Torque 2D – The common Folder
When you package a Torque 2D project, the common folder will be included with your project-specific folder. This common folder contains many scripts and other resources that T2D requires for most applications. Sometimes, you will want to edit these resources or examine them to understand exactly what they are doing. This document will give you a general idea of what you will find in common.
When you package your project, only the compiled script files will be included in the common folder. In order to view or make changes to these scripts, you must look in the common folder in your Torque2D/games folder.
This folder contains folders for various non-script data files that are used by T2D.
This folder contains standard sound files. T2D can load .ogg and .wav files.
This folder contains standard font files.
This folder contains help files in the .hfl format (.hfl files uses a html like syntax). This format can be viewed with a text editor.
This folder contains many scripts that are used by T2D games. It includes the client and server folders that are used for networking.
|
common/gameScripts Folder |
|
|
Script File |
Synopsis |
|
audio.cs |
Audio and OpenAL setup |
|
canvas.cs |
Functions for the T2D canvas (the overall display window) |
|
common.cs |
Loads all files in the common folder |
|
cursor.cs |
Cursor (mouse pointer) functions |
|
keybindings.cs |
T2D keybinding (keyboard/mouse/joystick) interface |
|
levelManagement.cs |
Setting up and cleaning up game levels |
|
metrics.cs |
Utilities for various metric (status) callbacks |
|
options.cs |
Used by the Options dialog (for resolution, sound etc.) |
|
projectManagement.cs |
Setting up and cleaning up projects |
|
projectResources.cs |
Setting up and cleaning up resources |
|
screenshot.cs |
Capturing screenshots and movies |
|
scriptDoc.cs |
Outputting script functions and classes to a file |
This folder contains files that are used by the clients in a networked game.
|
common/gameScripts/client Folder |
|
|
Script File |
Synopsis |
|
chatClient.cs |
Clientside chat utilities |
|
client.cs |
Connecting to the server |
|
message.cs |
Handling messages from the server |
|
serverConnection.cs |
Dealing with server connections (connect errors, connection dropped etc.) |
This folder contains files that are used by the server in a networked game.
|
common/gameScripts/server Folder |
|
|
Script File |
Synopsis |
|
banlist.cs |
Contains a list of banned clients, if there is one |
|
chatServer.cs |
Serverside chat utilities |
|
clientConnection.cs |
Dealing with client connections (requests, drops etc.) |
|
kickban.cs |
Kicks off and bans clients |
|
message.cs |
Sending messages to the clients |
|
server.cs |
Setting up and cleaning up the server |
This folder contains standard Torque 2D GUIs that are used by most games. It also contains script files and a folder of images that are used by those GUIs. The .gui files in this folder have fairly self-explanatory names, and can be examined from the GUI editor. It is highly recommended that you make backup copies of any GUIs you edit.
|
common/gui Folder |
|
|
Script File |
Synopsis |
|
cursors.cs |
Loads the standard cursor |
|
help.cs |
For HelpDlg.gui |
|
messageBox.cs |
For all the standard message box GUIs |
|
profiles.cs |
Contains all the standard text formatting options for GUIs |
This folder contains all the images used by standard Torque 2D GUIs
This folder contains the preferences for your project as well as T2D keybindings.
|
common/preferences Folder |
|
|
Script File |
Synopsis |
|
bind.cs |
T2D keybindings |
|
defaultPrefs.cs |
The default preferences... will be used the first time this project is run |
|
prefs.cs |
Current preferences... this file is altered/created when the user sets up preferences, such as screen resolution or sound volume. |


They are essentially the same thing!
Try at least one of the self awareness practices from the chapter (Body Scan, Journaling). What was your experience of it? How did you feel?I tried the body scan exercise for two reasons, I have a hard time writing things on paper although the studies behind journaling is mind blowing and I have trouble shutting my brain off when going to bed and the idea that body scanning was able to rest the body and mind intrigued me. So I tried it before going to bed one evening and I found it useful to draw attention to different parts of the body. Especially the my back because as it mentioned in SIY it carries a lot of tension and I felt there was a lot of tension there. I also found different emotions arising while I was doing the body scanning excersice most of them negative and that's not a great way to feel before going to bed, maybe that's why I have trouble sleeping.
What did you take away from the "My Emotions are Not Me" section?That if you can distinguish that your emotions are not who you are you can take action on them and take control of your emotions and not let it affect you.


tatk.e2e.rnn_rollout.models package¶
Submodules¶
tatk.e2e.rnn_rollout.models.attn module¶
-
class
tatk.e2e.rnn_rollout.models.attn.
Attention
(query_size, value_size, hid_size, init_range)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(query_size, value_size, hid_size, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(q, v, mask=None)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_attn
(h)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
BiRnnAttention
(query_size, value_size, hid_size, dropout, init_range)¶ Bases:
tatk.e2e.rnn_rollout.models.attn.ChunkedAttention
-
__init__
(query_size, value_size, hid_size, dropout, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
flatten_parameters
()¶
-
forward
(query, fwd_inpts, fwd_lens, rev_idxs, hid_idxs)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_attn
(query, fwd_hs, bwd_hs, lens)¶
-
forward_rnn
(rnn, inpts, lens, hid_idxs)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
ChunkedAttention
(query_size, value_size, hid_size, init_range)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(query_size, value_size, hid_size, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
make_mask
(fwd_hs, lens)¶
-
reverse
(fwd_inpts, fwd_lens, rev_idxs)¶
-
zero_h
(bsz, n=1)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
HierarchicalAttention
(query_size, value_size, hid_size, dropout, init_range)¶ Bases:
tatk.e2e.rnn_rollout.models.attn.ChunkedAttention
-
__init__
(query_size, value_size, hid_size, dropout, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
flatten_parameters
()¶
-
forward
(query, fwd_inpts, fwd_lens, rev_idxs, hid_idxs)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_sent_attn
(query, word_hs)¶
-
forward_word_attn
(query, fwd_word_hs, bwd_word_hs, ln, rev_idx, hid_idx)¶
-
forward_word_rnn
(rnn, bsz, inpts, lens, rev_idxs, hid_idxs)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
KeyValueAttention
(query_size, key_size, value_size, hid_size, init_range)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(query_size, key_size, value_size, hid_size, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(q, k, v, mask=None)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_attn
(h)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
MaskedAttention
(query_size, value_size, hid_size, init_range)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(query_size, value_size, hid_size, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(q, v, ln=None)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
make_mask
(v, ln)¶
-
-
class
tatk.e2e.rnn_rollout.models.attn.
SentenceAttention
(query_size, value_size, hid_size, dropout, init_range)¶ Bases:
tatk.e2e.rnn_rollout.models.attn.ChunkedAttention
-
__init__
(query_size, value_size, hid_size, dropout, init_range)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
flatten_parameters
()¶
-
forward
(query, fwd_inpt, fwd_len, rev_idx, hid_idx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_word_attn
(query, fwd_word_hs, bwd_word_hs, ln, rev_idx, hid_idx)¶
-
forward_word_rnn
(rnn, bsz, inpts, lens, rev_idxs, hid_idxs)¶
-
tatk.e2e.rnn_rollout.models.ctx_encoder module¶
Set of context encoders.
-
class
tatk.e2e.rnn_rollout.models.ctx_encoder.
MlpContextEncoder
(n, k, nembed, nhid, dropout, init_range, skip_values=False)¶ Bases:
torch.nn.modules.module.Module
Simple encoder for the dialogue context. Encoder counts and values via MLP.
-
__init__
(n, k, nembed, nhid, dropout, init_range, skip_values=False)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(ctx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
tatk.e2e.rnn_rollout.models.latent_clustering_model module¶
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
BaselineClusteringModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
corpus_ty
¶
-
decode_sentence
(inpt_emb, cond_h)¶
-
embed_sentence
(inpt)¶
-
flatten_parameters
()¶
-
forward
(inpts, tgts, hid_idxs, ctx, cnt)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_decoder
(inpt, cond_h)¶
-
forward_encoder
(inpt, hid_idx)¶
-
forward_marginal_loss
(p_z, inpt, tgt, cnt)¶
-
forward_memory
(mem_h, inpt, hid_idx)¶
-
init_memory
(ctx_h)¶
-
read
(inpt, mem_h)¶
-
unembed_sentence
(dec_hs)¶
-
word2var
(word)¶
-
write
(cond_h, max_words, temperature, start_token='YOU:', stop_tokens=['<eos>', '<selection>'])¶
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
LatentClusteringLanguageModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
corpus_ty
¶
-
decode_sentence
(inpt_emb, cond_h)¶
-
embed_sentence
(inpt)¶
-
encode_sentence
(inpt_emb, hid_idx, enc_h)¶
-
engine_ty
¶ alias of
tatk.e2e.rnn_rollout.engines.latent_clustering_engine.LatentClusteringLanguageEngine
-
flatten_parameters
()¶
-
forward
(inpts, tgts, sel_tgt_probs, hid_idxs, ctx, cnt)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_decoder
(inpt, cond_h)¶
-
forward_encoder
(inpt, hid_idx, enc_h)¶
-
unembed_sentence
(dec_hs)¶
-
word2var
(word)¶
-
write
(cond_h, max_words, temperature, start_token='YOU:', stop_tokens=['<eos>', '<selection>'])¶
-
zero_grad
()¶ Sets gradients of all model parameters to zero.
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
LatentClusteringModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
corpus_ty
¶
-
decode_sentence
(inpt_emb, mem_h)¶
-
embed_sentence
(inpt)¶
-
encode_sentence
(inpt_emb, hid_idx)¶
-
flatten_parameters
()¶
-
forward
(inpts, tgts, sel_tgt_probs, hid_idxs, ctx, cnt)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_decoder
(inpt, mem_h)¶
-
forward_e_step
(z_prob, mem_h, inpt, tgt, sel_tgt_prob, cnt)¶
-
forward_encoder
(ctx_h, inpt, hid_idx)¶
-
unembed_sentence
(dec_hs)¶
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
LatentClusteringPredictionModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
clear_weights
()¶
-
corpus_ty
¶
-
embed_sentence
(inpt)¶
-
encode_sentence
(inpt_emb, hid_idx)¶
-
engine_ty
¶ alias of
tatk.e2e.rnn_rollout.engines.latent_clustering_engine.LatentClusteringPredictionEngine
-
flatten_parameters
()¶
-
forward
(inpts, tgts, hid_idxs, ctx, cnt)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_encoder
(ctx_h, inpt=None, hid_idx=None)¶
-
forward_kldiv
(inpts, tgts, sel_tgt_probs, hid_idxs, ctx, cnt)¶
-
forward_marginal_loss
(q_z, lang_enc_h, inpt, tgt, cnt)¶
-
forward_memory
(ctx_h, mem_h=None, inpt=None, hid_idx=None)¶
-
forward_prediction
(cnt, mem_h, sample=False)¶
-
forward_prediction_multi
(cnt, mem_h, num_samples, sample=False)¶
-
forward_validation
(inpts, tgts, hid_idxs, ctx, cnt)¶
-
forward_validation_marginal
(inpts, tgts, hid_idxs, ctx, cnt)¶
-
read
(inpt, lang_enc_h, mem_h, ctx_h)¶
-
write
(lang_enc_h, lat_h, max_words, temperature, start_token='YOU:', stop_tokens=['<eos>', '<selection>'])¶
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
RecurrentUnit
(input_size, hidden_size, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(input_size, hidden_size, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(x, h)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
ShardedLatentBottleneckModule
(num_shards, num_clusters, input_size, output_size, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(num_shards, num_clusters, input_size, output_size, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(shard, key)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
select
(shard, idx)¶
-
select_shard
(shard)¶
-
zero_grad
()¶ Sets gradients of all model parameters to zero.
-
-
class
tatk.e2e.rnn_rollout.models.latent_clustering_model.
SimpleSeparateSelectionModule
(input_size, hidden_size, output_size, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(input_size, hidden_size, output_size, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
flatten_parameters
()¶
-
forward
(h)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
tatk.e2e.rnn_rollout.models.modules module¶
Helper functions for module initialization.
-
class
tatk.e2e.rnn_rollout.models.modules.
CudaModule
(device_id)¶ Bases:
torch.nn.modules.module.Module
A helper to run a module on a particular device using CUDA.
-
__init__
(device_id)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
to_device
(m)¶
-
-
class
tatk.e2e.rnn_rollout.models.modules.
MlpContextEncoder
(n, k, nembed, nhid, init_range, device_id)¶ Bases:
tatk.e2e.rnn_rollout.models.modules.CudaModule
A module that encodes dialogues context using an MLP.
-
__init__
(n, k, nembed, nhid, init_range, device_id)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(ctx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
-
class
tatk.e2e.rnn_rollout.models.modules.
RnnContextEncoder
(n, k, nembed, nhid, init_range, device_id)¶ Bases:
tatk.e2e.rnn_rollout.models.modules.CudaModule
A module that encodes dialogues context using an RNN.
-
__init__
(n, k, nembed, nhid, init_range, device_id)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(ctx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
-
tatk.e2e.rnn_rollout.models.modules.
init_cont
(cont, init_range)¶ Initializes a container uniformly.
-
tatk.e2e.rnn_rollout.models.modules.
init_rnn
(rnn, init_range, weights=None, biases=None)¶ Initializes RNN uniformly.
-
tatk.e2e.rnn_rollout.models.modules.
init_rnn_cell
(rnn, init_range)¶ Initializes RNNCell uniformly.
tatk.e2e.rnn_rollout.models.rnn_model module¶
-
class
tatk.e2e.rnn_rollout.models.rnn_model.
RnnModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
corpus_ty
¶ alias of
tatk.e2e.rnn_rollout.data.WordCorpus
-
engine_ty
¶
-
flatten_parameters
()¶
-
forward
(inpt, ctx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_context
(ctx)¶
-
forward_lm
(inpt_emb, lang_h, ctx_h)¶
-
forward_selection
(inpt_emb, lang_h, ctx_h)¶
-
generate_choice_logits
(inpt, lang_h, ctx_h)¶
-
init_weights
()¶
-
read
(inpt, lang_h, ctx_h, prefix_token='THEM:')¶
-
score_sent
(sent, lang_h, ctx_h, temperature)¶
-
word2var
(word)¶
-
write
(lang_h, ctx_h, max_words, temperature, stop_tokens=['<eos>', '<selection>'], resume=False)¶ Generate a sentence word by word and feed the output of the previous timestep as input to the next.
-
write_batch
(bsz, lang_h, ctx_h, temperature, max_words=100)¶
-
zero_h
(bsz, nhid=None, copies=None)¶
-
tatk.e2e.rnn_rollout.models.selection_model module¶
-
class
tatk.e2e.rnn_rollout.models.selection_model.
SelectionModel
(word_dict, item_dict, context_dict, count_dict, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(word_dict, item_dict, context_dict, count_dict, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
corpus_ty
¶
-
engine_ty
¶ alias of
tatk.e2e.rnn_rollout.engines.selection_engine.SelectionEngine
-
flatten_parameters
()¶
-
forward
(inpts, lens, rev_idxs, hid_idxs, ctx)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
forward_each_timestamp
(inpts, lens, rev_idxs, hid_idxs, ctx)¶
-
forward_inpts
(inpts, ctx_h)¶
-
-
class
tatk.e2e.rnn_rollout.models.selection_model.
SelectionModule
(query_size, value_size, hidden_size, selection_size, num_heads, output_size, args)¶ Bases:
torch.nn.modules.module.Module
-
__init__
(query_size, value_size, hidden_size, selection_size, num_heads, output_size, args)¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
flatten_parameters
()¶
-
forward
(q, hs, lens, rev_idxs, hid_idxs)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
tatk.e2e.rnn_rollout.models.utils module¶
A set of useful tools.
-
tatk.e2e.rnn_rollout.models.utils.
init_cont
(cont, init_range)¶ Uniform initialization of a container.
-
tatk.e2e.rnn_rollout.models.utils.
init_linear
(linear, init_range)¶ Uniform initialization of Linear.
-
tatk.e2e.rnn_rollout.models.utils.
init_rnn
(rnn, init_range, weights=None, biases=None)¶ Orthogonal initialization of RNN.
-
tatk.e2e.rnn_rollout.models.utils.
init_rnn_cell
(rnn, init_range)¶ Orthogonal initialization of RNNCell.
-
tatk.e2e.rnn_rollout.models.utils.
make_mask
(n, marked, value=-1000)¶ Create a masked tensor.


Traffic Assignment frameworK (TAsK)
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Go to the textual class hierarchy
Generated on Tue Mar 10 2015 15:45:17 for Traffic Assignment frameworK (TAsK) by
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See:
Description
| Interface Summary | |
| OJMember | The class OJMember is equivalent to Member |
| Class Summary | |
| AnonymousClassEnvironment | |
| ClassEnvironment | |
| ClosedEnvironment | The class ClosedEnvironment
|
| Environment | |
| FileEnvironment | The class FileEnvironment
|
| GlobalEnvironment | |
| Metaclass | The class Metaclass is a metametaclass for metaclasses. |
| MetaInfo | The class MetaInfo
|
| OJClass | The OJClass class represents a class metaobject. |
| OJConstructor | |
| OJField | |
| OJMethod | |
| OJModifier | The class OJModifier extends
java.lang.relfect.Modifier to support user defined
keywords. |
| OJPrimitive | Deprecated. |
| OJSystem | The class OJSystem
|
| Signature | The class Signature represents a signature of members of
class; innerclass, field, method, or constructor. |
| Toolbox | The class Toolbox is an utility class. |
| Exception Summary | |
| AmbiguousClassesException | The exception AmbiguousClassesException is thrown if the
additional OJClass object has the same name with another
OJClass object's. |
| CannotAlterException | CannotAlterException is thrown if the requested change cannot be performed on the class object, the method object, or the field object. |
| CannotExecuteException | CannotExecuteException is thrown if the requested introspection cannot be performed on the class object, the method object, or the field object, which needs a java's Class object not available. |
| CannotInspectException | The exception CannotInspectException is thrown if the
requested introspection cannot be performed on the class object,
the method object, or the field object. |
| MOPException | MOPException is thrown if the requested introspection or intercession cannot be performed on the class, field, method or constructor object. |
| NoSuchMemberException | The exception NoSuchMemberException is thrown
when the requested class object does not have the coressponding
member. |
| OJClassNotFoundException | The exception OJClassNotFoundException is thrown
when an application tries to load in a class through its
string name using forName method in class OJClass. |
Provides classes that are fundamental to the design of the OpenJava Meta-Object Protocols (MOP).
OpenJava is an extensible language based on Java. The extended features of OpenJava are specified by a meta-level program given at compile time. For distinction, programs written in OpenJava are called base-level programs. If no meta-level program is given, OpenJava is identical to regular Java.
The meta-level program extends OpenJava through the interface called the OpenJava MOP (Metaobject Protocol). The OpenJava compiler consists of three stages: preprocessor, source-to-source translator from OpenJava to Java, and the back-end Java compiler. The OpenJava MOP is an interface to control the translator at the second stage. It allows to specify how an extended feature of OpenJava is translated into regular Java code.
An extended feature of OpenJava is supplied as an add-on software for the compiler. The add-on software consists of not only the meta-level program but runtime support code. The runtime support code provides classes used by the base-level program translated into Java. The base-level program in OpenJava is first translated into Java by the meta-level program and is dynamically linked with the runtime support code.
The meta-level program is written in Java, accurately in OpenJava because OpenJava is a self-reflective language. It defines new metaobjects to control source-to-source translation. The metaobjects are the meta-level representation of the base-level program and they perform the translation. Details of the metaobjects are specified by the OpenJava MOP. In the following, we go through a few examples so that we illustrate how the OpenJava MOP is used to implement language extensions.
Class
,
java.lang.reflect
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LCMS (Top 20K) |
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|
LCMS (Top 200K) |
|
|
| BPI |
|
|
| TIC |
|
| Scan Type | Scan Count | Scan Filter Text |
| HMS | 7488 | FTMS + p NSI Full ms |
| HCD-HMSn | 43120 | FTMS + c NSI d Full ms2<EMAIL_ADDRESS>|
|
| |
DMS Dataset Detail Report |
Dataset Info XML file |
| |
| Device Type: | Mass Spectrometer |
| Name: | Orbitrap Fusion Lumos |
| Model: | Orbitrap Fusion Lumos |
| Serial: | FSN20330 |
| Software Version: | 2.1.1565.23 |
|


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The 50-year-old musician shared a video on Instagram of Porter, a model and actress, playing the piano as a dog barks along.
KELLEIGH BANNEN SAYS HER DEBUT ALBUM WAS NEARLY 10 YEARS IN THE MAKING
"I MISS YOU SOOOOOO MUCH. So much 💔," the caption reads. "Every time I get sad I look at this video and it brings a smile to my face. I THANK GOD FOR THE PRECIOUS TIME HE ALLOWED US TO HAVE WITH YOU."
Porter died Nov. 15, 2018, of lobar pneumonia. In 1994, Diddy adopted Porter's then-3-year-old son, Quincy, who is now 28.
  NEVER!!! Love you forever Kimberly Antwinette Goodwin Porter. ❤"
Diddy's famous companions were quick to offer support, such as Rita Ora who commented "❤❤❤."
Busta Rhymes also commented with a string of emojis to show support: "🙏🏿🙏🏿🙏🏿🙏🏿🙏🏿🙏🏿🙏🏿."
CLICK HERE TO GET THE FOX NEWS APP
These days, Diddy largely focuses on producing music, but in August, he released a single with Wax Motif called "Divided Souls."


LudhianJS is the first JavaScript Conference of North India. We have talks on various JS topics from Web, Mobile, Hardware, NodeJS etc. Join Us for great Learning Experience.


* = call ( getResourceFromName("ajax"), "start", getResourceName(getThisResource()) ) *>
This page show players last actions.
Time
Mode
Player nick
Message


Do you like to interact with like minded people, and want to learn and share new technology and development hacks?
Developers Chat Room feature of DEVASSIST provides a platform for live group chating with developers to share their thoughts.
Now you don't have to wait for the answer solutions after posting doubts on stackOverflow, just drop a message in the chat room and get to discuss it instantly with others.


SESSION NAME: #{helloBackingBean.name}
Pearl Jam is an American rock band, formed in Seattle, Washington, in 1990. Since its inception, the band's line-up has comprised Eddie Vedder (lead vocals), Mike McCready (lead guitar), Stone Gossard (rhythm guitar) and Jeff Ament (bass). The band's fifth member is drummer Matt Cameron (also of Soundgarden), who has been with the band since 1998. Boom Gaspar (piano) has also been a session/touring member with the band since 2002. Drummers Dave Krusen, Matt Chamberlain, Dave Abbruzzese and Jack Irons are former members of the band.
Formed after the demise of Gossard and Ament's previous band, Mother Love Bone, Pearl Jam broke into the mainstream with its debut album, Ten, in 1991. One of the key bands in the grunge movement of the early 1990s, over the course of the band's career, its members became noted for their refusal to adhere to traditional music industry practices, including refusing to make proper music videos or give interviews, and engaging in a much-publicized boycott of Ticketmaster. In 2006, Rolling Stone described the band as having "spent much of the past decade deliberately tearing apart their own fame."
To date, the band has sold nearly 32 million records in the U.S. and an estimated 60 million worldwide. Pearl Jam has outlasted and outsold many of its contemporaries from the alternative rock breakthrough of the early 1990s, and is considered one of the most influential bands of that decade. Stephen Thomas Erlewine of AllMusic referred to Pearl Jam as "the most popular American rock e roll band of the '90s."
| Name | Year |
|---|---|
| Ten | 1991 |
| Vs. | 1993 |
| Vitalogy | 1994 |
| No code | 1996 |
| Yield | 1998 |
| Binaural | 2000 |
| Riot Act | 2002 |
| Pearl Jam | 2006 |
| Backspacer | 2009 |
| Lightning Bolt | 2013 |


These are several funny quotes i have collected from the 2005 movie "Hitchhikers Guide to the Galaxy"
Next Quote


|
Elektra
0.8.17
|
In Elektra multiple keys may refer to the same part of the configuration. A namespace is the part of the key that refers to the key's origin (like a unique path).
Possible sources are:
Having namespaces enables both admins and users to set specific parts of the application's configuration.
Let's say your app requires the following configuration data:
We now want to enter this configuration by using the kdb tool.
The security policy will most probably be set by your system administrator. So she enters
sudo kdb set "system/sw/org/myapp/policy" "super-high-secure"
The key system/app/policy will be stored in the system namespace (probably at /etc/kdb on a Linux/UNIX system).
Then the user sets his app directory by issuing:
kdb set "user/sw/org/myapp/default_dir" "/home/user/.myapp"
This key will be stored in the user namespace (at the home directory) and thus may vary from user to user. Elektra loads the value for the current user and passes it to the application.
You can also retrieve the values in the command line by using the kdb tool:
kdb get system/sw/org/maypp
Cascading keys are keys that start with **/** and are a way of making key lookups much easier. Let's say you want to load the configuration from the example above. You do not need to search every namespace by yourself. Just make a lookup for **/sw/org/myapp**, like this:
kdb get /sw/org/myapp/policy kdb get /sw/org/myapp/default_dir
When using cascading key the best key will be searched at runtime. If you are only interested in the system key, you would use:
kdb get system/sw/org/myapp/policy
The idea is to call kdbGet() to retrieve the root key for the application. Looking for a specific part of the configuration is done by ksLookup().
The documentation provides the following example to illustrate the intended usage. If you want to use a cascading key (starting with /), you use the ksLookup() or ksLookupByName() function (also see doxygen ):
if (kdbGet(handle, myConfig, p=keyNew("/sw/org/myapp", KEY_END)) == -1) errorHandler ("Could not get Keys", parentKey); if ((myKey = ksLookupByName (myConfig, "/sw/org/myapp/mykey", 0)) == NULL) errorHandler ("Could not Lookup Key");


As a food blogger, you want to be able to show off your work and recipes. You have a lot of amazing pics from the recipes you've created and you would like to share them with potential clients, but need a professional site to do so.
Chef Portfolio allows you to have a professional site to where you can share your creations with the world, and more importantly with potential clients. We have all the tools you'll need to select a profile template, upload images of your creations, and showcase your recipes. All of this is made simple so you spend less time tinkering with a website, and more time creating in the kitchen.


Backtesting mode
4000 symbols of futures contracts from Jan 2009 to now provided by AlgoSeek.Quotes and trades with tick, second, minute resolutions are available.
Live mode
Live tick data from Interactive Brokers are available. You MUST have a valid data subscription with IB).
// Complete Add Future API - Including Default Parameters: AddFuture(string symbol, Resolution resolution = Resolution.Minute, string market = null, bool fillDataForward = true, decimal leverage = 0m)By default, the futures universe is filtered down to contracts that expire within 35 days. A difference set of contracts can be chosen with the
SetFilter
method:
var future = AddFuture(Futures.Indices.SP500EMini); future.SetFilter(TimeSpan.FromDays(30), TimeSpan.FromDays(180));
Quotes and trades can be accessed in the Slice object in OnData event handler.
The FuturesChains member contains a FutureChain object for each subscribed future:
// In Initialize FutureSymbol = future.Symbol; // In OnData FuturesChain chain; slice.FuturesChains.TryGetValue(FutureSymbol, out chain);An FuturesChain object has information about the undelying and futures contracts that were filtered by
SetFilter
:
var underlying = chain.Underlying; var contracts = chain.Contracts;
Finally, we can use Linq to select the contract(s) we want to trade.


WITNESS LIST Appropriations-S/C on Regulatory Committee February 8, 1999-8:00A Budget For: Jones, Nancy (Texas Air Conditioning Contractors Association) Noble, Shannon (Texas Air Conditioning Contractors Association) Osgood, John (Texas Air Conditioning Contractors Association) On: Bailey-Taylor, Shelia (State Office of Administrative Hearings) Combs, Susan (Texas Department of Agriculture) Deviney, Lee (Texas Department of Agriculture) Ghiglieri, Catherine (Texas Department of Banking) Martin, Rachelle (Texas Department of Licensing and Regulation) Nance, Patrice (Texas Department of Licensing and Regulation) Pettijohn, Leslie (Consumer Credit Commission) Pledger, Jim (Texas Savings and Loan Department) Rhea, Glenna (Texas Department of Agriculture) Riley, Len (Texas Workers' Compensation Commission) Yeager, Lisabeth (State Office of Administrative Hearings)


Dear Papa,
It's been a very interesting ride that you've had through your life so far. Simply put, I want you to know that many people, especially your family are thankful for what you have done for us.  Thank you, truly, for everything that you've done to help those close to you, know that when I grow up, I will follow your footsteps in giving the best for those close to me. I am prouder than any son on Earth to have you as my dad.
Love,
Darryl


| Column 1 | Column 2 | Column 3 |
|---|---|---|
| Item | Description | Description |
| Item | Description | Description |
| Item | Description | Description |
| Item | Description | Description |
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.
Phosfluorescently engage worldwide methodologies with web-enabled technology. Interactively coordinate proactive e-commerce via process-centric "outside the box" thinking. Completely pursue scalable customer service through sustainable potentialities.
Select boxes are powered by Bootstrap Select. More examples at http://silviomoreto.github.io/bootstrap-select/examples/
Tooltips are powered by powerful tippy.js tooltip library. More examples at https://atomiks.github.io/tippyjs/
Etiam elit est, tincidunt non tincidunt This is sup element elit, sed do. Mauris aliquet ultricies This is sub element volutpat ipsum hendrerit sed neque sed sapien rutrum laoreet justo ut labolore magna aliqua. This is deleted element enim ad minim veniam. Lorem ipsum elit mark element with “color” class., consectetur adipisicing. Lorem dfn element here ipsum dosectetur tincidunt sit amet, strong text. Aliquam eu id lectus. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia. Lorem ipsum dosectetur Some code text
velit sagittis, abbreviation elit est highlighted text by using “mark” tag.


Markovtsev Vadim
Web Programming @ MIPT, 2015-2016
See the Pen Angular JS - Basic app by eMaj (@eMaj) on CodePen.
See the Pen Starter from Ember.js Website by Vadim Markovtsev (@vmarkovtsev) on CodePen.
See the Pen Hello Backbone.js by Christian Fleschhut (@cfleschhut) on CodePen.
See the Pen React To-Do List JSX by Mark Funk (@mfunkie) on CodePen.
<!-- ... = //cdn.rawgit.com/download/polymer-cdn/1.1.4/lib -->
<!-- Polyfill Web Components support for older browsers -->
<script src=".../webcomponentsjs/webcomponents-lite.min.js"></script>
<!-- Import element -->
<link rel="import" href=".../google-map/google-map.html">
<!-- Use element -->
<google-map latitude="55.930194" longitude="37.517952"></google-map>


Vasont.Inspire.Models
Vasont Systems Inspire Models Library
This repository (Vasont.Inspire.Models) is where we (Vasont Systems) develop the Vasont Inspire Models library. The source code here is available to everyone under the standard Apache 2.0 license.
Contributing
There are many ways in which you can participate in the project, for example:
- Submit bugs and feature requests, and help us verify as they are checked in.
- Review source code changes.
- Review the documentation and make pull requests for anything from typos to new content.
If you are interested in fixing issues and contributing directly to the code base, please see the document How to Contribute, which covers the following:
- How to build and run from source
- The development workflow, including debugging and running tests.
- Coding and style guidelines
- Submitting code changes (pull requests)
- Contributing to translations
Feedback
- Ask a question on Stack Overflow
- Request a new feature.
- Up vote popular feature requests.
- File an issue.
- Follow @VasontSystems and let us know what you think!
Related Projects
Many of the core components to the Vasont Inspire Models library live in their own repositories on GitHub and/or are Nuget.org Packages. For example, the Vasont.Inspire.Core is a core library nuget package used in the Models library and Vasont Inspire application.
Code of Conduct
This project has adopted the Vasont Systems Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact<EMAIL_ADDRESS>with additional questions or comments.
License
Copyright © Vasont Systems. All rights reserved.


The wind rose maps in the weak case ( a) and the strong case ( b) over Baoshan station (color bars represent different wind speed). The wind direction and wind speed data were measured at Shanghai Baoshan Climate Observatory. The maps were generated using NCL software [The NCAR Command Language (Version 6.3.0) [Software]. (2015). Boulder, Colorado: UCAR/NCAR/CISL/TDD. 10.5065/D6WD3XH5].


{% extends "base.html"%} {% block title %}Error 400 | {% endblock %} {% block container %}
Please go to home page
Home


Author Name: Taylor Hillis Date: 1/17/21 Course: CIS155 19056 - W21 - Web Development I
In V1 of my project four different HTML pages were created. Those pages were index.html, about.html, ships.html, and sources.html. The CSS that is being used is meant to give the website some unique style. In V2 of my project no new HTML pages were created. The changes to the pages were the additon of an image map on about.html, the images on the pages were also resized. The CSS was changed to include a reset style sheet, a background image was also added to all of the pages. Some of the veroius styles were also altered. In V3 of my project one new HTML pages was created. That page was donations.html. the changes to the CSS were used to estsablish a table in in donations.html.
Click on the picture to go to its page! //Please note there is no page yet.//


6/F Jianxing Technology Building,Nanshan District,Shenzhen,China.
Thinkpower Building,Hongdehui Industrial Park,Longgang District,Shenzhen,China.
801 Room,Sunny World 2,Jianye District,Nanjing,Jiangshu Province,China.
© Copyright 2017 Shenzhen Think Power Electronics Co., Ltd | ALL RIGHTS RESERVED.


We've payed a great deal of attention creating an understandable documentation which makes it clear even if you are not an experienced developer.
Using this generator it's pretty straightforward. We did our best describing all the components, guiding you from step A to Z in an comprehensive manner.
We've made some videos guiding you how to use the generator, presenting the components and how to modify them...
We love what we did and we want this to be used by as many people as possible. Therefore, we offer you our help solving whatever problem you might encounter.


Welcome to the Undocumented Student Program Wiki!
UC Berkeleys Undocumented Student Program (USP) (a component of the Center for Educational Equity and Excellence ) provides guidance and support to undocumented undergraduates at Cal. USP practices a holistic, multicultural, and solution-focused approach that delivers individualized service for each student. The academic counseling, legal support, financial aid resources, and extensive campus referral network provided by USP helps students develop the unique gifts and talents they each bring to the university while empowering a sense of belonging. The programs mission is to support the advancement of undocumented students within higher education and promote pathways for engaged scholarship.
Financial Resources:
Legal Services:
Holistic Services:


The target for this component is to achieve responsive layouting with standard design studio components (or other SDK components of course). There are some other options to make responsive layout, eg via CSS - Designing Responsive Components in Design Studio. This is fine, but it is restricted to the CSS functionality.
Link to blog: Design Studio SDK: Flow Layouter Component (for responsive layouting)


|
| typedef void * | StereoHandle |
| | A stereo handle, that corresponds to the device interface. 更多...
|
| |
NVAPI Handles - These handles are retrieved from various calls and passed in to others in NvAPI These are meant to be opaque types. Do not assume they correspond to indices, HDCs, display indexes or anything else.
Most handles remain valid until a display re-configuration (display mode set) or GPU reconfiguration (going into or out of SLI modes) occurs. If NVAPI_HANDLE_INVALIDATED is received by an app, it should discard all handles, and re-enumerate them.
| #define NV_BIT |
( |
|
x | ) |
(1 << (x)) |
| #define NVAPI_DEFAULT_HANDLE 0 |
A stereo handle, that corresponds to the device interface.
| NV_DECLARE_HANDLE |
( |
NvDisplayHandle |
| ) |
|
Display Device driven by NVIDIA GPU(s) (an attached display)
| NV_DECLARE_HANDLE |
( |
NvMonitorHandle |
| ) |
|
| NV_DECLARE_HANDLE |
( |
NvUnAttachedDisplayHandle |
| ) |
|
Unattached Display Device driven by NVIDIA GPU(s)
| NV_DECLARE_HANDLE |
( |
NvLogicalGpuHandle |
| ) |
|
One or more physical GPUs acting in concert (SLI)
| NV_DECLARE_HANDLE |
( |
NvPhysicalGpuHandle |
| ) |
|
| NV_DECLARE_HANDLE |
( |
NvEventHandle |
| ) |
|
A handle to an event registration instance.
| NV_DECLARE_HANDLE |
( |
NvVisualComputingDeviceHandle |
| ) |
|
A handle to a Visual Computing Device.
| NV_DECLARE_HANDLE |
( |
NvHICHandle |
| ) |
|
A handle to a Host Interface Card.
| NV_DECLARE_HANDLE |
( |
NvGSyncDeviceHandle |
| ) |
|
A handle to a G-Sync device.
| NV_DECLARE_HANDLE |
( |
NvVioHandle |
| ) |
|
A handle to an SDI device.
| NV_DECLARE_HANDLE |
( |
NvTransitionHandle |
| ) |
|
A handle to address a single transition request.
| NV_DECLARE_HANDLE |
( |
NvAudioHandle |
| ) |
|
| NV_DECLARE_HANDLE |
( |
Nv3DVPContextHandle |
| ) |
|
A handle for a 3D Vision Pro (3DVP) context.
| NV_DECLARE_HANDLE |
( |
Nv3DVPTransceiverHandle |
| ) |
|
A handle for a 3DVP RF transceiver.
| NV_DECLARE_HANDLE |
( |
Nv3DVPGlassesHandle |
| ) |
|
A handle for a pair of 3DVP RF shutter glasses.
| NV_DECLARE_HANDLE |
( |
NvSourceHandle |
| ) |
|
Unique source handle on the system.
| NV_DECLARE_HANDLE |
( |
NvTargetHandle |
| ) |
|
Unique target handle on the system.
| NV_DECLARE_HANDLE |
( |
NVDX_SwapChainHandle |
| ) |
|
DirectX SwapChain objects.


{{ define "main" }} This week treats About Sweet Prana Where you can find us {{ partial "contact" .}}
How it works:
Pay us with SINPE Móvil or cash at delivery.
Check out our full catalog of healthy sweets, order as you like and you can pick it up or we can deliver it to your place in the Tamarindo area.


| WinAPI Wrapper |
The ImageList class is a wrapper for HIMAGELIST objects. This is a non-destructive class - it does not destroy the image list object. For a destructive version see AutoImageList. See Image Lists Overview for details.
The ImageList class has the following functions:
| Function | Related WinAPI function | Description |
|---|---|---|
| ImageList | - | Assigns an empty or an existing image list handle. |
| operator HIMAGELIST | - | Returns image list handle. |
| Create | ImageList_Create | Creates an image list. |
| Duplicate | ImageList_Duplicate | Makes a copy of the image list. |
| Destroy | ImageList_Destroy | Destroys image list. |
| LoadImage | ImageList_LoadImage | Loads an image from either a file or a resource. |
| Add | ImageList_Add | Adds a HBITMAP to the image list. |
| AddMasked | ImageList_AddMasked | Adds a HBITMAP to the image list and creates a mask for it. |
| AddIcon | ImageList_AddIcon | Adds a HICON to the image list. |
| Replace | ImageList_Replace ImageList_ReplaceIcon | Replaces an image with HBITMAP or HICON. |
| Remove | ImageList_Remove | Removes an image from image list. |
| SetIconSize | ImageList_SetIconSize | Sets image dimensions and removes all existing images. |
| GetIconSize | ImageList_GetIconSize | Obtains image size. |
| GetIcon | ImageList_GetIcon | Gets an image as an HICON. |
| Copy | ImageList_Copy | Makes a copy of an image. |
| Draw | ImageList_Draw ImageList_DrawEx | Draws an image on a HDC. |
| GetImageCount | ImageList_GetImageCount | Returns number of images in image list. |
| SetImageCount | ImageList_SetImageCount | Resizes image list. |
| GetImageInfo | ImageList_GetImageInfo | Retrieves IMAGEINFO structure. |
| Merge | ImageList_Merge | Merges two images. |
| SetOverlayImage | ImageList_SetOverlayImage | Selects overlay image and its mask. |
| BeginDrag | ImageList_BeginDrag | Begins image drag operation creating a drag image. |
| DragEnter | ImageList_DragEnter | Enters image drag operation mode locking all window drawing. Use this right after BeginDrag. |
| DragLeave | ImageList_DragLeave | Ends image drag operation mode unlocking all window drawing. |
| DragMove | ImageList_DragMove | Moves dragged image after mouse move. |
| DragShowNolock | ImageList_DragShowNolock | Shows or hides dragged image. |
| EndDrag | ImageList_EndDrag | Finishes drag operation by destroying the dragged image. Call this after DragLeave. |
| SetDragCursorImage | ImageList_SetDragCursorImage | Creates drag image combining the image with mouse cursor. |
| GetDragImage | ImageList_GetDragImage | Returns temporary image list used for dragging. |
| SetBkColor | ImageList_SetBkColor | Sets background color. |
| GetBkColor | ImageList_GetBkColor | Gets background color. |
WinAPI Wrapper, WinAPI Wrapper classes, Image Lists Overview, Image List Reference


Static Gallery v.2
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time spent on defining and validating your data analyses and reporting issues?
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What are the key success factors in a data-driven world? How can everyone in your organisation get fluent in data literarcy asap?
We find answers at Qonnections 2019. Connect worlds and technologies like MS Excel and Sense the way your team speeds up to get data literacy virtuosic. Make connections you won´t find anywhere else. Bring back new insights to inspire your team and leapfrog commodity.


Pants for Organizations
Pants works well for organizations with a large number of developers working in a multi-tenant repo. Typically, repos become slower over time as more source and test files are added because most build systems build and test everything every time. Pants enables the benefits of a single repo with the speed of per-project repos by only operating on repo "slices".
Frontend & Backend Example
Imagine a simple repo that contains both a frontend and backend service, as illustrated by the following dependency graph.
Consider a frontend developer that only works on the frontend service. With most build systems, the
developer would need to compile everything every time, slowing them down over time as more and more
code is added to the repo. With Pants, the frontend developer only needs to compile the code directly
used by their service. For example, consider building org.pantsbuild.fe.service
. Regardless of
how complex the backend code grows over time, the frontend build will not slow down.
Now consider a backend developer who only works on the backend service. When building the backend
service, only the code required by the backend service is built, regardless of what other code
is in the repo. The ability to build "slices" of the repo is fundamental to enabling multiple users
and teams to work together in a single repo. Note how only the backend code would be built when
building org.pantsbuild.be.service
:
Continuous Integration
Most organizations require test pass before merging a change to master. Pants enables fast CI by
only running tests affected by a change. That is, only targets that transitively depend on a
changed target have their tests run. In practice, a change to README.md
might not trigger any
tests, a change to a top-level node such as org.pantsbuild.fe.service
in the dependency graph
would only trigger it's direct tests, and a change to a low-level node
(e.g.: protobuf/thrift IDL file) might trigger most tests.
For most users, the following script would work well for a pull-request builder type CI job:
#!/bin/bash set -x set -o set -e # Disable Zinc incremental compilation to ensure no historical cruft pollutes the build used for CI testing. export PANTS_COMPILE_ZINC_INCREMENTAL=False changed=("$(./pants --changed-parent=origin/master list)") dependees=("$(./pants dependees --dependees-transitive --dependees-closed ${changed[@]})") minimized=("$(./pants minimize ${dependees[@]})") ./pants filter --filter-type=-jvm_binary ${minimized[@]} | sort > minimized.txt # In other contexts we can use --spec-file to read the list of targets to operate on all at # once, but that would merge all the classpaths of all the test targets together, which may cause # errors. See https://www.pantsbuild.org/3rdparty_jvm.html#managing-transitive-dependencies. # TODO(#7480): Background cache activity when running in a loop can sometimes lead to race conditions which # cause pants to error. This can probably be worked around with --no-cache-compile-rsc-write. See # https://github.com/pantsbuild/pants/issues/7480. for target in $(cat minimized.txt); do ./pants test $target done


Located in /orm/KrisDB.php (line 18)
| Class | Description |
|---|---|
| KrisDBView | |
| KrisModel |
Adds the limit onto the query
Adds ordering to the RecordSet...
Converts a key like RecordId to record_id
Converts a key like record_id to RecordId
Generates which fields to select
Generates the where portion of the query
Used to get a field from the Model/DBView
Keeps a cache of the the databaseHandle..
Used by Model/DBViews to set which fields they wish to be read/written to.
Returns multiple instances of a model based on a statement...
Used by the model to set variables, they can be stored later with Insert/Update.
Validates
Magic Function access to get. Syntactical sugar that allows $db->SomeField rather than $db->get('SomeField')
Magic Function access to set. Syntactical sugar that allows $db->SomeField = 'SomeValue' rather than $db->set('SomeField', 'SomeValue');
Documentation generated on Mon, 25 Jul 2011 21:33:17 -0700 by phpDocumentor 1.4.3


Portuguese foundation launches world's largest cancer award
by Catarina DemonyLISBON (Reuters) - Portugal’s Champalimaud Foundation announced on Monday the world’s largest annual prize, worth 1 million euros, for research and clinical practices aiming to control or eradicate cancer.
Cancer is the second leading cause of death globally and it was responsible for an estimated 9.6 million deaths in 2018, according to the World Health Organisation.
“For more than a century cancer, more than any other disease, has occupied our thought and fears,” the foundation said.
“Despite growing knowledge on the biology of the disease and advances in prevention, diagnosis and treatment, deaths from cancer are continuing to rise in most countries.”
The foundation, which focuses on neuroscience and oncology research at its Lisbon base, was set up at the bequest of the industrialist Antonio Champalimaud who died in 2004.
Last year a prize was awarded to seven scientists in the United States and Britain who came up with a revolutionary gene therapy cure for a rare genetic form of childhood blindness.


{% load static %}
I love programing, passionate learner, doing research and collaborating.
First time learning android application development and worked various categories in Code Matrix Lab.
Some project was done previously like All science formula and simple flashlight app.
After that, I'm getting quite interested in Python languages. And now I'm working with Backend Development with Python Django framework.
Also i'm working with IT Professional work.
Front End Developer
Previously build several projects with bootstrap framework and javascript. That project was a web Dictionary application.
Languages: Python, JavaScript, TypeScript, SQL, HTML, CSS, C, PHP, Java
Frameworks and Libraries: Flask, Django, jQuery, D3, Bootstrap
Tools: Git, InDesign, Photoshop, Illustrator, Premiere Pro, Markdown
Reverse Engineer and Coursera
I can learn just about anything by having a final product to tear apart piece by piece. I break the code where i figure out why things work the way they work. Documentation is just a reference.
Coursera online course helped me a lot to build strong knowledge.
I'm ready to learn something new. I love traveling and i want to share my travel experience in my youtube channel Walker RKB.
Aside from building small project I would love to enter a position where I can be part of a bigger team and learn from others with more experience that myself.


{% extends 'base.html' %} {% block content %} An email has been sent to verify your email address. Click on the link in that email. {% endblock %}


DocAuth
Document Authorization on the Ethereum Blockchain
Authorize your Document
File
Only the hash of the document is retrieved to be stored; the actual contents are never stored anywhere.
Hash
The hash of the document
Author Name
Title
Email
Authorize it!
Check for Existence
Get Document Details from author name
Enter Author Name
Get Doc Details From Author Name


A vertical or horizontal slider. Sliders are a type of Widget and inherit its methods and properties.
Example:
a = Slider() a.setValue( .5 ) a.isVertical = false
See the Widget prototype for relevant methods.


Main
Settings
Save Content to a File
Config Dosyası Ayarları
It is used for uploading config file or downloading uploaded config file
Upload config file
Export config file
No config file uploaded
It is used for creating new config file or editing uploaded config file
Create Config File
Edit Uploaded Config File


This task will require you to set up a Cognitive Service for facial analysis. You'll use this to allow customers to run your Xamarin app and see what they look like with different KNOWZY noses on their face!
Create a new Cognitive Services Face API.
Copy your Face API's Name and Key 1 for later usage.
Creating a Face API couldn't be easier, just follow this guide I found.


Image data used to create a texture.
More...
Inherits glTF2::Object.
|
| static const char * | TranslateId (Asset &, const char *id) |
| | Maps special IDs to another ID, where needed. Subclasses may override it (statically) More...
|
| |
Image data used to create a texture.
◆ Image()
◆ FindArray()
| Value * glTF2::Object::FindArray |
( |
Value & |
val, |
|
|
const char * |
id |
|
) |
| |
|
inlineinherited |
◆ FindExtension()
| Value * glTF2::Object::FindExtension |
( |
Value & |
val, |
|
|
const char * |
extensionId |
|
) |
| |
|
inlineinherited |
◆ FindNumber()
| Value * glTF2::Object::FindNumber |
( |
Value & |
val, |
|
|
const char * |
id |
|
) |
| |
|
inlineinherited |
◆ FindObject()
| Value * glTF2::Object::FindObject |
( |
Value & |
val, |
|
|
const char * |
id |
|
) |
| |
|
inlineinherited |
◆ FindString()
| Value * glTF2::Object::FindString |
( |
Value & |
val, |
|
|
const char * |
id |
|
) |
| |
|
inlineinherited |
◆ FindUInt()
| Value * glTF2::Object::FindUInt |
( |
Value & |
val, |
|
|
const char * |
id |
|
) |
| |
|
inlineinherited |
◆ GetData()
| const uint8_t* glTF2::Image::GetData |
( |
| ) |
const |
|
inline |
◆ GetDataLength()
| size_t glTF2::Image::GetDataLength |
( |
| ) |
const |
|
inline |
◆ HasData()
| bool glTF2::Image::HasData |
( |
| ) |
const |
|
inline |
◆ IsSpecial()
| virtual bool glTF2::Object::IsSpecial |
( |
| ) |
const |
|
inlinevirtualinherited |
Objects marked as special are not exported (used to emulate the binary body buffer)
Reimplemented in glTF2::Buffer.
◆ Read()
| void glTF2::Image::Read |
( |
Value & |
obj, |
|
|
Asset & |
r |
|
) |
| |
|
inline |
◆ SetData()
| void glTF2::Image::SetData |
( |
uint8_t * |
data, |
|
|
size_t |
length, |
|
|
Asset & |
r |
|
) |
| |
|
inline |
◆ StealData()
| uint8_t * glTF2::Image::StealData |
( |
| ) |
|
|
inline |
◆ TranslateId()
| static const char* glTF2::Object::TranslateId |
( |
Asset & |
, |
|
|
const char * |
id |
|
) |
| |
|
inlinestaticinherited |
Maps special IDs to another ID, where needed. Subclasses may override it (statically)
◆ bufferView
The uri of the image, that can be a file path, a data URI, etc.. (required)
◆ height
◆ id
| std::string glTF2::Object::id |
|
inherited |
The globally unique ID used to reference this object.
◆ index
The index of this object within its property container.
◆ mData
| std::unique_ptr<uint8_t[]> glTF2::Image::mData |
|
private |
◆ mDataLength
| size_t glTF2::Image::mDataLength |
|
private |
◆ mimeType
| std::string glTF2::Image::mimeType |
◆ name
| std::string glTF2::Object::name |
|
inherited |
The user-defined name of this object.
◆ oIndex
| int glTF2::Object::oIndex |
|
inherited |
The original index of this object defined in the JSON.
◆ uri
| std::string glTF2::Image::uri |
◆ width
The documentation for this struct was generated from the following files:


Hi,
I have emoncms working on a local windows file-server.
Just thinking to make a port-forwarding on my router.
Doing this, i get access to my dashboards with: http://mydyndns.org/emoncms/dashboard/view
That's fine. But with this I am opening the wamp-server for the whole world (Who knows my dyndns-address)
Because with http://mydyndns.org you get access to the wampserver configuration page :-(
And this is to avoid!!!!
(mydyndns.org is only an example)
Any idea?
regards/brutzler
Re: reaching emoncms safe from www
move every thing in the root folder to a sub folder... or use an htaccess file to prevent from accessing the root folder
or make a redirect...
Re: reaching emoncms safe from www
>> use an htaccess file to prevent from accessing the root folder
>> or make a redirect...
Thx for tips. But never made something like that. Will have to ask google for more informations.
Redirect: Sounds like I will lock out myself too, and will never get access to the wamp-server configuration page again?
Re: reaching emoncms safe from www
You need to change the Port number used by your router to access the configuration page, so to access your config page you will add the port number to the private IP address of your router.I added some info about this in my blog, but it will depend which router you are using, but it may help.PaulRe: reaching emoncms safe from www
his issue is that the config page is located on port 80 like everything else, but in the root folder for the web server...
so he will have to put a htaccess in the root folder that ask for user pass combo on the root folder but not any sub folders...
in that way if he just goes in the root folder it will ask for pass, but if anyone enters /emoncms it will not ask for this
Re: reaching emoncms safe from www
....his issue is that the config page is located on port 80 like everything else, but in the root folder for the web server...Yes, that is correct, but if the config page is moved to an unused port, and accessed via the private IP address, eg <IP_ADDRESS>:8080 - this then frees up the website root to be used as a landing page, blog or whatever is wanted.Using htaccess is not very welcoming for visitors, whilst changing the config port makes it invisible.PaulRe: reaching emoncms safe from www
...but if the config page is moved to an unused port...
ok, but how can i change the config page to another port, and tell the webserver to show a different page on the normal port?
Further steps (config my router) should not be the big problem :-)
EDIT:
I know: editing /apache2.4.9/conf/httpd.conf to another port (Listen-command) can change the config-page to a different port.
I changed this:
>> Listen <IP_ADDRESS>:85
>> Listen [::0]:85
and with <IP_ADDRESS>:85 i get the config-page.
But emoncms needs now the same port: <IP_ADDRESS>:85/emoncms
How to tell apache, that http://<IP_ADDRESS>/emoncms/... is to be reached by e.g. port 8080?
Re: reaching emoncms safe from www
Johann, I don't run a wampserver, but just read up a little on them tonight and found that in your root (www directory), you should have a index.php file (which serves your configuration page). If you rename it to something like myadminpage.php you will still be able to access your configuration by the url http://mysite.com/myadminpage.php (if you don't want anyone else to find it, change the file name to something really obscure).
Then, if you add a new index.php file, this will serve as your root landing page to serve whatever page you wish.
I've attached a simple index.php file if you wish to use it, just rename it from index.txt to index.php. OR alternatively, rename redirect.txt to index.php and use that one instead - it should redirect visitors to http://mysite.com/emoncms.
Paul
Re: reaching emoncms safe from www
Hi Paul,
thx for working out. Will try this evening.
I have read a lot of last night too. Just found something of "vhost". Could this be another way to configurate apache?
Re: reaching emoncms safe from www
The PageKite service is pretty interesting. You can password protect access, as well as disable it completely when it's not needed. https://pagekite.net
Re: reaching emoncms safe from www
@ Paul,
why did you score out one of your posts?
Re: reaching emoncms safe from www
It's just forum etiquette, because having now done a little research on wampservers, I don't think that my earlier suggestions were the best approach to resolve the issue which you reported, and by scoring out those suggestions I'll avoid confusing someone else who reads this in the future.
Have you had chance to try my last post?
Paul
Re: reaching emoncms safe from www
Hi Paul,
Just made some tries:
Your ideas are working as expected.
- Redirecting is working :-)
- Changing index.php to myadminpage shows the conf-page. But I had to make some changes in the php-script, because there where some refers on "index.php" inside. These had to be renamed to the new filename to get the embedded gif-symbols.
BUT:
If somebody knows a little bit about wampserver and apache, he only has to type in: http://mysite.com/myphpadmin and he gets access to the mysql-database. In my case I have not set a root-pw on it until now.
Having more time, i will additionally have a look at the idea of boelle (htaccess). Perhaps a combination of both will be the solution.
I will report my results.
@ now: thx for your great ideas and help.
Re: reaching emoncms safe from www
That's good, however in my post above I suggested that if you want to make it secure, change the name to something really obscure - R5dm6Hp.php which nobody would know.
Then bookmark the page, so that you can easily get access in the future.
Of course if someone was network sniffing your traffic, they could find out the url, but how likely is that? otherwise it should be fairly secure.
Paul
Re: reaching emoncms safe from www
I think I was not clear in my last post. And I made a mistake. Its not myphpadmin; Its called phpmyadmin (sorry)
I renamed index.php to myadminpage.php, and you are right, that I could use instead "myadminpage" a more obscure name.
But I talked about http://mysite.com/phpmyadmin. This is different and one of the standard wamp-aliases like phpsysinfo/sqlbuddy/webgrind/phpmyadmin.
And with these you get access to "non public" things.
But to be fair: I only tested this from inside until now.
Re: reaching emoncms safe from www
Yes but doesn't phpMyAdmin have it's own secure login via username/password built in?
Paul
Re: reaching emoncms safe from www
Just new infos:
These aliases are not reachable from outside, because there is a e.g. phpmyadmin.conf-file.
And in this, you can define "require local". This is default and does not allow access from outside.
--> No "easy" backdoor visible for me right now :-)
Re: reaching emoncms safe from www
Same here, and then via username/password.
Paul
Re: reaching emoncms safe from www
I am not asked for username/pw.
Guess cause of setting no root-password


Spring/Summer Lace Vintage High Collar Princess wedding Dress
Princess Gown
Elegant Lace Embroidery dream Princess gown
Long sleeves
Clothing style details: flowers & Embroidery
Size: S M L XL XXL XXXL
Au Size : 8,10,12,14,16,18,20,22,24,26
Fabric: Mesh / Organza
Collar type: deep V-neck
Waist type: middle waist
Clothing style details: flowers & Embroidery.


Hello {{ user.username }}!
Reset your password on the link:
{https://builder.open-decision.org/{{ token }}


MKTableCellDelegate Protocol Reference
| Conforms to | NSObject |
| Declared in | MKTableCellDelegate.h |
Overview
The MKTableCellDelegate is designed to work with an NSDictonary object. It uses the key property of MKTableCell to identify input changes and notify the delegate of them. This allows you to quickly process large sets of data input from the user.
Here is an example of how it works:
- (void)valueDidChange:(id)value forKey:(NSString *)aKey { [myDictionary setObject:value forKey:aKey]; }
Tasks
Input Changes
-
- valueDidChange:forKey:
Called when a the Value of a controled object is changed.
Responding to Events
-
- didSelectCell:forKey:indexPath:
Called when the cell is selected. -
- didTapAccessoryForKey:indexPath:
Called when the cells Accessory View is touched.Note This method is called when using one of the MKTableCellAccessoryTypes. If your using one of the UITableCellView accessory this method will not be called.
-
- didSwipeRightToLeftForKey:indexPath:
Called when the cell is swiped from right to the left. -
- didSwipeLeftToRightForKey:indexPath:
Called when the cell is swiped from left to the right. -
- didLongPressForKey:indexPath:
Called when the long press is done on the cell.
MKTableCellTextEntry Methods
-
- textFieldIsFirstResponder:
Called when a the MKTextField object of becomes the first responder. @warning Note This method is only called by the MKTableCellTextEntry class.
Validation Methods
-
- cellDidValidate:forKey:indexPath:
Called when a cell validates its input. If there is a validation error, the error will be passed through this method. The userInfo dictionay of the error contains addtional information about the error. The error information can be accessed through the following keys:-
MKValidatorField
: The input field that was validated. -
MKValidatorEnteredText
: The text that was entered into the field.
-
Deprecations
-
- willRemovePicker:forKey:
DEPRECATED v1.0 -
- didAddPicker:forKey:
DEPRECATED v1.0
Instance Methods
cellDidValidate:forKey:indexPath:
Called when a cell validates its input. If there is a validation error, the error will be passed through this method. The userInfo dictionay of the error contains addtional information about the error. The error information can be accessed through the following keys:
-
MKValidatorField
: The input field that was validated. -
MKValidatorEnteredText
: The text that was entered into the field.
- (void)cellDidValidate:(NSError *)error forKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- error
- the validation error.
- aKey
- a unique NSString that identifies the cell.
- indexPath
- the indexPath of the cell.
Note Index paths are not automatically set. If the indexPath property is not set
nil
will be passed.
Declared In
MKTableCellDelegate.h
didAddPicker:forKey:
DEPRECATED v1.0
- (void)didAddPicker:(UIView *)thePicker forKey:(NSString *)aKey
Declared In
MKTableCellDelegate.h
didLongPressForKey:indexPath:
Called when the long press is done on the cell.
- (void)didLongPressForKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- aKey
- A unique NSString that identifies the cell.
- indexPath
- The index path of the cell.
Declared In
MKTableCellDelegate.h
didSelectCell:forKey:indexPath:
Called when the cell is selected.
- (void)didSelectCell:(MKTableCell *)cell forKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- cell
- the cell that was touched.
- aKey
- the key of the cell that was touched.
- indexPath
- the index path of the cell.
Declared In
MKTableCellDelegate.h
didSwipeLeftToRightForKey:indexPath:
Called when the cell is swiped from left to the right.
- (void)didSwipeLeftToRightForKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- aKey
- A unique NSString that identifies the cell.
- indexPath
- The index path of the cell.
Declared In
MKTableCellDelegate.h
didSwipeRightToLeftForKey:indexPath:
Called when the cell is swiped from right to the left.
- (void)didSwipeRightToLeftForKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- aKey
- A unique NSString that identifies the cell.
- indexPath
- The index path of the cell.
Declared In
MKTableCellDelegate.h
didTapAccessoryForKey:indexPath:
Called when the cells Accessory View is touched.
Note This method is called when using one of the MKTableCellAccessoryTypes. If your using one of the UITableCellView accessory this method will not be called.
- (void)didTapAccessoryForKey:(NSString *)aKey indexPath:(NSIndexPath *)indexPath
Parameters
- aKey
- A unique NSString that identifies the cell.
- indexPath
- the index path of the cell whos acessory was taped.
Exceptions
- No
- index path. The index path property of the cell must be set for this method to be called.
Declared In
MKTableCellDelegate.h
textFieldIsFirstResponder:
Called when a the MKTextField object of becomes the first responder. @warning Note This method is only called by the MKTableCellTextEntry class.
- (void)textFieldIsFirstResponder:(UITextField *)textField
Parameters
- textField
- The text field that has become the first responder.
Declared In
MKTableCellDelegate.h
valueDidChange:forKey:
Called when a the Value of a controled object is changed.
- (void)valueDidChange:(id)value forKey:(NSString *)aKey
Parameters
- value
- An object represnting the new value of the control objcet.
- aKey
- A unique NSString that identifies the cell.
Discussion
Called when a the Value of a controled object is changed.
All of the sublcasses that use any type of user input contols call this method whenever the input value is changed. It is imporant that the key property of MKTableCell is set for this method to work propery.
Note If a contol gives an integer or bool for its value, the value is converted into an NSNumber object before this method is called.
Declared In
MKTableCellDelegate.h


vdiff
`Prev `__
V
`Next `__
--------------
**vdiff**: /vee´dif/, v.,n.
Visual diff. The operation of finding differences between two files by
`*eyeball search* <../E/eyeball-search.html>`__. The term optical diff
has also been reported, and is sometimes more specifically used for the
act of superimposing two nearly identical printouts on one another and
holding them up to a light to spot differences. Though this method is
poor for detecting omissions in the ‘rear’ file, it can also be used
with printouts of graphics, a claim few if any diff programs can make.
See `*diff* <../D/diff.html>`__.
An interesting variant of the vdiff technique usable by anyone who has
sufficient control over the parallax of their eyeballs (e.g. those who
can easily view random-dot stereograms), is to hold up two paper
printouts and go cross-eyed to superimpose them. This invokes deep,
fast, built-in image comparison wetware (the same machinery responsible
for depth perception) and differences stand out almost immediately. This
technique is good for finding edits in graphical images, or for
comparing an image with a compressed version to spot artifacts.
--------------
+---------------------------------+----------------------------+---------------------------------+
| `Prev `__ | `Up <../V.html>`__ | `Next `__ |
+---------------------------------+----------------------------+---------------------------------+
| vaxocentrism | `Home <../index.html>`__ | veeblefester |
+---------------------------------+----------------------------+---------------------------------+


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Invoices
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Date
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Invoice3
September 3, 2015
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August 3, 2015
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Welcome to Salju Dunya! What's a better way to show your appreciation to your loved ones, or to embrace the change of season, other than snow globes. Here on our website, we not only offer the traditional christmas snow globes, but also snow globes of different seasons and cities. A snow globe for all occasions, we are guaranteed you'll find the perfect fit. Enjoy!
Salju Dunya is an international company selling snow globes. Originally founded by the Dunya family in Sudan, the Salju Dunya company has spread over all seven continents.


Before Change
x = st.text("Making wave...")
sine_wave = note(frequency, duration, amplitude, sampling_rate)
f = wave.open("sound.wav", "w")
f.setparams((nchannels, sampwidth, int(sampling_rate), nframes, comptype, compname))
x.text("Converting wave...")
f.writeframes(sine_wave)
f.close()
with io.open("sound.wav", "rb") as f:
x.text("Sending wave...")
x.audio(f)
After Change
return out
avdir = os.path.expanduser("~")
audiofiles = get_audio_files_in_dir(avdir)
if len(audiofiles) == 0:
st.write(
"Put some audio files in your home directory (%s) to activate this player."
% avdir
)
else:
filename = st.selectbox(
"Select an audio file from your home directory (%s) to play" % avdir,
audiofiles,
0,
)
audiopath = os.path.join(avdir, filename)
st.audio(audiopath)
st.header("Generated audio (440Hz sine wave)")
def note(freq, length, amp, rate):


Prison Service and Gardaí investigating death of Cloverhill Prison inmate
by By Digital Desk staffUpdate: The Irish Prison Service has said it is investigating the death of a prisoner at Cloverhill in Dublin.
In a statement, it says all practicable measures are taken by prison management and staff to ensure the safety of those in custody.
However, it says regrettably no prison system can be completely free of violence and inter prisoner assaults do occur.
The man in his 30s died last night after an incident involving two inmates at around midnight.
It adds that gardaí and the office of the Inspector of Prisons are also investigating the circumstances surrounding the incident.
Earlier: Gardaí following 'definite line of inquiry' after inmate found dead in Cloverhill Prison
Gardai say they are following a definite line of inquiry after the body of an inmate was found in Cloverhill in Dublin.
A post mortem is being carried out this evening.
READ MORE
'Fake news' warping perception of reality - Brendan Howlin
Shortly after midnight gardaí and emergency services were called by prison authorities following an incident involving two male prisoners in custody at the prison.
A man in his late 30s was treated by emergency services but was pronounced dead at the scene a short time later.
The man's body remains at the scene which is currently preserved pending a full forensic and technical examination.
Gardaí say they are following a definite line of inquiry and the investigation is ongoing.


|
FloatingMeasure
class API for phyiscal calculations
|
#include "VectorHandle.h"
Go to the source code of this file.
Classes | |
| class | CPreMeasure |
| CPreMeasure represents the pre-measure part of a measure. For example milli volt consists of the base-measure part "Volt" (see CBaseMeasure) and the pre-measure part "milli". This class handles vectors of: More... | |
Macros | |
| #define | PRE CPreMeasureSingleton::instance() |
| Short cut to the singleton instance of CPreMeasure. More... | |
Typedefs | |
| typedef CSingleton< CPreMeasure > | CPreMeasureSingleton |
| a singleton instance of the class CPreMeasure: use this for efficient memory handling More... | |
Enumerations | |
| enum | ePreMeasure { pmFemto = 0, pmFirst = pmFemto, pmPiko, pmNano, pmMicro, pmMilli, pmCenti, pmDeci, pmIdent, pmDeca, pmHecto, pmKilo, pmMega, pmGiga, pmTera, pmPeta, pmExa, pmZetta, pmYotta, pmLast, pmUnknown = pmLast } |
| enum for indexing the vectors of CPreMeasure More... | |
| #define PRE CPreMeasureSingleton::instance() |
Short cut to the singleton instance of CPreMeasure.
Definition at line 198 of file PreMeasure.h.
| typedef CSingleton<CPreMeasure> CPreMeasureSingleton |
a singleton instance of the class CPreMeasure: use this for efficient memory handling
Definition at line 191 of file PreMeasure.h.
| enum ePreMeasure |
enum for indexing the vectors of CPreMeasure
Definition at line 34 of file PreMeasure.h.


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pusion.auto.auto_combiner¶
- class pusion.auto.auto_combiner.AutoCombiner¶
Bases:
pusion.auto.generic_combiner.GenericCombiner
The AutoCombiner allows for automatic decision fusion using all methods provided by the framework, which are applicable to the given problem. The key feature of this combiner is the transparency in terms of it’s outer behaviour. Based on the usage (i.e. method calls) and the automatically detected configuration, the AutoCombiner preselects all compatible methods from pusion.core. The main purpose is to retrieve fusion results obtained by the methods with the best performance without further user interaction.
- train(decision_tensor, true_assignments)¶
Train the AutoCombiner (AC) model. This method detects the configuration based on the
decision_tensor
and trains all trainable combiners that are applicable to this configuration.- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of either crisp or continuous class assignments which are considered true for each sample during the training procedure.
- combine(decision_tensor)¶
Combine decision outputs using the AutoCombiner (AC) model. Both continuous and crisp classification outputs are supported. This procedure involves selecting the best method regarding its classification performance in case of a trained AC.
- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
- Returns
A matrix (numpy.array) of crisp or continuous class assignments which represents fused decisions. Axis 0 represents samples and axis 1 the class labels which are aligned with axis 2 in
decision_tensor
input tensor.
- combine_par(decision_tensor)¶
Combine decision outputs by GC. Both continuous and crisp classification outputs are supported. This procedure involves combining decision outputs by each individual method which is applicable to the detected configuration. Each combine procedure is spawned in a separate thread and thus performed in parallel.
- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
- Returns
list of numpy.array of shape (n_samples, n_classifiers). Fusion results obtained by selected fusion methods. The list is aligned with the list of preselected fusion methods (retrievable by
get_combiners()
).
- combine_seq(decision_tensor)¶
Combine decision outputs by GC. Both continuous and crisp classification outputs are supported. This procedure involves combining decision outputs by each individual method which is applicable to the detected configuration. Each combine procedure is initiated in sequence.
- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
- Returns
list of numpy.array of shape (n_samples, n_classifiers). Fusion results obtained by selected fusion methods. The list is aligned with the list of preselected fusion methods (retrievable by
get_combiners()
).
- get_combiner_type_selection()¶
- Returns
list of combiner types established by usage.
- get_combiners()¶
- Returns
list of core methods preselected by the AutoCombiner.
- get_multi_combiner_decision_tensor()¶
- Returns
list of numpy.array of shape (n_samples, n_classifiers). Fusion results obtained by selected fusion methods. The list is aligned with the list of preselected fusion methods (retrievable by
get_combiners()
).
- get_multi_combiner_runtimes()¶
- Returns
A tuple of two lists of tuples describing the train and combine runtimes respectively. Each inner tuple key value indexes the list of preselected fusion methods (retrievable by
get_combiners()
).
- get_pac()¶
- Returns
tuple of detected problem, assignment type and coverage type.
- classmethod obtain(config)¶
Obtain a combiner registered by the framework.
- Parameters
config –
pusion.model.configuration.Configuration
. User-defined configuration.- Returns
A combiner object.
- set_coverage(coverage)¶
Set the coverage in case of complementary-redundant classification data.
- Parameters
coverage – The coverage is described by using a nested list. Each list describes the classifier based on its position. Elements of those lists (integers) describe the actual class coverage of the respective classifier. E.g., with
[[0,1], [0,2,3]]
the classes 0,1 are covered by the first classifier and 0,2,3 are covered by the second one.
- set_evidence(evidence)¶
Set the evidence for evidence based combiners. This method preselects all combiners of type EvidenceBasedCombiner.
- Parameters
evidence – numpy.array of shape (n_classifiers, n_classes, n_classes). Confusion matrices for each of n classifiers.
- set_parallel(parallel=True)¶
Set whether the training and the combining of selected combiners should be executed sequentially or in parallel. :param parallel: If True, training and combining is performed in parallel respectively. Otherwise in sequence.
- set_validation_size(validation_size)¶
Set the validation size, based on which the training data is split and the best combiner is selected.
- Parameters
validation_size – A float between 0 and 1.0. Ratio of the validation data set.
- train_par(decision_tensor, true_assignments)¶
Train the Generic Combiner by training individual combiners in parallel. This method detects the configuration based on the
decision_tensor
and trains all trainable combiners that are applicable to this configuration.- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of either crisp or continuous class assignments which are considered true for each sample during the training procedure.
- train_seq(decision_tensor, true_assignments)¶
Train the Generic Combiner by training individual combiners in sequence. This method detects the configuration based on the
decision_tensor
and trains all trainable combiners that are applicable to this configuration.- Parameters
decision_tensor –
numpy.array of shape (n_classifiers, n_samples, n_classes) or a list of numpy.array elements of shape (n_samples, n_classes’), where n_classes’ is classifier-specific due to the coverage.
Tensor of either crisp or continuous decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of either crisp or continuous class assignments which are considered true for each sample during the training procedure.
- get_selected_combiner()¶
- Returns
The method selected by the AutoCombiner.


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Most inanimate objects inherit from the LIB_ITEM library in dead souls. As a result, they share many features in common. The item generator places the most common elements in the first three tabs labeled: General, Properties, and Weapon Stats; and leaves the final tab Inherited Features open for expansions. In this way, objects that derive from items but have unique functionality can be defined in the configuration files and the additional features can be presented in the menus and Inherited Features tab automatically.
The purpose of this generator is to create most common item including melee weapons, keys, and containers like lockers or chests),


{% extends "layout.html" %}
{% block title %} Alaska Affordable Energy Model{% endblock %}
{% block additional_css %}
{% endblock %}
{% block full %}
Alaska Affordable Energy Model
Message about data used for the model
The results presented here a generated from available data on population, consumption, generation, and information on a technologies analyzed. For some communities this information may be incomplete. If you have, or know of a source of data that could help improve the model please contact The Alaska Energy Authority .