paramount Pictures, the previous distributor of these films, gave up on the series. New Line Cinema quickly snatched up the rights. The executives had a great idea for a crossover now that they owned Jason and Freddy Krueger. My question is, why not try to get Michael Meyers (the killer from the HALLOWEEN series, not the guy who should be axed for foisting SO I MARRIED AN AXE MURDERER on us)? Then there could be a real gathering of the Who's Who of Maniacs. As of now, however, clues point to it being just Jason and Freddy. Oh well.
Make no mistake from any slight praise that I might give this film--it is in no way a good movie. Seeing it with the right rowdy audience while not spending money on it (if I hadn't gotten in for free, I wouldn't have seen this film) makes Jason's latest apparition bearable. For anyone who is even luke-warm about this genre, don't take this as a recommendation to see the film. But for blood-and-guts lovers everywhere, the return of Jason is reason enough to trundle down to the local multiplex for a midnight showing. After all, you wouldn't dare consider seeing this movie during the day!
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Post-16 development team
Email<EMAIL_ADDRESS>Telephone: Moira Nelson 01325 340686
Official Statistics
Experimental statistics on level 1 and 2 English and maths in 16 to 18 study by students who didn't achieve A* to C by the end of KS4.
PDF , 502KB , 17 pages
MS Excel Spreadsheet , 119KB
MS Excel Spreadsheet , 1.22MB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
ODS , 1.14MB
This file is in an OpenDocument format
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 304KB , 6 pages
Plain text , 1.48KB
These statistics cover the English and maths attainment in 16 to 18 study by students who did not achieve a GCSE grade A* to C by the end of key stage 4 ( KS4 ) in the academic year 2012 to 2013.
The national tables and technical note provide more details about the students. The institution tables present the statistics by school and college.
Email<EMAIL_ADDRESS>Telephone: Moira Nelson 01325 340686
Published: 24 May 2016
Updated: 10 August 2016
From: Department for Education
Part of: Statistics: 16 to 19 attainment


I'm a 31 year old woman from the Netherlands. I'm a very down to earth person and I don't suffer from depressions. I exercise a lot and I eat healthy. I use multivitamin and added vitamin B supplements because I used to get the flu often because of smoking cigarettes. I don't eat meat and the B supplements give me more energy.
In the past Iíve done my share of drugs like weed, speed, coke and Xtc. Occasionally Iíve used lsd, mushrooms and smoked heroin a couple of times. Only coke was hard to quit, but the others I didn't feel addicted to. However, I've always felt the need to enhance my weekend somehow. I do have an addiction to some enhancer, but I don't care what substance.
For years I didn't do any drugs until this summer. I took an interest in more exotic, natural drugs. And I quit smoking cigarettes. Unfortunately marihuana makes me very psychotic, paranoia and shy. In Amsterdam we have several smartshops that sell exotic drugs. I asked for something relaxing but not too overwhelming. The lady behind the counter suggested Kratom. She gave me a bag of 7 grammes and warned me about the taste.
When I got home at about 4pm that Saturday, I tried to make tea with it, but the powder didn't dissolve at all. I ended up with a cup of witchbrew. The smell and taste were horrible, but I managed to get it down. After about one hour I felt mellow and euphoric, but still able to talk. I did feel slightly nauseus of the foul taste of the tea, but the euphoria sort of pushed that to the background. I took my bicycle and went cycling in the city. I felt absolutely terrific. I chatted with tourists and smiled at everybody. The comedown was about two hours later. The effects just gradually faded. The nausea stayed the whole time, but during the comedown I noticed it more. When I got home again, I still felt it and didn't eat anything the rest of the night. I didn't feel any mental hangover.
After that, the next time I took it was with two girlfriends. We were going to the beach that day. I bought four bags of seven grammes each. We each took one bag and split the remaining bag which left us with over nine grammes. We decided to mix it with 500 milliliters of fruit yoghurt each. It mixed better, but my body seemed to remember the resulting nausea from last time. I had the hardest time getting it down. I gagged a couple of times, but managed. My friends had less trouble, but didn't like the taste either.
At the beach we all felt euphoric. Again, I felt nausea and my friends did too, but less than me. I'm as hetero as a girl can be, but I felt a sexual interest in my friends. They said they felt that too. We spent all afternoon lying in the sun, swimming and running around each other like kids. It was great. When I was almost home, I felt so nauseaus I had to step off of my bicycle and I vomited in the grass. At home I vomited again a couple of times until I fell asleep. I didn't sleep well, my mind seemed to be in a loop, like with acid, but a lot less strong.
Ever since then I did use Kratom every time I went out. It did get harder to get it down each time, but I didn't vomit again. I've come across an internet company that sells a 60x extract, that completely takes away the nausea. I noticed it doesn't mix well with alcohol. Alcohol seems to lessen the effects and increase the nausea. Another warning: Kratom is a serious pain killer. Sometimes I get home with bruises or scabs that I don't remember acquiring, because I didn't feel any pain. I do imagine it can help a lot for people suffering from migraine.
When I'm high on Kratom, I do experience some craving for more during comedown. I don't experience this craving on other times when I'm not high. Kratom has become a regular drug for me and I enjoy it on pretty much every party.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Back edges are those edges (u,v) connecting a vertex u to an ancestor v in a depth-first tree. We consider self-loops, which may occur in directed graphs, to be back edges.


Blog
The Guide To Living Creatively
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.
The Guide To Living Creatively
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.
The Guide To Living Creatively
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.
The Guide To Living Creatively
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.


COM6011 Maxi Project
| Summary |
The MAXI project is a group project which begins in the
Autumn Semester and continues through the Spring Semester. |
| Session |
Academic Year 2017/18 |
| Credits |
20 |
| Assessment |
There are no written examinations for this module.
Assessment is entirely on the basis of the deliverables
produced during the project. |
| Lecturer(s) |
John Stovin |
| Resources |
Unconfirmed
practical marks when available |
| Aims |
to offer an insight into the more practical aspects of the
taught modules and |
| Objectives |
to provide students with experience of working in teams. |
| Content |
Group project work, including implementation of a
substantial piece of software. |
| Restrictions |
Only available to students on COMT138 |
| Teaching Method |
The skills necessary for this sort of group work, which
play a critical role in commercial software development, can
most effectively be learnt by experience. The MAXI project
is based around a client, who has a real problem to be solved. Students
are split into teams of about five people, who work
cooperatively on the analysis, design, implementation and
testing of the client's software. It is managed by an
experienced professional software consultant (Mr John Stovin) rather than by a member of the academic staff. |
| Feedback |
Students receive feedback in the tutorial sessions which
follow each deliverable deadline. Students are encouraged
(particularly in semester 2) to view each tutorial session
as an opportunity to receive advice and feedback on any and
all aspects of the MAXI. This includes team working, project
planning and management, as well was the direct project
outputs. Feedback on deliverables is given both orally and
as annotations to documents which are returned. Other
feedback is given orally or as appropriate. |
| Recommended Reading |
None. |
|


Don't get overwhelmed by the work on your plate. Turbo your way through your to-do list by making a simple choice for each task: do it, delegate it or defer it…. You are ready to start your day in 1-2-3 easy steps.
Your Current list contains all the tasks you have agreed to and that aren’t blocked, delegated or deferred. That’s a good first step in deciding what to do next. However, sometimes even your Current list can be overwhelming. That is where the Turbo Wizard comes in.
The Turbo Wizard moves you from the top to the bottom of your Current list, giving you a view of each task’s details. To filter your Current list down to what you can accomplish today, the Turbo Wizard provides you the following options for each task.
… And if the task is Private


- saveLag(String) - Method in class venice.hub.VeniceWriter
-
Saves lag history to file.
- saveLagHistory() - Static method in class venice.hub.VeniceHub
-
Saves lag history to file, if enabled.
- seek(long) - Method in class venice.hub.DiskReader
-
Seeks to a specific timestamp in the file.
- seek(long) - Method in class venice.hub.RPCControl
-
Command VeniceHub to seek for a certain timestamp.
- seek(long) - Method in class venice.hub.utils.TTEBufferedReader
-
Induces the seek for a specific timestamp in the file.
- seekForRelativePosition(long) - Static method in class venice.hub.VeniceHub
-
Seek for a timestamp relative to the timestamp of the first line in
the file being replayed.
- seekForTimestamp(long) - Static method in class venice.hub.VeniceHub
-
Seek for a absolute timestamp (a timestamp in the log file, without any modifications).
- setClassMatchFile(String) - Method in class venice.hub.utils.Configuration
-
Sets the name of the file with class matching definitions.
- setLagHistoryEnabled(boolean) - Static method in class venice.hub.VeniceHub
-
Enables or disables the lag history.
- setLagLogN(int) - Static method in class venice.hub.VeniceHub
-
Sets the rhythm of logging lag data.
- setLastPushedTimestamp(long) - Static method in class venice.hub.VeniceHub
-
Sets the timestamp of the last pushed event
(for network writer modes).
- setMessageEnabled(boolean) - Static method in class venice.hub.VeniceHub
-
Should messages for the console be enabled?
- setPause(boolean) - Static method in class venice.hub.VeniceHub
-
Sets pause or play mode.
- setPreferredXIOParser(XIOParser) - Static method in class venice.hub.VeniceHub
-
Sets the xioParser to be used for parsing XIO lines.
- setProtobufDir(String) - Method in class venice.hub.utils.Configuration
-
Set the name of the directory where to look for protobuf classes.
- setReadingPosition(int) - Method in class venice.hub.utils.TTEBuffer
-
Sets the reading position inside of the buffer.
- setReplayDelay(long) - Static method in class venice.hub.VeniceHub
-
Sets the replay delay by which timestamps of events are modified before
they are replayed.
- setReplayOffset(long) - Static method in class venice.hub.VeniceHub
-
Sets the timestamp-offset for replaying files.
- setSendInitValue(boolean) - Method in class venice.hub.utils.Configuration
-
For activating initialization values.
- setTimestampOf1stLine(long) - Static method in class venice.hub.VeniceHub
-
Sets the timestamp of the first XIO line in the replay file
(for disk source mode).
- setTimestampOfLastLine(long) - Static method in class venice.hub.VeniceHub
-
Sets the timestamp of the last line in the file.
- setUnicastAddress(String) - Method in class venice.hub.utils.Configuration
-
- setUnicastPort(int) - Method in class venice.hub.utils.Configuration
-
- setUnicastServers(String) - Method in class venice.hub.utils.Configuration
-
- setVPAddress(String) - Method in class venice.hub.utils.Configuration
-
- setVPFile(String) - Method in class venice.hub.utils.Configuration
-
- setVPPort(int) - Method in class venice.hub.utils.Configuration
-
- setXioCodesFilename(String) - Method in class venice.hub.utils.Configuration
-
Set a name for a file containing XML definitions of a mapping
between XIO tag names and data types.
- showBuffer() - Static method in class venice.hub.VeniceHub
-
Shows some information about the disk-reader buffer.
- showContent() - Method in class venice.hub.utils.TTEQueue
-
For debugging: Shows the actual content of the DelayQueue with DiskTime.
- showLastWrittenTS() - Static method in class venice.hub.VeniceHub
-
Shows the timestamp of the last written event
- showTSOfFirstLine() - Static method in class venice.hub.VeniceHub
-
Shows the timestamp of the first line of the file.
- size() - Method in class venice.hub.utils.TTEQueue
-
- stopThread() - Method in class venice.hub.ConsoleControl
-
Called by VeniceHub when this thread has to be stopped.
- stopThread() - Method in class venice.hub.RPCControl
-
Called by VeniceHub when this thread has to be stopped.
- stopThread() - Method in class venice.hub.utils.TTEBufferedReader
-
Will be called by VeniceHub to end this Thread.
- stopThread() - Method in class venice.hub.VeniceControl
-
Called by VeniceHub when this thread has to be stopped.
- stopThread() - Method in class venice.hub.VeniceReader
-
Called when this thread has to be stopped.
- stopThread() - Method in class venice.hub.VeniceWriter
-
Called when this thread has to be stopped.
- switchMsg() - Static method in class venice.hub.VeniceHub
-
Switches between message mode on/off.
- switchPause() - Static method in class venice.hub.VeniceHub
-
Switches between pause and play.


Common interfaces and classes used by all components of this library.
The main object that represents an Image with both modal, thumbnail, description and so on.
To initialize ModalGallery
you must instantiate an array of these objects with the 'new' keyword.
id |
Type:
number
Mandatory UNIQUE id to identify the image. |
modal |
Type:
ModalImage
Mandatory interface to configure the modal image. |
plain |
Type:
PlainImage optional
Optional interface to configure the thumbnail (or 'plain image'). |
Interface to configure optional dots below the modal image.
visible |
Type:
boolean
If true, dots are visible, false otherwise. true by default. |
Interface to customize images/icon sizes.
width |
Type:
string
It can be a valid value for the css 'width' property. For instance, you can use either '100px', 'auto', '20%'. Default values change depending by the related component. |
height |
Type:
string
It can be a valid value for the css 'height' property. For instance, you can use either '100px', 'auto', '20%'. Default values change depending by the related component. |
Interface to change the behaviour of auto-navigation, like autoPlay and interval in milliseconds.
autoPlay |
Type:
boolean
If false autoPlay is disabled. true by default. |
interval |
Type:
number
Integer >= 0 that represents the amount of time in milliseconds between every image. It's used only when autoPlay is enabled. 5000 by default. |
pauseOnHover |
Type:
boolean
If false, carousel won't stop moving the mouse pointer over it. true by default. |
Enum that represents the source of an action. It can be one of these enum values:
NORMAL
: the default valueCLICK
: mouse click actionKEYBOARD
: keyboard action (ctrl+s, cmd+s, esc, →, ← and so on)SWIPE
: swipe actionLOAD
: data/images loaded by the libraryAUTOPLAY
: modal-gallery's navigation caused by autoPlay


[gecode-users] Adding constraints to model in <RBS>: is there any example code?
Dirk Obermann
dirk.obermann67 at gmail.com
Wed Apr 12 22:27:31 CEST 2017
Thanks, Christian.
You were, of course, correct. BAB does the job and my code is now much more
elegant than before. It also works well to combine with RBS.
However, my earlier code was sometimes faster. The reason is that I could
take "large steps", adding constraints in chunks until the search failed. I
could then go back to the last feasible model and add constraints one by
one instead of in chunks.
Is something similar possible in the gecode search engines? What I would
like do is the following: I run BAB until fail, and then "reset the state
of the engine" to where it was when it produced the last feasible solution
("before my last call to the constrain function", so to speak). I would
then re-run the search from there (with another behavior of the constrain
function).
Thanks,
Dirk
On Tue, Apr 11, 2017 at 1:49 PM, Christian Schulte <cschulte at kth.se> wrote:
> Hi,
>
>
>
> First, I am not so sure that your idea works in principle: you say that
> the problem is that you spend a lot of time to find a first feasible
> solution, especially after adding additional constraints. However, that
> would not change with restarts: after all, you would restart the search and
> would have to do the same search in order to find the first feasible
> solution. The only benefit I could see is adding no-goods from restarts.
>
>
>
> Anyway, what you want to do (I guess) is that you accumulate additional
> constraints which each restart. This you can only do by adding constraints
> to the master (remember, the slave will always be initialized fresh from
> the master for each restart). LNS is different as you want try different
> constraints each time you restart, hence you have to do it on the slave.
>
>
>
> Hence, you will have to reimplement the master function, there you just
> add the additional constraints.
>
>
>
> Have you thought about using BAB? There, each time you find a solution you
> can add new constraints based on that solution _*without*_ restarting
> search. Sounds more like it to me.
>
>
>
> Cheers
>
> Christian
>
>
>
> --
>
> Christian Schulte, www.gecode.org/~schulte
>
> Professor of Computer Science, KTH, cschulte at kth.se
>
> Expert Researcher, RISE SICS, christian.schulte at ri.se
>
>
>
> *From:* users-bounces at gecode.org [mailto:users-bounces at gecode.org] *On
> Behalf Of *Dirk Obermann
> *Sent:* Tuesday, April 11, 2017 13:34
> *To:* users at gecode.org
> *Subject:* [gecode-users] Adding constraints to model in <RBS>: is there
> any example code?
>
>
>
> Hello -
>
>
>
> I am trying to do program up a search engine that performs sequential
> refinement by adding more and more constraints to a model. In the first
> run, I am happy with a solution at all, but then I want to add increasingly
> complex constraints until there is no more solution (or the search engine
> times out).
>
>
>
> Now, I first run a model with a single constraint. If DFS can find a
> solution, then I run a completely new model with two constraints and from
> scratch. If this model is feasible, then I run the model with three
> constraints, etc.
>
>
>
> In principle, this solution works, but it is a very inefficient: a lot of
> time is spent generating the first feasible solution when restarting the
> search (especially as the problem becomes more constrained).
>
>
>
> It seems to me that this should be doable with RBS or a variation of the
> LDS engine, as described in the MPG. But there are very few examples to
> follow (the closest I found was this question posted on stack overflow
> http://stackoverflow.com/questions/34182681/how-to-
> change-the-variable-value-ordering-in-gecodes-restart-based-search but
> unfortunately it does not contain any answer). I simply cannot understand
> how to do it right. In particular, where do I post additional constraint on
> the model (in the master space, the slave space or elsewhere)?
>
>
>
> Any leads on how to do it, or links to code that adds constraints or
> changes branching order in RBS would be appreciated!
>
>
>
> Cheers,
>
>
>
> Dirk
>
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repl
-- sometimes you need a repl
repl
[repl-options] command <...>
repl
wraps a non-interactive command
in an interactive
read-eval-print-loop prompt. Each line you type into the prompt is
executed as arguments to command
. Anything written to standard
output or standard error by the command
is displayed.
If you have rlwrap(1)
installed you'll automatically get the full
benefits of readline: history, reverse searches, etc.
repl
is meant to wrap programs which accept command line arguments
and print to the standard output. It keeps no state between executed
lines and, as such, cannot be used to replace irb
or the Python
REPL (for example).
Using repl
with redis-cli
:
$ repl redis-cli
>> set name chris
OK
>> get name
chris
>> info
redis_version:1.000
uptime_in_seconds:182991
uptime_in_days:2
.. etc ..
Using repl
with Ruby's gem
:
$ repl gem
>> --version
1.3.5
>> search yajl
*** LOCAL GEMS ***
yajl-ruby (0.6.7)
>> search yajl -r
*** REMOTE GEMS ***
brianmario-yajl-ruby (0.6.3)
filipegiusti-yajl-ruby (0.6.4)
jdg-yajl-ruby (0.5.12)
oortle-yajl-ruby (0.5.8)
yajl-ruby (0.6.7)
Using repl
with git
:
$ repl git
>> branch
gh-pages
* master
>> tag
rm
v0.1.0
v0.1.1
v0.1.2
v0.1.3
>> tag -d rm
Deleted tag 'rm'
>> pwd
git: 'pwd' is not a git-command. See 'git --help'.
Did you mean this?
add
-h
, --help
Displays usage information.
--stdin
Pipe input to command's STDIN.
--debug
Displays debug information while running.
--man
Displays this man page.
Because rlwrap
supports completion, repl
does too. Any file in
~/.repl
matching the name of the command you start repl
with will
be used for completion.
For instance, a file named ~/.repl/redis-cli
containing "get set
info" will cause "get", "set", and "info" to be tab completeable at
the repl redis-cli
prompt.
The directory searched for completion files can be configured using
the REPL_COMPLETION_DIR
environment variable.
Because rlwrap
supports command history, repl
does too. Any file in
~/
matching the name of the command you start repl
with prefix
with a dot and suffixed with "_history" will be used for completion.
For instance, a file named ~/.redis-cli_history
containing a newline
separated list of "get set info" will cause "get", "set", and "info"
to be reachable using the up arrow as command history at the repl
redis-cli
prompt.
The directory searched for history files can be configured using the
REPL_HISTORY_DIR
environment variable.
the prompt to display before each line of input. defaults to >>
directory in which completion files are kept
directory in which command history files are kept
http://github.com/defunkt/repl/issues
Chris Wanstrath<EMAIL_ADDRESS>:: @defunkt
rlwrap(1), readline(3), http://github.com, http://github.com/defunkt/repl


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Characteristics(
Coming soon!!, can I hear a whoop! whoop!?).
Meanwhile:
- I'm 5 feet 1. Just take my word for it
- Weigh 51kg (Theoretically)
- Near sighted so mostly on glasses
- Always on a t-shirt or a hoodie depending on the weather
- I love the forest but I'm never there
- I like running coz it always seems to take wayyy too long to get any where.
- Oh yeah. I love star wars and star trek. But I love star wars more.


Sphinx Developer’s Guide¶
Abstract
This document describes the development process of Sphinx, a documentation system used by developers to document systems used by other developers to develop other systems that may also be documented using Sphinx.
The Sphinx source code is managed using Git and is hosted on GitHub.
git clone git://github.com/sphinx-doc/sphinx
Community
- sphinx-users<EMAIL_ADDRESS>- Mailing list for user support.
- sphinx-dev<EMAIL_ADDRESS>- Mailing list for development related discussions.
- #sphinx-doc on irc.freenode.net
- IRC channel for development questions and user support.
Bug Reports and Feature Requests¶
If you have encountered a problem with Sphinx or have an idea for a new feature, please submit it to the issue tracker on GitHub or discuss it on the sphinx-dev mailing list.
For bug reports, please include the output produced during the build process and also the log file Sphinx creates after it encounters an un-handled exception. The location of this file should be shown towards the end of the error message.
Including or providing a link to the source files involved may help us fix the issue. If possible, try to create a minimal project that produces the error and post that instead.
Contributing to Sphinx¶
The recommended way for new contributors to submit code to Sphinx is to fork the repository on GitHub and then submit a pull request after committing the changes. The pull request will then need to be approved by one of the core developers before it is merged into the main repository.
- Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.
- If you feel uncomfortable or uncertain about an issue or your changes, feel free to email<EMAIL_ADDRESS>- Fork the repository on GitHub to start making your changes to the master branch for next major version, or stable branch for next minor version.
- Write a test which shows that the bug was fixed or that the feature works as expected.
- Send a pull request and bug the maintainer until it gets merged and published. Make sure to add yourself to AUTHORS and the change to CHANGES.
Getting Started¶
These are the basic steps needed to start developing on Sphinx.
Create an account on GitHub.
Fork the main Sphinx repository (sphinx-doc/sphinx) using the GitHub interface.
Clone the forked repository to your machine.
git clone https://github.com/USERNAME/sphinx cd sphinx
Checkout the appropriate branch.
For changes that should be included in the next minor release (namely bug fixes), use the
stable
branch.git checkout stable
For new features or other substantial changes that should wait until the next major release, use the
master
branch.Optional: setup a virtual environment.
virtualenv ~/sphinxenv . ~/sphinxenv/bin/activate pip install -e .
Create a new working branch. Choose any name you like.
git checkout -b feature-xyz
Hack, hack, hack.
For tips on working with the code, see the Coding Guide.
Test, test, test. Possible steps:
Run the unit tests:
pip install -r test-reqs.txt make test
Again, it’s useful to turn on deprecation warnings on so they’re shown in the test output:
PYTHONWARNINGS=all make test
Build the documentation and check the output for different builders:
cd doc make clean html latexpdf
Run code style checks and type checks (type checks require mypy):
make style-check make type-check
Run the unit tests under different Python environments using tox:
pip install tox tox -v
Add a new unit test in the
tests
directory if you can.For bug fixes, first add a test that fails without your changes and passes after they are applied.
Tests that need a sphinx-build run should be integrated in one of the existing test modules if possible. New tests that to
@with_app
and thenbuild_all
for a few assertions are not good since the test suite should not take more than a minute to run.
Please add a bullet point to
CHANGES
if the fix or feature is not trivial (small doc updates, typo fixes). Then commit:git commit -m '#42: Add useful new feature that does this.'
GitHub recognizes certain phrases that can be used to automatically update the issue tracker.
For example:
git commit -m 'Closes #42: Fix invalid markup in docstring of Foo.bar.'
would close issue #42.
Push changes in the branch to your forked repository on GitHub.
git push origin feature-xyz
Submit a pull request from your branch to the respective branch (
master
orstable
) onsphinx-doc/sphinx
using the GitHub interface.Wait for a core developer to review your changes.
Core Developers¶
The core developers of Sphinx have write access to the main repository. They can commit changes, accept/reject pull requests, and manage items on the issue tracker.
You do not need to be a core developer or have write access to be involved in the development of Sphinx. You can submit patches or create pull requests from forked repositories and have a core developer add the changes for you.
The following are some general guidelines for core developers:
- Questionable or extensive changes should be submitted as a pull request instead of being committed directly to the main repository. The pull request should be reviewed by another core developer before it is merged.
- Trivial changes can be committed directly but be sure to keep the repository in a good working state and that all tests pass before pushing your changes.
- When committing code written by someone else, please attribute the original
author in the commit message and any relevant
CHANGES
entry.
Locale updates¶
The parts of messages in Sphinx that go into builds are translated into several
locales. The translations are kept as gettext .po
files translated from the
master template sphinx/locale/sphinx.pot
.
Sphinx uses Babel to extract messages
and maintain the catalog files. It is integrated in setup.py
:
- Use
python setup.py extract_messages
to update the.pot
template. - Use
python setup.py update_catalog
to update all existing language catalogs insphinx/locale/*/LC_MESSAGES
with the current messages in the template file. - Use
python setup.py compile_catalog
to compile the.po
files to binary.mo
files and.js
files.
When an updated .po
file is submitted, run compile_catalog to commit both
the source and the compiled catalogs.
When a new locale is submitted, add a new directory with the ISO 639-1 language
identifier and put sphinx.po
in there. Don’t forget to update the possible
values for :confval:`language` in doc/config.rst
.
The Sphinx core messages can also be translated on Transifex. There exists a client tool named tx
in the
Python package “transifex_client”, which can be used to pull translations in
.po
format from Transifex. To do this, go to sphinx/locale
and then run
tx pull -f -l LANG
where LANG is an existing language identifier. It is
good practice to run python setup.py update_catalog
afterwards to make sure
the .po
file has the canonical Babel formatting.
Coding Guide¶
- Try to use the same code style as used in the rest of the project. See the Pocoo Styleguide for more information.
- For non-trivial changes, please update the
CHANGES
file. If your changes alter existing behavior, please document this. - New features should be documented. Include examples and use cases where appropriate. If possible, include a sample that is displayed in the generated output.
- When adding a new configuration variable, be sure to document it and update
sphinx/quickstart.py
if it’s important enough. - Use the included utils/check_sources.py script to check for common formatting issues (trailing whitespace, lengthy lines, etc).
- Add appropriate unit tests.
Debugging Tips¶
Delete the build cache before building documents if you make changes in the code by running the command
make clean
or using thesphinx-build -E
option.Use the
sphinx-build -P
option to run Pdb on exceptions.Use
node.pformat()
andnode.asdom().toxml()
to generate a printable representation of the document structure.Set the configuration variable :confval:`keep_warnings` to
True
so warnings will be displayed in the generated output.Set the configuration variable :confval:`nitpicky` to
True
so that Sphinx will complain about references without a known target.Set the debugging options in the Docutils configuration file.
JavaScript stemming algorithms in
sphinx/search/*.py
(excepten.py
) are generated by this modified snowballcode generator. Generated JSX files are in this repository. You can get the resulting JavaScript files using the following command:$ npm install $ node_modules/.bin/grunt build # -> dest/*.global.js
Deprecating a feature¶
There are a couple reasons that code in Sphinx might be deprecated:
- If a feature has been improved or modified in a backwards-incompatible way, the old feature or behavior will be deprecated.
- Sometimes Sphinx will include a backport of a Python library that’s not included in a version of Python that Sphinx currently supports. When Sphinx no longer needs to support the older version of Python that doesn’t include the library, the library will be deprecated in Sphinx.
As the Deprecation policy describes,
the first release of Sphinx that deprecates a feature (A.B
) should raise a
RemovedInSphinxXXWarning
(where XX is the Sphinx version where the feature
will be removed) when the deprecated feature is invoked. Assuming we have good
test coverage, these warnings are converted to errors when running the test
suite with warnings enabled: python -Wall tests/run.py
. Thus, when adding
a RemovedInSphinxXXWarning
you need to eliminate or silence any warnings
generated when running the tests.
Deprecation policy¶
A feature release may deprecate certain features from previous releases. If a feature is deprecated in feature release 1.A, it will continue to work in all 1.A.x versions (for all versions of x) but raise warnings. Deprecated features will be removed in the first 1.B release, or 1.B.1 for features deprecated in the last 1.A.x feature release to ensure deprecations are done over at least 2 feature releases.
So, for example, if we decided to start the deprecation of a function in Sphinx 1.4:
- Sphinx 1.4.x will contain a backwards-compatible replica of the function
which will raise a
RemovedInSphinx16Warning
. - Sphinx 1.5 (the version that follows 1.4) will still contain the backwards-compatible replica.
- Sphinx 1.6 will remove the feature outright.
The warnings are displayed by default. You can turn off display of these warnings with:
PYTHONWARNINGS= make html
(Linux/Mac)export PYTHONWARNINGS=
and domake html
(Linux/Mac)set PYTHONWARNINGS=
and domake html
(Windows)
Unit Testing¶
Sphinx has been tested with pytest runner. Sphinx developers write unit tests
using pytest notation. Utility functions and pytest fixtures for testing are
provided in sphinx.testing
. If you are a developer of Sphinx extensions,
you can write unit tests with using pytest. At this time, sphinx.testing
will help your test implementation.
How to use pytest fixtures that are provided by sphinx.testing
?
You can require 'sphinx.testing.fixtures'
in your test modules or
conftest.py
files like this:
pytest_plugins = 'sphinx.testing.fixtures'
If you want to know more detailed usage, please refer to tests/conftest.py
and other test_*.py
files under tests
directory.
Note
Prior to Sphinx - 1.5.2, Sphinx was running the test with nose.
New in version 1.6: sphinx.testing
as a experimental.


| Methods |
public
|
__construct(array $properties = [])
Construct our property storage.
Construct our property storage.
Overriden by
|
#
|
public
|
all(string ...$exceptions): array
Return all the properties excluding exceptions.
Return all the properties excluding exceptions.
|
#
|
public
|
selected(string ...$keys): array
Return all the properties with the selection key in one array
Return all the properties with the selection key in one array
|
#
|
public
|
replace(array $properties): $this
Replace current properties with another.
Replace current properties with another.
|
#
|
public
|
keys(): array
Return all property names in the class.
Return all property names in the class.
|
#
|
public
|
set(string $key, mixed $value): static
Set a parameter into class property.
Set a parameter into class property.
|
#
|
public
|
merge(array $data): static
Set multiple properties and values.
Set multiple properties and values.
|
#
|
public
|
get(string $property): mixed
Get a property.
|
#
|
public
|
has(string $property): bool
Check if the class has a property.
Check if the class has a property.
|
#
|
public
|
empty(): bool
Check if the bag is empty.
Check if the bag is empty.
|
#
|
public
|
delete(string $property): static
Remove a property from the class.
Remove a property from the class.
|
#
|


Contact Information
If you have any comments, suggestions, or bug reports, drop me a line at<EMAIL_ADDRESS>You can visit the web site at www.neomem.org.


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Based in Chicago. I love playing tennis and loud music
I get my inspiration from nature and objects around me. I have a passion to colours, typography and skateboards.
I'm a happy person that loves cats and climbing on mountains.
Based in LA. Fan of movies an rock music


| DOSE: |
250 mg |
oral |
MDAI |
| |
100 mg |
insufflated |
MDAI |
Having been there and done it with pretty much the whole list of well publicised illegal’s, I have been recently, along with my best friend who is a year younger, and about the same weight as me, been trying a few of the RC's. Enjoyed Mephedrone, Methylone, although the older I get the worse the after effects of fatigue and comedown etc. My favorite drug nowadays is Ketamine as stimulants really aren't too 'life-practical'.
Anyway, we thought we'd give white MDAI a whirl as the many reports I had read described it as a non-neurotoxic selective serotonin reuptake inhibitor, with empathogen qualities and no stimulant effect.
We had eaten lunch around 2pm, it was now 7pm, and we ingested about 250mgs each.
The come up was subtle, and we both described it as 'feeling giddy', about an hour after ingestion. We felt light on our toes, generally in a good mood, no euphoria, and no empathy. The feeling would intensify sometimes into what could be described as a rush... Only without the rush.
Music sounded good, but only for a while. Without the empathy and euphoria, it was very easy to find fault in everything, or not find anything satisfying. There was definitely a feeling of confusion, without the sedation I had read about. It was a lot like being drunk, only without the feel-good factor.
We decided to snort a small line each about 100mg to try and get to the next level – should there be one. The line was quite horrible to snort.  Two days later and I am still experiencing discomfort. The extra MDAI enhanced the feeling we already had, but not sufficiently enough.
The feeling of almost being high, but not, proved to be a bit dull, so we decided to smoke a joint between us as well. After we walked around the building talking bizarre randoms, enjoying each others company, and having a good time, although I am absolutely certain this would have been the case on just the weed.
It was a particularly cold night/evening, and we went back to the apartment.
This is when the unpleasant side effects of MDAI started to demonstrate themselves.
We were both FREEEEEZZZING!!! The apartments heating was turned up to the max, the room was really warm, but we were both soooo cold. I could feel the heat radiating from my neck, face, underarms etc, but we were so cold. We sat in our coats, hats, earmuffs and gloves, anything laying around, trying to get warm. Then pretty much at the same time, we began to feel sick. Very nauseas. The sort of feeling you get when you have drunk too much alcohol, and everytime you close your eyes the room spins and you know it’s just a matter of time before you puke. The internal dialogue arguing the case for ‘feeling better once you do’… etc.
We kept ourselves hydrated drinking hot water, not able to stomach anything else.
We were watching TV by this point, and both of us suddenly developed a terrible head ache… In our necks. The pain went from the base of our necks - between the shoulder blades - and up to about the skulls halfway mark. REALLY uncomfortable, totally freezing for what was hours now. We smoked another joint which didn’t reverse the feeling, or have any effect at all, and continued to watch TV.
I was desperately tired, and feeling very unwell, but everytime I closed my eyes, the nausea came, and the pain in my head/neck made it very difficult to get comfortable, although by now it was 0200am and we were both feeling a bit warmer.
I did not get one wink of sleep that night. My friend managed a fitful hour. I lay wide awake as if I had been doing crank all night, felt really sick but wasn’t able to puke, and then at around 0600am, had two hours of extreme hot flushes. I was suddenly so hot, I half expected to fit.
I gave up on sleep and got up at 8am.
The end of the story is, we both felt terrible that day and head/neck ache is still lingering now, two days later. I got some sleep the following afternoon. But working last night was not easy.
Summary of my MDAI trip:
1. Was ice cold for 10 hours without any way of warming up
2.  Felt sick for 18 hours, not be able to eat, or puke
4.  Had a hot flush so intense I worried I might end up with brain damage
Yeah, great stuff.
I think for people who have never tried any ‘good stuff’, the pathetic high of MDAI might suffice, but in no way is it worth the downsides.
Happy travelling.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Superheroic Calculator
If A is
and B is
, then:
Operation
Result
{{operation.name}}:
{{operation.operator(a,b) | number:2}}


Welcome to LarCity's {{ site.vars.shortname }}!
This page will serve as documentation for our {{ site.vars.shortname }} toolkit (for want of a better term). To get started, a few answers...
Where can I get it?
Visit the repository on Github:
https://github.com/LarcityLab/AngularBits
So, why did we make {{ site.vars.shortname }}?
 In any trade,
if you practice your trade often, toolkits are a by-product of your work. What we mean is, we couldn't help it if we tried - {{ site.vars.shortname }} is
a by product of the work we do and love.
What is {{ site.vars.shortname }}?
{{ site.vars.shortname }} is a set of controllers, filters and services that our team has come to use frequently across our projects.
While they are not
quite plugin-ready yet, they present a model for accomplishing these tasks with AngularJS. Mostly, we're just super-excited that tasks which we
would pain-stakingly write pure JS or JQuery libraries to accomplish in the fast, listening for click events and such, can be accomplished
using AngularJS in a number of awesome ways depending on what makes sense for scoping, routing etc. of your app, AND can be extended like we've done with {{ site.vars.shortname }}
and re-used easily across applications with the same Architecture.
What is AngularJS?
Simply put, it's an awesome library from Google. It essentially brings MVC to the user interface in an elegant way - there are a number of other libraries
that do this by the way, but AngularJS right now, works great for our team at {{ site.vars.company_name }}.
Click for more on AngularJS.
Ok, enough Q/A.


int fits_get_num_rows / ffgnrw (fitsfile *fptr, > long *nrows, int *status); int fits_get_num_rowsll / ffgnrwll (fitsfile *fptr, > LONGLONG *nrows, int *status); int fits_get_num_cols / ffgncl (fitsfile *fptr, > int *ncols, int *status);
The input column name template may be either the exact name of the column to be searched for, or it may contain wild card characters (*, ?, or #), or it may contain the integer number of the desired column (with the first column = 1). The `*' wild card character matches any sequence of characters (including zero characters) and the `?' character matches any single character. The # wildcard will match any consecutive string of decimal digits (0-9). If more than one column name in the table matches the template string, then the first match is returned and the status value will be set to COL_NOT_UNIQUE as a warning that a unique match was not found. To find the other cases that match the template, call the routine again leaving the input status value equal to COL_NOT_UNIQUE and the next matching name will then be returned. Repeat this process until a status = COL_NOT_FOUND is returned.
The FITS Standard recommends that only letters, digits, and the underscore character be used in column names (with no embedded spaces). Trailing blank characters are not significant.
int fits_get_colnum / ffgcno (fitsfile *fptr, int casesen, char *templt, > int *colnum, int *status) int fits_get_colname / ffgcnn (fitsfile *fptr, int casesen, char *templt, > char *colname, int *colnum, int *status)
The 'repeat' parameter returns the vector repeat count on the binary table TFORMn keyword value. (ASCII table columns always have repeat = 1). The 'width' parameter returns the width in bytes of a single column element (e.g., a '10D' binary table column will have width = 8, an ASCII table 'F12.2' column will have width = 12, and a binary table'60A' character string column will have width = 60); Note that CFITSIO supports the local convention for specifying arrays of fixed length strings within a binary table character column using the syntax TFORM = 'rAw' where 'r' is the total number of characters (= the width of the column) and 'w' is the width of a unit string within the column. Thus if the column has TFORM = '60A12' then this means that each row of the table contains 5 12-character substrings within the 60-character field, and thus in this case this routine will return typecode = TSTRING, repeat = 60, and width = 12. (The TDIMn keyword may also be used to specify the unit string length; The pair of keywords TFORMn = '60A' and TDIMn = '(12,5)' would have the same effect as TFORMn = '60A12'). The number of substrings in any binary table character string field can be calculated by (repeat/width). A null pointer may be given for any of the output parameters that are not needed.
The second routine, fit_get_eqcoltype is similar except that in the case of scaled integer columns it returns the 'equivalent' data type that is needed to store the scaled values, and not necessarily the physical data type of the unscaled values as stored in the FITS table. For example if a '1I' column in a binary table has TSCALn = 1 and TZEROn = 32768, then this column effectively contains unsigned short integer values, and thus the returned value of typecode will be TUSHORT, not TSHORT. Similarly, if a column has TTYPEn = '1I' and TSCALn = 0.12, then the returned typecode will be TFLOAT.
int fits_get_coltype / ffgtcl (fitsfile *fptr, int colnum, > int *typecode, long *repeat, long *width, int *status) int fits_get_coltypell / ffgtclll (fitsfile *fptr, int colnum, > int *typecode, LONGLONG *repeat, LONGLONG *width, int *status) int fits_get_eqcoltype / ffeqty (fitsfile *fptr, int colnum, > int *typecode, long *repeat, long *width, int *status) int fits_get_eqcoltypell / ffeqtyll (fitsfile *fptr, int colnum, > int *typecode, LONGLONG *repeat, LONGLONG *width, int *status)
int fits_get_col_display_width / ffgcdw (fitsfile *fptr, int colnum, > int *dispwidth, int *status)
int fits_read_tdim / ffgtdm (fitsfile *fptr, int colnum, int maxdim, > int *naxis, long *naxes, int *status) int fits_read_tdimll / ffgtdmll (fitsfile *fptr, int colnum, int maxdim, > int *naxis, LONGLONG *naxes, int *status)
int fits_decode_tdim / ffdtdm (fitsfile *fptr, char *tdimstr, int colnum, int maxdim, > int *naxis, long *naxes, int *status) int fits_decode_tdimll / ffdtdmll (fitsfile *fptr, char *tdimstr, int colnum, int maxdim, > int *naxis, LONGLONG *naxes, int *status)
int fits_write_tdim / ffptdm (fitsfile *fptr, int colnum, int naxis, long *naxes, > int *status) int fits_write_tdimll / ffptdmll (fitsfile *fptr, int colnum, int naxis, LONGLONG *naxes, > int *status)


Use the README file to run the game
Play it for a few minutes to understand the objects being used and the dynamics of the game.
Look at js/config.js
and edit the numbers to see what changes in the game. Try and:
Look in the js/index.js
file and look for a laser variable that has been commented out. Try uncommenting it and finding the line where it plays (HINT: Space key shoots on buttonDown
)
Try changing the sound to a different mp3 downloaded from the web and copied into the audio
folder
Find a way to score the most without just setting a high start score
Try and change the speed of the enemy bullets
Whatever else you want to do, ask us and we can help
Consider this course. We hope to see you in 2016!


{include file="public/nav-top" /} {include file="public/nav-left" /}
推广平台
{include file="public/footer" /}


WEEK 5
".each_slice"
JANUARY 10, 2016
Definition from the doc.
"Iterates the given block for each slice of
So when I was working on 5.6 Create Accountability Groups where we had to split an array of people into a groups of 5, 4, or 3 at the minimum, my initial solution was very very long. I had several counters and a large case statement. Take a look at my initial's giant blob of code below.
def ag_creator(cohort) size = cohort.size ag = 1 cc = cohort[0...5] if size > 0 noc = size / 5 rm = size % 5 if rm < 3 noc += 1 end end while noc > 0 case ag when 1 cc = cohort[0...5] when 2 cc = cohort[6...11] when 3 cc = cohort[12...17] when 4 cc = cohort[18...23] when 5 cc = cohort[24...29] when 6 cc = cohort[30...35] when 7 cc = cohort[36...41] when 8 cc = cohort[42...47] when 9 cc = cohort[48...51] when 10 cc = cohort[52...56] end puts "Accountability Group #{ag} members are: #{cc}." noc -= 1 ag += 1 end end ag_creator(cohort)
This solution somewhat worked and with a little more tweaking could've gotten the job done. I know it's very messy, it's a fixer-upper of a solution. This brings me to ".grep" and the refactored solution I ended up actually using.
def ag(cohort) i = 1 cohort.each_slice(4) do |a,b,c,d| puts "Accountability Group #{i} members are #{[a,b,c,d]}" i += 1 end end ag(cohort)
This looks a lot better doesn't it? My ag method splits the cohort array into equal groups of 4. The ".each_slice" method basically takes the argument number of elements and returns an array. In this case it takes the first four, creates an array of them, and proceeds to the next four elements until there are none left. If there are fewer remaining elements than the argument number, then it'll put all remaining elements into the last array. Not sure if that all makes complete sense, but hopefully that gives you some kind of idea as to how I used ".each_slice".


---
layout: page
title: Who to follow
description: A list of people, companies, and meetup groups to follow in web accessibility and web standards.
permalink: follow.html
---
{% for category in site.data.follow %}
{{ category.category }}
{% assign sorted_links = category.links | sort: 'name' %}
{% for link in sorted_links %}


Question 8: Click event not working on element which added dynamicly or via script, make it work using .on method


Reports ObjectAnimator usages which involve reflection.
Reflection is error-prone, dynamically typed, and unfriendly for analysis/obfuscation/optimization/shrinking.