15k HEK293 and 40k HMECs Multiplexed by Lipid- and Cholesterol-tagged Indices¶
Dataset: MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
McGinnis, C.S., Patterson, D.M., Winkler, J., Conrad, D.N., Hein, M.Y., Srivastava, V., Hu, J.L., Murrow, L.M., Weissman, J.S., Werb, Z., et al. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nat. Methods 16, 619–626.
Preparation¶
Download pre-processed feature count matrix files from Gene Expression Omnibus.
$ wget https://ftp.ncbi.nlm.nih.gov/geo/series/GSE129nnn/GSE129578/suppl/GSE129578_processed_data_files.csv.tar.gz
$ tar zxvf GSE129578_processed_data_files.csv.tar.gz
$ ls -1
GSE129578_processed_data_files.csv.tar.gz
HMEC_orig_MULTI_matrix.csv
HMEC_techrep_MULTI_matrix.csv
PDX_MULTI_matrix.csv
POC_MULTI_matrix.csv
POC_nuc_MULTI_matrix.csv
15k human embryonic kidney 293 cells (HEK293)¶
Pre-processing¶
Inspect feature count matrix.
$ head POC_MULTI_matrix.csv
CellID,LaneID,Bar1,Bar2,Bar3,nUMI_Bar
AAACCTGAGAAGGTTT-1,LMO,1,35,0,36
AAACCTGAGATGTTAG-1,LMO,3,1,4,8
AAACCTGAGGAATGGA-1,LMO,257,0,0,257
AAACCTGAGGGATCTG-1,LMO,2,0,1,3
AAACCTGAGGTAAACT-1,LMO,98,0,0,98
AAACCTGAGTGTTAGA-1,LMO,87,0,0,87
AAACCTGCACACAGAG-1,LMO,114,1,2,117
AAACCTGCACAGCCCA-1,LMO,1,1,25,27
AAACCTGCATCCAACA-1,LMO,4,8,0,12
Pre-process feature count matrix.
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: m = pd.read_csv(filepath_or_buffer='POC_MULTI_matrix.csv',
index_col=0)
In [4]: m.iloc[1:5, 1:5]
Out[4]:
Bar1 Bar2 Bar3 nUMI_Bar
CellID
AAACCTGAGATGTTAG-1 3 1 4 8
AAACCTGAGGAATGGA-1 257 0 0 257
AAACCTGAGGGATCTG-1 2 0 1 3
AAACCTGAGGTAAACT-1 98 0 0 98
In [5]: m = m.T.drop(['LaneID', 'nUMI_Bar'])
In [6]: m.to_csv(path_or_buf='matrix_featurecount_POC_MULTI.csv.gz',
compression='infer')
In [7]: m.sum(axis=0)
Out[7]:
CellID
AAACCTGAGAAGGTTT-1 36
AAACCTGAGATGTTAG-1 8
AAACCTGAGGAATGGA-1 257
AAACCTGAGGGATCTG-1 3
AAACCTGAGGTAAACT-1 98
...
TTTGTCACAAGCCTAT-3 0
TTTGTCAGTATAGTAG-3 0
TTTGTCAGTCTGATCA-3 0
TTTGTCAGTGCGCTTG-3 0
TTTGTCAGTGGTCCGT-3 0
Length: 15482, dtype: object
In [8]: np.median(m.sum(axis=0))
Out[8]: 20.0
Demultiplexing¶
Cells are demultiplexed based on the abundance of features. Demultiplexing method 4
is implemented based on the method described in McGinnis, C., et al. (2019) with some modifications. A cell identity matrix is generated in the output directory: 0 means negative, 1 means positive. Set -v
to create visualization plots.
$ fba demultiplex -i matrix_featurecount_POC_MULTI.csv.gz -dm 4 -v
2021-12-20 14:54:45,248 - fba.__main__ - INFO - fba version: 0.0.x
2021-12-20 14:54:45,248 - fba.__main__ - INFO - Initiating logging ...
2021-12-20 14:54:45,248 - fba.__main__ - INFO - Python version: 3.9
2021-12-20 14:54:45,249 - fba.__main__ - INFO - Using demultiplex subcommand ...
2021-12-20 14:54:47,474 - fba.__main__ - INFO - Skipping arguments: "-q/--quantile", "-cm/--clustering_method", "-p/--prob"
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - Output directory: demultiplexed
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - Demultiplexing method: 4
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - UMI normalization method: clr
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - Visualization: On
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - Visualization method: tsne
2021-12-20 14:54:47,474 - fba.demultiplex - INFO - Loading feature count matrix: matrix_featurecount_POC_MULTI.csv.gz ...
2021-12-20 14:54:48,677 - fba.demultiplex - INFO - Number of cells: 15,482
2021-12-20 14:54:48,677 - fba.demultiplex - INFO - Number of positive cells for a feature to be included: 200
2021-12-20 14:54:48,701 - fba.demultiplex - INFO - Number of features: 3 / 3 (after filtering / original in the matrix)
2021-12-20 14:54:48,701 - fba.demultiplex - INFO - Features: Bar1 Bar2 Bar3
2021-12-20 14:54:48,701 - fba.demultiplex - INFO - Total UMIs: 705,913 / 705,913
2021-12-20 14:54:48,713 - fba.demultiplex - INFO - Median number of UMIs per cell: 20.0 / 20.0
2021-12-20 14:54:48,713 - fba.demultiplex - INFO - Demultiplexing ...
2021-12-20 14:54:52,347 - fba.demultiplex - INFO - Generating heatmap ...
2021-12-20 14:54:54,168 - fba.demultiplex - INFO - Embedding ...
2021-12-20 14:55:12,277 - fba.__main__ - INFO - Done.
Heatmap of the relative abundance of features across all cells. Each column represents a single cell.
Preview the demultiplexing result: the numbers of singlets, multiplets and negative cells.
In [1]: import pandas as pd
In [2]: m = pd.read_csv('demultiplexed/matrix_cell_identity.csv.gz', index_col=0)
In [3]: m.loc[:, m.sum(axis=0) == 1].sum(axis=1)
Out[3]:
Bar1 5909
Bar2 2016
Bar3 2083
dtype: int64
In [4]: sum(m.sum(axis=0) > 1)
Out[4]: 875
In [5]: sum(m.sum(axis=0) == 0)
Out[5]: 4599
40k primary human mammary epithelial cells (HMECs)¶
Pre-processing¶
Inspect feature count matrix.
$ head HMEC_orig_MULTI_matrix.csv
CellID,Bar1,Bar2,Bar3,Bar4,Bar5,Bar6,Bar7,Bar8,Bar9,Bar10,Bar11,Bar13,Bar15,Bar18,Bar20,Bar22,Bar23,Bar24,Bar25,Bar27,Bar28,Bar29,Bar31,Bar32,Bar33,Bar34,Bar35,Bar36,Bar37,Bar39,Bar40,Bar41,Bar42,Bar43,Bar44,Bar45,Bar46,Bar47,Bar48,Bar49,Bar51,Bar53,Bar54,Bar55,Bar58,Bar59,Bar60,Bar61,Bar63,Bar65,Bar66,Bar67,Bar69,Bar70,Bar71,Bar72,Bar73,Bar75,Bar76,Bar77,Bar78,Bar80,Bar81,Bar82,Bar83,Bar84,Bar85,Bar88,Bar89,Bar90,Bar91,Bar92,Bar93,Bar94,Bar95,Bar96,nUMI_Bar
AAACCTGAGAAACGAG-1,1,3,5,23,1,3,0,1,6,11,4,4655,7,2,1,3,6,4,0,1,4,4,0,2,3,3,2,0,2,6,4,3,1,0,2,3,5,5,4,0,3,2,1,0,0,2,1,1,1,0,2,0,7,7,2,2,3,2,15,35,0,0,3,9,4,1,3,3,1,1,0,0,2,0,2,0,4907
AAACCTGAGAATGTGT-1,1,1,2,12,3,4,0,0,6,6,7,2,5,2,0,4,198,2,4,9,11,6,0,1,2,4,2,0,1,0,4,0,0,0,0,2,6,0,2,1,8,2,0,0,0,0,0,1,0,89,14,0,2,41,1,2,2,3,6,3,4,0,3,3,1,1,0,3,0,0,1,0,1,8,1,2,539
AAACCTGAGACCCACC-1,0,0,4,6,2,2,8,0,2,5,1,0,6,1,0,4,492,2,0,1,2,3,1,1,2,0,3,0,1,0,2,2,0,1,1,1,3,2,1,0,1,1,0,0,0,2,0,2,0,0,1,0,0,0,1,2,0,0,1,1,0,0,2,3,0,1,0,0,76,0,1,1,0,1,3,3,671
AAACCTGAGGAACTGC-1,1,0,3,7,4,5,2,0,5,5,5,1,2,1,2,2550,3,4,0,4,5,62,1,4,6,2,4,1,2,0,6,37,8,0,2,1,34,2,1,0,3,1,0,0,0,1,1,0,2,4,3,0,3,0,5,0,3,12,4,3,3,0,4,5,4,0,2,1,2,11,1,0,3,0,2,0,2866
AAACCTGCAACTGGCC-1,0,1,3,3,4,5,0,1,1,11,4,1,6,1,3,25,8,1,1,8,6,9,2,6,2,3,2,1,1,4,3,1,4,1,6,1,29,4,9,0,7,21,1,0,0,2,1,1,3,1,1,2,2,5,5,26,6,3,13,15,4,2,3,4,18,1,0,2,1,3,0,1,4,20,1,0,372
AAACCTGCAGATTGCT-1,1,0,2,5,2,4,1,1,8,6,4,0,4,0,1,7,2,4,0,2,1,8,0,0,15,3,2,4,1,2,3,3,1,2,0,3,3,14,3,0,2,3,0,0,0,0,2,515,0,2,2,0,1,1,2,2,3,3,5,0,1,2,1,3,11,0,3,3,0,0,0,1,1,0,4,3,715
AAACCTGCAGGGCATA-1,0,4,11,10,3,4,4,2,4,23,4,2,11,3,1,17,6,4,8,7,6,16,2,3,23,4,6,5,3,8,4,4,5,2,10,7,29,3,3,0,4,2,3,0,0,1,0,7,0,3,2,2,1,6,6,0,0,9,12,7,2398,3,6,6,9,6,1,8,9,4,1,758,4,8,7,0,3570
AAACCTGCATACGCCG-1,0,2,2,11,1,2,1,0,6,7,1,0,3,1655,1,3,1,3,2,10,7,5,0,0,1,1,2,0,1,1,4,1,10,0,0,2,4,2,0,0,0,0,2,1,1,1,1,0,0,5,0,2,4,0,7,1,4,1,4,2,3,2,1,2,3,1,2,6,2,2,0,1,1,59,3,0,1910
AAACCTGCATCACAAC-1,0,1,10,4,1,7,0,0,3,5,0,1,2,1,207,10,5,2,3,3,8,3,1,1,3,1,4,2,4,0,1,1,5,0,1,0,5,3,12,0,3,0,1,1,2,1,1,3,2,2,0,0,0,1,0,1,2,3,6,2,4,0,1,6,2,1,3,1,4,0,1,1,6,4,2,0,390
Pre-process feature count matrix.
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: m = pd.read_csv(filepath_or_buffer='HMEC_orig_MULTI_matrix.csv',
index_col=0)
In [4]: m = m.T.drop(['nUMI_Bar'])
In [5]: m.to_csv(path_or_buf='matrix_featurecount_HMEC_MULTI.csv.gz', compression='infer')
In [6]: m.sum(axis=0)
Out[6]:
CellID
AAACCTGAGAAACGAG-1 4905
AAACCTGAGAATGTGT-1 512
AAACCTGAGACCCACC-1 665
AAACCTGAGGAACTGC-1 2865
AAACCTGCAACTGGCC-1 360
...
TTTGTCATCGAATGGG-3 3436
TTTGTCATCGGAGCAA-3 662
TTTGTCATCGGATGTT-3 152
TTTGTCATCTGATTCT-3 27223
TTTGTCATCTGCCAGG-3 256
Length: 40009, dtype: int64
In [7]: np.median(m.sum(axis=0))
Out[7]: 1241.0
In [8]: m.shape
Out[8]: (76, 40009)
Demultiplexing¶
Cells are demultiplexed based on the abundance of features. Demultiplexing method 4
is implemented based on the method described in McGinnis, C., et al. (2019) with some modifications. A cell identity matrix is generated in the output directory: 0 means negative, 1 means positive. Set -v
to create visualization plots.
$ fba demultiplex -i matrix_featurecount_HMEC_MULTI.csv.gz -dm 4 -v
2021-12-20 16:31:12,889 - fba.__main__ - INFO - fba version: 0.0.x
2021-12-20 16:31:12,889 - fba.__main__ - INFO - Initiating logging ...
2021-12-20 16:31:12,889 - fba.__main__ - INFO - Python version: 3.9
2021-12-20 16:31:12,889 - fba.__main__ - INFO - Using demultiplex subcommand ...
2021-12-20 16:31:15,503 - fba.__main__ - INFO - Skipping arguments: "-q/--quantile", "-cm/--clustering_method", "-p/--prob"
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - Output directory: demultiplexed
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - Demultiplexing method: 4
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - UMI normalization method: clr
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - Visualization: On
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - Visualization method: tsne
2021-12-20 16:31:15,503 - fba.demultiplex - INFO - Loading feature count matrix: matrix_featurecount_HMEC_MULTI.csv.gz ...
2021-12-20 16:31:23,363 - fba.demultiplex - INFO - Number of cells: 40,009
2021-12-20 16:31:23,363 - fba.demultiplex - INFO - Number of positive cells for a feature to be included: 200
2021-12-20 16:31:23,430 - fba.demultiplex - INFO - Number of features: 76 / 76 (after filtering / original in the matrix)
2021-12-20 16:31:23,430 - fba.demultiplex - INFO - Features: Bar1 Bar2 Bar3 Bar4 Bar5 Bar6 Bar7 Bar8 Bar9 Bar10 Bar11 Bar13 Bar15 Bar18 Bar20 Bar22 Bar23 Bar24 Bar25 Bar27 Bar28 Bar29 Bar31 Bar32 Bar33 Bar34 Bar35 Bar36 Bar37 Bar39 Bar40 Bar41 Bar42 Bar43 Bar44 Bar45 Bar46 Bar47 Bar48 Bar49 Bar51 Bar53 Bar54 Bar55 Bar58 Bar59 Bar60 Bar61 Bar63 Bar65 Bar66 Bar67 Bar69 Bar70 Bar71 Bar72 Bar73 Bar75 Bar76 Bar77 Bar78 Bar80 Bar81 Bar82 Bar83 Bar84 Bar85 Bar88 Bar89 Bar90 Bar91 Bar92 Bar93 Bar94 Bar95 Bar96
2021-12-20 16:31:23,432 - fba.demultiplex - INFO - Total UMIs: 154,135,306 / 154,135,306
2021-12-20 16:31:23,462 - fba.demultiplex - INFO - Median number of UMIs per cell: 1,241.0 / 1,241.0
2021-12-20 16:31:23,462 - fba.demultiplex - INFO - Demultiplexing ...
2021-12-20 16:33:51,278 - fba.demultiplex - INFO - Generating heatmap ...
2021-12-20 16:35:49,956 - fba.demultiplex - INFO - Embedding ...
2021-12-20 16:36:58,791 - fba.__main__ - INFO - Done.
Heatmap of the relative abundance of features across all cells. Each column represents a single cell.
t-SNE embedding of cells based on the abundance of features (no transcriptome information used). Colors indicate the index status for each cell, as called by FBA. This is a re-creation of Fig. 2a in McGinnis, C., et al. (2019).
Preview the demultiplexing result: the numbers of singlets, multiplets and negative cells.
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: m = pd.read_csv('demultiplexed/matrix_cell_identity.csv.gz', index_col=0)
In [4]: m.loc[:, m.sum(axis=0) == 1].sum(axis=1)
Out[4]:
Bar1 121
Bar2 201
Bar3 745
Bar4 681
Bar5 257
...
Bar92 259
Bar93 452
Bar94 354
Bar95 366
Bar96 255
Length: 76, dtype: int64
In [5]: np.median(m.loc[:, m.sum(axis=0) == 1].sum(axis=1))
Out[5]: 276.0
In [6]: sum(m.sum(axis=0) > 1)
Out[6]: 3597
In [7]: sum(m.sum(axis=0) == 0)
Out[7]: 13448


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Congress announces six candidates for Karnataka bypolls
by PTIThe Congress on Saturday released a list of six candidates for the December 5 assembly bypolls in Karnataka.
The party has fielded Gajanan Balachandra Mangasuli from Athani, Bharamgouda Alagouda Kage from Kagwad and Lakhan Jarkiholi from Gokak.
It has also given nomination to Venkatrao Ghorpade from Vijayanagara, Rizwan Arshad from Shivajinagar and K B Chandrashekar from Krishnarajpet.
A party statement said Congress president Sonia Gandhi has approved the names of the candidates.
The Congress also named Praveen Peter as its candidate for the biennial election to the legislative council of Karnataka.
Bypolls will be held in 15 constituencies as the sitting Congress-JDS MLAs were disqualified by then Assembly Speaker K R Ramesh Kumar ahead of a trust vote, which led to the fall of the HD Kumaraswamy government and the return of the B S Yediyurappa-led BJP to power in July.
In total 17 MLAs were disqualified but bypolls will be held in 15 of those seats as by-elections to Maski and RR Nagar constituencies are withheld with separate cases regarding them pending before the high court.
Sixteen of the 17 disqualified Congress-JD(S) legislators have joined the BJP and 13 of them have been given nomination by the saffron party from their respective seats.
The BJP will need to win at least six of these 15 seats to remain in power. Of the 15 constituencies, 12 were represented by Congress and three by JD(S).
The last date for filing of nominations for the bypolls is November 18.


PART III. SEARCH WARRANTS
Cross References
See Const. art. I, §7.
Rules of Court
Search and seizure, see HRPP rule 41.
§803-31 Search warrant; defined. A search warrant is an order in writing made by a judge or other magistrate, directed to an officer of justice, commanding the officer to search for certain articles supposed to be in the possession of, or anticipated to be in the possession of, one who is charged with having obtained them illegally, or who keeps them illegally, or with the intent of using them as the means of committing a certain offense. A search warrant may identify an individual or entity authorized pursuant to section 803-37 to provide technical assistance to the officer. [PC 1869, c 48, §2; RL 1925, §3959; RL 1935, §5411; RL 1945, §10716; RL 1955, §255‑16; HRS §708‑31; ren L 1972, c 9, pt of §1; gen ch 1985; am L 1998, c 65, §2; am L 2017, c 196, §1]
Case Notes
Void warrant. 4 H. 584 (1883).
This is a definition and warrant may issue to obtain article from one not accused. 6 H. 684 (1888).
Liquor. 28 H. 173 (1925).
Requirements of probable cause based upon hearsay construed. 60 H. 205, 588 P.2d 909 (1978).
Section (pre-1998) does not permit the issuance of an anticipatory search warrant. 87 H. 80, 951 P.2d 1243 (1998).
Where 1998 amendment to section did not express a legislative intent that it be applied retroactively, amendment does not apply retroactively. 88 H. 433, 967 P.2d 265 (1998).


My team designed an app for our University's shuttle service. In our group of 3, everyone participated in higher level design discussion but my official role was primarily in front end development. The Safe Ride currently uses pencil and paper to schedule rides. They asked for an app that would get rid of the paper aspect and make it easy to see if there are conflicts in schedules. Only parties of 3 or less can make a reservation and a reservation can be made at any time.
We chose to focus mostly on making a basic app that was easy to use. It has a login system for Safe Ride workers. The admin page we wanted to have a time line of reservations (one for each van in use) so it was easy to see if 2 reservations were conflicting. The client side is just a form to make a reservation. We wanted to maintain that the dispatcher has almost complete control of scheduling rather than try and automate it. This was mostly because of time (worked on this for a few weeks), but also to make sure the app wasn't hard to learn how to use if the person was used to paper.


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Hello. We work with the UX Team at Interswitch's Application Development unit. This is our space to share lessons we've learned and keep learning over time.
We hope you'd enjoy reading our blog and picking up one or two things. It'd be awesome to hear your thoughts too and share them here even.


#include <DW1000.h>
Static Public Member Functions | |
| static void | begin (int irq, int rst) |
| static void | begin (int irq) |
| static void | select (int ss) |
| static void | reselect (int ss) |
| static void | end () |
| static void | reset () |
| static void | softReset () |
| static void | getPrintableDeviceIdentifier (char msgBuffer[]) |
| static void | getPrintableExtendedUniqueIdentifier (char msgBuffer[]) |
| static void | getPrintableNetworkIdAndShortAddress (char msgBuffer[]) |
| static void | getPrintableDeviceMode (char msgBuffer[]) |
| static void | setNetworkId (unsigned int val) |
| static void | setDeviceAddress (unsigned int val) |
| static void | setReceiverAutoReenable (boolean val) |
| static void | setInterruptPolarity (boolean val) |
| static void | suppressFrameCheck (boolean val) |
| static void | setDataRate (byte rate) |
| static void | setPulseFrequency (byte freq) |
| static void | setPreambleLength (byte prealen) |
| static void | setChannel (byte channel) |
| static void | setPreambleCode (byte preacode) |
| static DW1000Time | setDelay (const DW1000Time &delay) |
| static void | receivePermanently (boolean val) |
| static void | setData (byte data[], unsigned int n) |
| static void | setData (const String &data) |
| static void | getData (byte data[], unsigned int n) |
| static void | getData (String &data) |
| static unsigned int | getDataLength () |
| static void | getTransmitTimestamp (DW1000Time &time) |
| static void | getReceiveTimestamp (DW1000Time &time) |
| static void | getSystemTimestamp (DW1000Time &time) |
| static void | getTransmitTimestamp (byte data[]) |
| static void | getReceiveTimestamp (byte data[]) |
| static void | getSystemTimestamp (byte data[]) |
| static float | getReceivePower () |
| static float | getFirstPathPower () |
| static float | getNoiseValue () |
| static void | interruptOnSent (boolean val) |
| static void | interruptOnReceived (boolean val) |
| static void | interruptOnReceiveFailed (boolean val) |
| static void | interruptOnReceiveTimeout (boolean val) |
| static void | interruptOnReceiveTimestampAvailable (boolean val) |
| static void | interruptOnAutomaticAcknowledgeTrigger (boolean val) |
| static void | attachErrorHandler (void(*handleError)(void)) |
| static void | attachSentHandler (void(*handleSent)(void)) |
| static void | attachReceivedHandler (void(*handleReceived)(void)) |
| static void | attachReceiveFailedHandler (void(*handleReceiveFailed)(void)) |
| static void | attachReceiveTimeoutHandler (void(*handleReceiveTimeout)(void)) |
| static void | attachReceiveTimestampAvailableHandler (void(*handleReceiveTimestampAvailable)(void)) |
| static void | idle () |
| static void | newConfiguration () |
| static void | commitConfiguration () |
| static void | newReceive () |
| static void | startReceive () |
| static void | newTransmit () |
| static void | startTransmit () |
| static void | enableMode (const byte mode[]) |
| static void | setDefaults () |
| static void | getPrettyBytes (byte cmd, word offset, char msgBuffer[], unsigned int n) |
| static void | getPrettyBytes (byte data[], char msgBuffer[], unsigned int n) |
|
inlinestatic |
|
inlinestatic |
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inlinestatic |
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inlinestatic |
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inlinestatic |
|
inlinestatic |
|
static |
Initiates and starts a sessions with one or more DW1000.
| [in] | irq | The interrupt line/pin that connects the Arduino. |
| [in] | rst | The reset line/pin for hard resets of ICs that connect to the Arduino. |
|
static |
Initiates and starts a sessions with one or more DW1000. Soft resets (i.e. command triggered) are used and it is assumed that no reset line is wired.
| [in] | irq | The interrupt line/pin that connects the Arduino. |
|
static |
|
static |
Specifies the mode of operation for the DW1000. Modes of operation are pre-defined combinations of data rate, pulse repetition frequency, preamble and channel settings that properly go together. If you simply want the chips to work, choosing a mode is preferred over manual configuration.
The following modes are pre-configured and one of them needs to be chosen:
MODE_LONGDATA_RANGE_LOWPOWER
(basically this is 110 kb/s data rate, 16 MHz PRF and long preambles)MODE_SHORTDATA_FAST_LOWPOWER
(basically this is 6.8 Mb/s data rate, 16 MHz PRF and short preambles)MODE_LONGDATA_FAST_LOWPOWER
(basically this is 6.8 Mb/s data rate, 16 MHz PRF and long preambles)MODE_SHORTDATA_FAST_ACCURACY
(basically this is 6.8 Mb/s data rate, 64 MHz PRF and short preambles)MODE_LONGDATA_FAST_ACCURACY
(basically this is 6.8 Mb/s data rate, 64 MHz PRF and long preambles)MODE_LONGDATA_RANGE_ACCURACY
(basically this is 110 kb/s data rate, 64 MHz PRF and long preambles)Note that LOWPOWER and ACCURACY refers to the better power efficiency and improved transmission performance of 16 MHZ and 64 MHZ PRF respectively (see setPulseFrequency()
).
The default setting that is selected by setDefaults()
is MODE_LONGDATA_RANGE_LOWPOWER.
| [in] | mode | The mode of operation, encoded by the above defined constants. |
|
static |
Tells the driver library that no communication to a DW1000 will be required anymore. This basically just frees SPI and the previously used pins.
|
static |
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static |
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static |
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static |
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static |
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static |
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static |
|
static |
Generates a String representation of the device identifier of the chip. That usually are the letters "DECA" plus the version and revision numbers of the chip.
| [out] | msgBuffer | The String buffer to be filled with printable device information. Provide 128 bytes, this should be sufficient. |
|
static |
Generates a String representation of the main operational settings of the chip. This includes data rate, pulse repetition frequency, preamble and channel settings.
| [out] | msgBuffer | The String buffer to be filled with printable device information. Provide 128 bytes, this should be sufficient. |
|
static |
Generates a String representation of the extended unique identifier (EUI) of the chip.
| [out] | msgBuffer | The String buffer to be filled with printable device information. Provide 128 bytes, this should be sufficient. |
|
static |
Generates a String representation of the short address and network identifier currently defined for the respective chip.
| [out] | msgBuffer | The String buffer to be filled with printable device information. Provide 128 bytes, this should be sufficient. |
|
static |
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static |
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static |
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static |
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static |
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static |
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static |
(Re-)selects a specific DW1000 chip for communication. In case of a single DW1000 chip in use this call is not needed; only a call to select()
has to be performed once at start up. Other than a call to select()
this function does not perform an initial setup of the (again-)selected chips and assumes it to have a valid configuration loaded.
| [in] | ss | The chip select line/pin that connects the to-be-selected chip with the Arduino. |
|
static |
Resets all connected or the currently selected DW1000 chip. A hard reset of all chips is preferred, although a soft reset of the currently selected one is executed if no reset pin has been specified (when using begin(int)
, instead of begin(int, int)
).
|
static |
Selects a specific DW1000 chip for communication. In case of a single DW1000 chip in use this call only needs to be done once at start up, but is still mandatory. Other than a call to reselect()
this function performs an initial setup of the now-selected chip.
| [in] | ss | The chip select line/pin that connects the to-be-selected chip with the Arduino. |
|
static |
|
static |
|
static |
|
static |
Specifies the data transmission rate of the DW1000 chip. One of the values
TRX_RATE_110KBPS
(i.e. 110 kb/s)TRX_RATE_850KBPS
(i.e. 850 kb/s)TRX_RATE_6800KBPS
(i.e. 6.8 Mb/s) has to be provided.See setDefaults()
and enableMode()
for additional information on data rate settings.
| [in] | rate | The data transmission rate, encoded by the above defined constants. |
|
static |
|
static |
|
static |
(Re-)set the device address (i.e. short address) for the currently selected chip. This setting is important for certain MAC address filtering rules.
| [in] | val | An arbitrary numeric device address. |
|
static |
Specifies the interrupt polarity of the DW1000 chip.
As part of setDefaults()
if the device is in idle mode, interrupt polarity is set to active high.
| [in] | val | true for active high interrupts, false for active low interrupts. |
|
static |
(Re-)set the network identifier which the selected chip should be associated with. This setting is important for certain MAC address filtering rules.
| [in] | val | An arbitrary numeric network identifier. |
|
static |
|
static |
|
static |
Specifies the pulse repetition frequency (PRF) of data transmissions with the DW1000. Either
TX_PULSE_FREQ_16MHZ
(i.e. 16 MHz)TX_PULSE_FREQ_64MHZ
(i.e. 64 MHz) has to be chosen.Note that the 16 MHz setting is more power efficient, while the 64 MHz setting requires more power, but also delivers slightly better transmission performance (i.e. on communication range and timestamp accuracy) (see DWM1000 User Manual, section 9.3).
See setDefaults()
and enableMode()
for additional information on PRF settings.
| [in] | freq | The PRF, encoded by the above defined constants. |
|
static |
Specifies whether the DW1000 chip should, again, turn on its receiver in case that the last reception failed.
This setting is enabled as part of setDefaults()
if the device is in idle mode.
| [in] | val | true to enable, false to disable receiver auto-reenable. |
|
static |
Resets the currently selected DW1000 chip programmatically (via corresponding commands).
|
static |
|
static |
|
static |
Specifies whether to suppress any frame check measures while sending or receiving messages. If suppressed, no 2-byte checksum is appended to the message before sending and this checksum is also not expected at receiver side. Note that when suppressing frame checks, the error event handler (attached via attachReceiveErrorHandler()
) will not be triggered if received data is corrupted.
Frame checks are enabled as part of setDefaults()
if the device is in idle mode.
| [in] | val | true to suppress frame check on sender and receiver side, false otherwise. |
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static |
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| User Details | |
| Firstname | |
| Lastname | |
| Degree | |
| Field | |
| Field | |
| Edit Information | |
| Change Password |
| S.N | Section | Section | Course | Start Date | End Date | Faculty |
|---|---|---|---|---|---|---|
| 1 | April | Section-1 | SWE | 2020-04-20 | 2020-05-20 | Emdad Khan |
| 2 | May | Section-2 | WAP | 2020-05-20 | 2020-06-20 | Rakesh Shrestha |
| 3 | June | Section-3 | Algorithm | 2020-06-20 | 2020-07-20 | Emdad Khan |
| 4 | July | Section-1 | WAA | 2020-07-20 | 2020-08-20 | Chakrapani Chalisee |


In order to support all versions of mocha, we have to jump through some hoops here.
mocha >= ‘0.13.0’:
require 'mocha/api' is required require 'mocha/object' raises a LoadError b/c the file no longer exists
mocha < ‘0.13.0’, >= ‘0.9.7’
require 'mocha/api' is required require 'mocha/object' is required
mocha < ‘0.9.7’:
require 'mocha/api' raises a LoadError b/c the file does not yet exist require 'mocha/standalone' is required require 'mocha/object' is required


@RestController
@RequestMapping(value="/api/buildings/{buildingId}/residentialRequests")
public class ResidentialRequestController
extends java.lang.Object
| Constructor and Description |
|---|
ResidentialRequestController(TenantService tenantService,
UserService userService,
ApartmentService apartmentService,
ResidentialRequestService residentialRequestService) |
| Modifier and Type | Method and Description |
|---|---|
org.springframework.http.ResponseEntity |
accept(long buildingId,
long id)
PUT /api/buildings/buildingID/residentialRequests/ID
Accepts a tenant's residential request for a building.
|
org.springframework.http.ResponseEntity |
create(long buildingId,
TenantResidenceDto tenantResidenceDto)
POST /api/buildings/buildingID/residentialRequests
Creates a new residential request for a building.
|
org.springframework.http.ResponseEntity |
delete(long buildingId,
long id)
DELETE /api/buildings/buildingID/residentialRequests/ID
Deletes a building's residential request.
|
org.springframework.http.ResponseEntity |
findAll()
GET /api/buildings/buildingID/residentialRequests
Gets all building's unaccepted residential requests.
|
org.springframework.http.ResponseEntity |
findMyRequest()
GET /api/buildings/buildingID/residentialRequests/ID
Gets a building's residential request by tenant's ID.
|
public ResidentialRequestController(TenantService tenantService, UserService userService, ApartmentService apartmentService, ResidentialRequestService residentialRequestService)
@PutMapping(value="/{id}") @PreAuthorize(value="hasAuthority(\'ADMIN\') or @userService.isSupervisorOf(#buildingId)") public org.springframework.http.ResponseEntity accept(@PathVariable long buildingId, @PathVariable long id)
buildingId
- building IDid
- building's residentialRequests ID@PostMapping @PreAuthorize(value="hasAuthority(\'TENANT\')") public org.springframework.http.ResponseEntity create(@PathVariable long buildingId, @RequestBody TenantResidenceDto tenantResidenceDto)
buildingId
- building IDtenantResidenceDto
- DTO with the requested apartment number@DeleteMapping(value="/{id}") @PreAuthorize(value="hasAnyAuthority(\'ADMIN\', \'TENANT\') or @userService.isSupervisorOf(#buildingId)") public org.springframework.http.ResponseEntity delete(@PathVariable long buildingId, @PathVariable long id)
buildingId
- building IDid
- building's residentialRequests ID@GetMapping @PreAuthorize(value="hasAnyAuthority(\'SUPERVISOR\', \'ADMIN\')") public org.springframework.http.ResponseEntity findAll()
@GetMapping(value="/my") @PreAuthorize(value="hasAuthority(\'TENANT\')") public org.springframework.http.ResponseEntity findMyRequest()


Hi, my name is Dana Ng.
I'm a full-stack web developer who designs
beautiful, clean and functional web applications.
Portfolio
About
"I like to die on Mars, just not on impact" - Elon Musk
Born and raised in Kentucky to Chinese immigrant parents. I lived in Ohio, Missouri, and Arizona before settling down in Northern California. I code because I love learning and applying my new knowledge to building amazing web apps. I love living a minimalist lifestyle and creating as little waste as possible. I believe that material goods only weigh you down, but good experiences can last a lifetime. I am an aspiring polygot and world traveler. So far, some of the countries I have traveled to include Japan, China, South Korea, Turkey, Iraq, Germany and more. Not only am I an avid traveler and love going hiking outdoors, but I also enjoy making, eating and taking pictures of delicious foods.


I'm A Celebrity viewers ask why reunions with loved ones was cut in final
Different to previous finals
by Richard BellThis year's I'm A Celebrity... Get Me Out Of Here! is finally over and Jacqueline Jossa crowned Queen of the Jungle.
In emotional scenes last night (09.12.19), the former EastEnders actress beat Coronation Street's Andy Whyment and radio DJ Roman Kemp to become the winner.
Read more: I'm A Celebrity producers 'won't be bringing Holly Willoughby back', despite viewers' demands
The episode mostly stuck to the usual I'm A Celebrity final format, putting each of the finalists through a last Bushtucker Trial before revealing who had come in third place.
Once Roman had said his goodbyes and done his exit interview, Jac and Andy were brought in for a chat with hosts Ant McPartlin and Dec Donnelly before the winner was revealed.
But viewers noticed that there were several key changes to the format of the final this year.
Most notably, the remaining celebs didn't get to meet their loved ones in the camp.
Usually, the contestants get to see family members before a winner is crowned and, as it usually makes for emotional viewing, the absence was felt among viewers at home.
Similarly, the way the celebrities exited the jungle appeared to have been switched up.
When Jacqueline walked across the bridge holding her wooden sceptre and wearing her laurel crown, she rushed tearfully into the arms of her husband, Dan Osborne.
But when Roman crossed the bridge, viewers didn't get to see him greeted by a loved one, while the scene of Andy walking across wasn't shown at all.
On Twitter, viewers wondered why the key scenes appeared to have been cut from the final episode.
One said: "No one met Roman at the end of the bridge? I'm sure the majority of lasses in the UK would have #ImACeleb."
Another wrote: "If I knew no one was going to meet Roman at the end of the bridge, I could have taken their place #ImACeleb."
A third tweeted, "Andy doesn't get his walk off across the bridge?" with a sad face emoji.
Someone else said: "This whole experience meant so much to Andy and he doesn't even get to walk over the bridge because he came second."
"Gutted that the families didn't go into I'm A Celeb this year," wrote a fifth.
Another said: "Feel like the final's been quite rushed this year, they didn't even have their families surprise them in the jungle #ImACeleb."
"Just realised that none of the celebs got to see their families a few days before they would've finished," said someone else, adding for clarity: "You know, when they get surprised?"
ED! contacted ITV for comment and an I'm A Celebrity spokesperson said: "Families entering the jungle is a show format point that we don't do every year, unlike letters from home and celebrity cyclone."
Read more: Corrie's Samia Longchambon reveals sweet childhood memory with I'm A Celebrity's Andy Whyment
There was another key change to the final format that viewers didn't seem happy about.
After Jacqueline was named Queen of the Jungle, fans of the show were naturally expecting last year's King, football manager Harry Redknapp, to hand the crown over to the new winner.
But instead, Extra Camp hosts Emily Atack, Joel Dommett and Adam Thomas brought it out.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


MICRO-GUARD (AF)- miconazole nitrate powder
Coloplast Manufacturing US, LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
For Effective Treatment of Topical Fungal Infections
AF
Drug Facts
Active ingredient
Miconazole Nitrate, 2%
Uses Treats jock itch, ringworm, and athlete's foot ►
Warnings
For external use only.
When using this product
- avoid contact with the eyes
- if eye contact occurs, flush with water
- do not use on children under 2 years of age unless directed by a doctor.
Stop using this product
- for athlete's foot or ringworm if irritation occurs or if there is no improvement within 4 weeks, discontinue use and consult a doctor
- for jock itch if irritation occurs or if there is no improvement within 2 weeks, discontinue use and consult a doctor.
Keep this and all drugs out of reach of children.
If swallowed, get medical help or contact a Poison Control Center right away.
Directions
- clean the affected area and dry thoroughly
- apply over the affected area twice daily (morning and night) or as directed by a doctor
- supervise children in the use of this product.
For athlete's foot
- pay special attention to spaces between the toes
- wear well-fitting, ventilated shoes, and change shoes and socks at least once daily
For athlete's foot and ringworm
For jock itch
If condition persists longer, consult a doctor. This product is not effective on the scalp or nails.
Inactive ingredients corn starch USP, sodium bicarbonate, tri-calcium phosphate
Manufactured for Coloplast A/S DK-3050 Humlebaek, Denmark
Distributed by: Coloplast Corp. Minneapolis, MN 55411 U.S.A.
1-800-533-0464 www.us.coloplast.com Product #1337
©2008-11, Coloplast Corp. Made in the U.SA
PRINCIPAL DISPLAY PANEL - 3 OZ. (85 g)
NDC 11701-038-16
Micro-Guard®
Powder
Antifungal Powder
With Miconazole
Nitrate 2%
For Effective Treatment of Topical Fungal Infections
AF
Coloplast
3 OZ. (85 g)
L8-640


MSM_PELE - MSM Free Energy Calculation Algorithm¶
MSM PELE is a Python library with the aim to calculate absolute free energies through MSM analysis over paralel monte carlo simulations. Currently, MSM PELE is build on top of of next softwares:
Protein Energy Landscape Exploration Software
Adaptive Sampling Simulation to boost Performance
Markov State Model Analysis
Technical Features:
Code is implemented in Python (supports 2.7)
Runs on Linux (64 bits), Windows or MAC (64 bits).
OpenmMP&MPI Implementation
Schrodinger (2016/17/18) is needed.


Florida school finds alternative for frog dissections
by WVLT NewsNEW PORT RICHEY, Fla. (AP) -- No frogs were harmed in the making of a Florida high school’s science class.
J.W. Mitchell High School in New Port Richey began using synthetic frogs for educational dissections last Wednesday. Pasco County Superintendent Kurt Browning says it’s the first school in the world to use the technology.
The lives of real frogs are being spared at a cost of $150 per synthetic frog. Tampa-based developer SynDaver received funds from People for the Ethical Treatment of Animals to help create the “SynFrog.”
SynDaver says the fake frogs are made of water, fibers and salts and can be reused. Founder and CEO Dr. Christopher Sakezles says the synthetic frogs are also safer because there are no potentially harmful chemicals.
PETA says three million frogs are killed for classroom use each year.


Trirand Inc offers the exporting web service free of charge. If you include the exporting module in your charts, two buttons will appear in the upper right. One button prints the chart, which is done on the client side only. The other button handles exporting. By default, an SVG representation of the chart is sent by POST to http://trirand.com/jqcharts/, where it is converted using Apache'sBatik converter to PDF, PNG or JPEG. SERVER


I'm A Celeb Andrew Whyment becomes new favourite to win after just one episode
I’m A Celebrity star Andy Whyment is the new favourite to become king of the jungle after he made his debut alongside Cliff Parisi.
The Coronation Street star appeared dressed as a cowboy to take on a challenge in Ol’ Dingo Town.

Trying to control his laughter at the former EastEnders star, he fangirled over the show and said: ‘I can’t help it sorry Cliff. It’s just making me laugh, I feel like I’m watching the TV at home.’
His antics have made him an instant favourite with bookies to win the series.
Advertisement Advertisement
Despite only just arriving in the jungle, the actor’s odds of winning are now 9/4, down from 10/1.
Roman Kemp is in second place at 3/1 followed by Jacqueline Jossa at 9/2 and Caitlyn Jenner at 13/2.
Jessica O’Reilly of Ladbrokes said: ‘Andrew’s barely been in the jungle a minute and he’s stormed to the top of the betting.
‘The self-confessed super fan of the show has really struck a chord with punters and dingo dollars are coming in thick and fast for him to emerge as the winner.’
Ian Wright is next on the list at 10/1 with James Haskell at 12/1.
Their arrival did cause some tension, as two of the current campmates had to pick two people to head to the Jailhouse to join Andy and Cliff.
In order to choose they decided to draw named water bottles, which Jacqueline Jossa felt was ‘scary’.
When Kate Garraway and Ian Wright suggested that she could rule herself, she added: ‘Yeah but it’s not very heroic.’
Andrew appeared to agree, and said: ‘I think it has to be everyone in, I don’t think it’s fair to count yourself out.
‘It’s an ordeal that has to be shared. It’s not back to Snake Rock, it could be anything.’
Adele Roberts chipped in: ‘I think it’s just anybody that’s up for it. If anyone wants to stay they should be allowed.’
Advertisement Advertisement
Things began to get heated and ended with Jacqueline and Nadine Coyle choosing not to take part.
Speaking to the bush telegram, Andrew said he didn’t understand why the women got to rule themselves out.
‘Jacqueline and Nadine said they didn’t want to go and erm…that’s the end of that…’ he recalled.
Eventually – are tensions rose yet again – Kate and Andrew agreed to go to the Jailhouse.
The latest falling out came after Andrew overheard Jaq talking about him in a seriously awkward moment.
I’m A Celebrity airs weeknights at 9pm on ITV.


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Energy from the sun is the cleanest and most abundant form of energy available. As prices for traditional energy sources rise and there is a growing concern about CO2 emissions, the potential for solar energy is huge.
According to the the local energy authority, effective use of solar energy over the next 30 years could cover up to 1/3 of the total energy consumption and ultimately 2/3, if we invest rationally in low-energy buildings and seasonal storage solutions.
Solar panels are made up of photovoltaic (PV) cells, which convert sunlight into direct current (DC) electricity. The optimal location of a solar panel system is directly toward the south and with a slope of 25-45 degrees. The solar panels can also be mounted on flat roofs or directly on the soil by means of special mounting systems.
Last updated 3 mins ago
A monitoring system sends information about your solar installation, including the amount of energy it generates, to your solar provider, to maintain optimal system performance.
Last updated 3 mins ago
Your solar system is still connected to a local utility grid to provide power after sundown. Connection to the grid also allows your solar system to return to the grid any excess clean energy your system generates during the day. A utility meter measures your power consumption and solar output.
Last updated 3 mins ago
The purpose of solar regulators, or charge controllers as they are also called, is to regulate the current from the solar panels to prevent the batteries from overcharging. Overcharging causes gassing and loss of electrolyte resulting in damage to the batteries. Batteries simply store the energy for a few days. Generally, it is recommended that the batteries are sized in a way that they have around 3 -4 days back-up capacity. Select a battery that is capable of supplying the total power usage without being discharged more than 70% to cover days with low sunlight and to ensure a longer battery life.
Last updated 3 mins ago


|
Halide
12.0.0
|
A fragment of front-end syntax of the form f(x, y, z), where x, y, z are Vars or Exprs. More...
#include <Func.h>
Public Member Functions | |
| FuncRef (const Internal::Function &, const std::vector< Expr > &, int placeholder_pos=-1, int count=0) | |
| FuncRef (Internal::Function, const std::vector< Var > &, int placeholder_pos=-1, int count=0) | |
| Stage | operator= (const Expr &) |
| Use this as the left-hand-side of a definition or an update definition (see RDom). More... | |
| Stage | operator= (const Tuple &) |
| Use this as the left-hand-side of a definition or an update definition for a Func with multiple outputs. More... | |
| Stage | operator+= (Expr) |
| Define a stage that adds the given expression to this Func. More... | |
| Stage | operator+= (const Tuple &) |
| Stage | operator+= (const FuncRef &) |
| Stage | operator-= (Expr) |
| Define a stage that adds the negative of the given expression to this Func. More... | |
| Stage | operator-= (const Tuple &) |
| Stage | operator-= (const FuncRef &) |
| Stage | operator*= (Expr) |
| Define a stage that multiplies this Func by the given expression. More... | |
| Stage | operator*= (const Tuple &) |
| Stage | operator*= (const FuncRef &) |
| Stage | operator/= (Expr) |
| Define a stage that divides this Func by the given expression. More... | |
| Stage | operator/= (const Tuple &) |
| Stage | operator/= (const FuncRef &) |
| Stage | operator= (const FuncRef &) |
| operator Expr () const | |
| Use this as a call to the function, and not the left-hand-side of a definition. More... | |
| FuncTupleElementRef | operator[] (int) const |
| When a FuncRef refers to a function that provides multiple outputs, you can access each output as an Expr using operator[]. More... | |
| size_t | size () const |
| How many outputs does the function this refers to produce. More... | |
| Internal::Function | function () const |
| What function is this calling? More... | |
A fragment of front-end syntax of the form f(x, y, z), where x, y, z are Vars or Exprs.
If could be the left hand side of a definition or an update definition, or it could be a call to a function. We don't know until we see how this object gets used.
| Halide::FuncRef::FuncRef | ( | const Internal::Function & | , |
| const std::vector< Expr > & | , | ||
| int | placeholder_pos = -1 , |
||
| int | count = 0 |
||
| ) |
| Halide::FuncRef::FuncRef | ( | Internal::Function | , |
| const std::vector< Var > & | , | ||
| int | placeholder_pos = -1 , |
||
| int | count = 0 |
||
| ) |
Use this as the left-hand-side of a definition or an update definition (see RDom).
Use this as the left-hand-side of a definition or an update definition for a Func with multiple outputs.
| Halide::FuncRef::operator Expr | ( | ) | const |
Use this as a call to the function, and not the left-hand-side of a definition.
Only works for single-output Funcs.
| FuncTupleElementRef Halide::FuncRef::operator[] | ( | int | ) | const |
| size_t Halide::FuncRef::size | ( | ) | const |
How many outputs does the function this refers to produce.
|
inline |
What function is this calling?
Definition at line 569 of file Func.h.
Referenced by Halide::FuncTupleElementRef::function().


--- layout: page title: Overthinking subtitle: I Have Opinions Too desc: I can't stop thinking about stuff permalink: /overthinking/ ---
After much consternation, I finally wrote a full article about what I think of Open Source project maintainers opening up about their burnout experiences.


Ah Ruby. Remember that? Nice, easy syntax. Just a start and and (end) to our loops. Well those days are over, bub. Welcome to Javascript town, where we use brackets and stuff.
It's easy to get confused at what is different at first, so lets go over the main differences.
First of all we need brackets in our javascript. These tell us when a loop begins and ends. So while in Ruby, a loop might look like.
While x < 5 do puts "Ruby is easy" x += 1 endThe same loop in ole' JS would look like:
while (x < 5) { console.log("Javascript is harder"); x += 1; }As you can see, the brackets take the place of the do and end markers. Did you see the other difference? We also need parenthesis around our condition.
for i in 1..5 puts "Ruby is Easy" puts i endThey are a bit more complicated in JS.
for (var i = 1; i <= 5; i++) { console.log("Javascript is harder"); console.log(i); }So in Ruby we have to declare the variable and the range and it will assume we want to go up by one. In javascript we have to be more specific, first setting the variable and what it starts at. What condition to compare it to and keep going while its true, and how much to increment i by. It is more complicated but as a result you can do more things. For example you could go up by .5 * i or you could multiply i by a variable as in i = i * x. In general it seems that stricter syntax results in greater flexibility in javascript.
array.each do |num| puts num endWhere the num represents the value of the array at the current index. In Javascript you can use a special for loop that looks like this:
for (var i = 0 ;array[i]; i++) { console.log(array[i]); }This looks weird because we are used to seeing a conditional statement in the middle part of the for loop declaration. In this case, when we put in array[i], javascript assumes that we want to go to the end of that array. We still need our starting point for i and i declared as a variable, and how much to increase i by.


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|
PublishQueueAsyncRK
|
A library for asynchronous Particle.publish
This library is designed for fire-and-forget publishing of events. It allows you to publish, even when not connected to the cloud, and the events are saved until connected.
Also, it's entirely non-blocking. The publishing occurs from a separate thread so the loop is never blocked.
Normally, if you're careful you can avoid publish blocking loop for long periods of time, but it still regularly blocks for 1-2 seconds on the Electron. Using this library eliminates all blocking and publishQueue.publish returns immediately, always.
And it uses retained memory, so the events are saved when you reboot or go into sleep mode. They'll be transmitted when you finally connect to the cloud again.
Version 0.0.3 of this library and newer support WITH_ACK mode!
Also note: This library requires system firmware 0.7.0 or later. The publish flags were different in 0.6.x, and this library doesn't support the old method. Since it uses threads, it does not work on the Spark Core.
Version 0.1.0 supports multiple back-end storage methods, including:
You'll need to add the PublishQueueAsyncRK library. It's in the community libraries and here on Github.
In your main source file, you'll need to allocate a retained buffer and initialize the object:
Note that even when cloud connected, all events are copied to this buffer first (that's what makes it asynchronous), so it must be larger than the largest event you want to send. It must be at least 704 bytes, and preferably at least 1024 bytes.
You can also use a buffer in regular (not retained) memory.
For other storage methods (FRAM, flash memory, etc. see below). The initialization varies, but usage is the same.
Then, when you want to send, use one of these variants instead of the Particle.publish version:
Note that like system 0.8.0 and later, you must specify PUBLIC or PRIVATE.
You can also use NO_ACK, if you'd like:
I recommend using WITH_ACK. The worker thread will wait for the ACK from the cloud before dequeing the event. This allows for several tries to send the event, and if it does not work, the send will be tried again in 30 seconds if cloud-connected. New events can still be queued during this time.
Since the queue is stored in retained memory, you can even reset the device and the queue will be transmitted on boot.
You can call the publishQueue.publish method from any thread, including the main loop thread, software timer, or your own worker thread. You cannot call it from an interrupt service routine (ISR) such as from attachInterrupt or a hardware timer (SparkIntervalTimer), however.
The data is stored packed, so if your event name and data are small, you can store many events. From the retained buffer you pass in there is 8 bytes of overhead. Then each event requires the size of the event name and event data in bytes, plus an overhead of 10 bytes (8 byte header and 2 c-string null terminators), rounded up to a multiple of 4 bytes so each entry starts on a 4-byte aligned boundary.
The library is also compatible with 622 byte event data in 0.8.0-rc.4 and later).
Events are logged with the category app.pubq so you can use a logging filter to disable them if desired.
There are three examples:
The first one publishes every 30 seconds from loop using a millis() check. It uses WITH_ACK.
The second one publishes every 30 seconds from a software timer. It also publishes when you press the MODE button. It uses WITH_ACK.
The third is described in the next section.
There are examples of using other storage methods in the more-examples directory.
You typically include something like this at the top of your main source file. The order is important; you must include the FRAM include file before PublishQueueAsyncRK.h in order to enable FRAM support.
In setup(), be sure to initialize the FRAM library and then the publishQueue, in that order.
If you only want to use a subset of the FRAM for the publish queue, specify an offset and length in the constructor
Using SpiffsParticleRK you can store events in a variety of SPI NOR flash memory chips using the SpiFlashRK library.
You typically include something like this at the top of your main source file. The order is important; you must include the SdFat.h before PublishQueueAsyncRK.h in order to enable SD card support.
The second parameter to the publish queue constructor is the filename, it should be an 8.3 filename. It will contain binary data.
In setup(), you initialize it like this:
You typically instantiate an object to interface to the flash chip as a global variable:
Use an ISSI flash, such as a IS25LQ080B. In this case, connected to the primary SPI with A2 as the CS (chip select or SS).
Use a Winbond flash, such as a W25Q32. In this case, connected to the primary SPI with A2 as the CS (chip select or SS).
Winbond flash, connected to the secondary SPI, SPI1, with D5 as the CS (chip select or SS).
Macronix flash, such as the MX25L8006EM1I-12G. In this case connected to the secondary SPI, SPI1, with D5 as the CS (chip select or SS). This is the recommended for use on the E-Series module. Note that this is the 0.154", 3.90mm width 8-SOIC package.
This is the external flash on the P1 module. This extra flash chip is entirely available for your user; it is not used by the system firmware at this time. You can only use this on the P1; it relies on system functions that are not available on other devices.
You typically include something like this at the top of your main source file. The order is important; you must include the SdFat.h before PublishQueueAsyncRK.h in order to enable SD card support.
The second parameter to the publish queue constructor is the filename, it should be an 8.3 filename. It will contain binary data.
In your setup function you typically call:
The example 03-test-suite makes it easy to test some of the features. Flag the code to a Photon or Electron and send a function to it to make it do things:
The first parameter is the test number:
There may be additional parameters based on the test number, as well.
Publish a sequential event every 10 seconds.
Stop publish events
Publish 5 events of 64 bytes each.
Disconnect from the cloud, publish 5 events of 64 bytes each, then go back online.


Agenda
- Assumptions
- Introduction
- Shared state
- Native Java concurrency
- Modeling concurrency
- Actor model
- Akka model
- Q&A
## Assumptions
You're familiar with:
- Java 8
- Java concurrency
- Java memory model (`synchronized`, `volatile`, happens-before)
- java.util.concurrent
- Threads
- ExecutorService(s)
- CompletableFuture
## Introduction
We want to have an easily parallelizable system which is easy to reason about.
How to do that?
## What we've got?
- Threads?
- Processes?
- Servers?
## Scaling
- How to scale?
- Focus on micro-level scaling in this presentation
## What do we want?
I just want to write code that is:
- easy to understand
- no race conditions, etc. on shared state
- no implicit understanding
- a little influence from the environment
### Inter-thread communication
How to communicate between threads?
Shared state
```java
public class State {
private long value;
...
synchronized (value) {
value = 5L;
}
```
Shared state
```java
public class State {
private long value;
...
public synchronized setValue(long value) {
this.value = value;
}
```
Shared state
```java
public class State {
private long value;
}
...
public void setValue(long value) {
lock.lock();
try {
this.value = value;
} finally {
lock.unlock();
}
}
```
Shared state
```java
public class State {
private Atomic[Reference|Integer] value = new Atomic...
}
```
## Problems with shared state
## Conclusion
# It's hard!
Executor(s) / ForkJoinPool won't help
- explicit fork & join
- still all the issues are present (races, implicit understanding, etc.)
- a little less code ("developer friendly")
CompletableFuture won't help
- explicit composition & join
- still all the issues are present (races, implicit understanding, etc.)
- stream-like processing & composition ("developer friendly")
## Reminder: What do we want?
I just want to write code that is:
- easy to understand
- no race conditions on shared state
- no implicit understanding
- a little influence from the environment
## Going back to basics
How to make this simple & reliable in concurrent environment?
```java
public class State {
private int value;
public void decrement(int decrement) {
value -= decrement;
if (value % 2 == 0) {
value += decrement;
}
}
}
```
### Make it single-threaded?
## Queue decoupling
![queuing](img/queuing.JPG)
## Single queue
![single-queue-user-state](img/single-queue-user-state.JPG)
## Multiple queues
![multiple-queue-user-state](img/multiple-queue-user-state.JPG)
## Multiple queues
![multiplex](img/multiplex.JPG)
## What about threads?
![threads-in-queue](img/threads-in-queue.JPG)
## What about threads?
- 1 new thread on JVM costs ~1 MB+
- how can we scale to millions of `State` objects?
### Decouple threading even more
![thread-decoupling](img/thread-decoupling.JPG)
## Additional concerns?
![thread-decoupling-concerns](img/thread-decoupling-concerns.JPG)
## Addressing concerns
![concerns](img/concerns.JPG)
## Akka and actors
![akka](img/akka.JPG)
## Actor model
- An actor is a computational entity that:
- responds to messages
- sends messages
- creates new actors
- changes it's state
- changes it's behavior
## Actor model
- All computation is performed within the Actor
- No single actor can process two messages simultaneously (single-threaded illusion)
- Actors can communicate only through messages
- At most once delivery
## Akka actor example
```java
public class CounterActor extends AbstractActor {
private long value;
@Override
public Receive createReceive() {
return receiveBuilder()
.match(Integer.class, msg -> this.value += msg)
.build();
}
}
```
## Akka outer context
```java
public static void main(String[] args) {
ActorSystem actorSystem = ActorSystem.create();
Props props = Props.create(CounterActor.class);
ActorRef actorRef = actorSystem.actorOf(props);
actorRef.tell(1, ActorRef.noSender());
}
```


Interface IHistoryClient
Inherited Members
Namespace: CryptoCompare
Assembly: CryptoCompare.dll
Syntax
public interface IHistoryClient : IApiClient
Methods
DailyAsync(String, String, Nullable<Int32>, String, Nullable<DateTimeOffset>, Nullable<Boolean>, Nullable<Int32>, Nullable<Boolean>)
Get open, high, low, close, volumefrom and volumeto from the daily historical data. The values are based on 00:00 GMT time.It uses BTC conversion if data is not available because the coin is not trading in the specified currency.
Declaration
Task<HistoryResponse> DailyAsync(string fromSymbol, string toSymbol, int? limit, string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), bool? allData = default(bool? ), int? aggregate = default(int? ), bool? tryConversion = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | fromSymbol | from symbol. This cannot be null. |
| String | toSymbol | to symbol. This cannot be null. |
| Nullable<Int32> | limit | The limit number of returned results. |
| String | exchangeName | Exchange name. |
| Nullable<DateTimeOffset> | toDate | to date. |
| Nullable<Boolean> | allData | (Optional) retrieve all data. |
| Nullable<Int32> | aggregate | (Optional) aggregates result. |
| Nullable<Boolean> | tryConversion | (Optional) tries conversion. |
Returns
| Type | Description |
|---|---|
| Task<HistoryResponse> |
DayAveragePriceAsync(String, String, String, Nullable<DateTimeOffset>, Nullable<CalculationType>, Nullable<Int32>, Nullable<Boolean>)
Get day average price. The values are based on hourly vwap data and the average can be calculated in different ways. It uses BTC conversion if data is not available because the coin is not trading in the specified currency. If tryConversion is set to false it will give you the direct data. If no toTS is given it will automatically do the current day. Also for different timezones use the UTCHourDiff param The calculation types are: HourVWAP - a VWAP of the hourly close price MidHighLow - the average between the 24 H high and low. VolFVolT - the total volume from / the total volume to (only avilable with tryConversion set to false so only for direct trades but the value should be the most accurate average day price)
Declaration
Task<HistoryDayAverageResponse> DayAveragePriceAsync(string fromSymbol, string toSymbol, string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), CalculationType? avgType = default(CalculationType? ), int? utcHourDiff = default(int? ), bool? tryConversion = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | fromSymbol | The cryptocurrency symbol of interest. This cannot be null |
| String | toSymbol | The currency symbol to convert into. This cannot be null. |
| String | exchangeName | (Optional) The exchange to obtain data from (our aggregated average - CCCAGG - by default) . |
| Nullable<DateTimeOffset> | toDate | (Optional) Last unix timestamp to return data for. |
| Nullable<CalculationType> | avgType | (Optional) Type of the average. |
| Nullable<Int32> | utcHourDiff | (Optional) By deafult it does UTC, if you want a different time zone just pass the hour difference. For PST you would pass -8 for example. |
| Nullable<Boolean> | tryConversion | (Optional) If set to false, it will try to get only direct trading values. |
Returns
| Type | Description |
|---|---|
| Task<HistoryDayAverageResponse> |
ExchangeDailyAsync(String, String, Nullable<DateTimeOffset>, Nullable<Int32>, Nullable<Int32>, Nullable<Boolean>)
Get total volume from the daily historical exchange data.The values are based on 00:00 GMT time. We store the data in BTC and we multiply by the BTC-tsym value.
Declaration
Task<ExchangeHistoryResponse> ExchangeDailyAsync(string toSymbol, string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), int? limit = default(int? ), int? aggregate = default(int? ), bool? aggregatePredictableTimePeriods = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | toSymbol | The currency symbol to convert into . This cannot be null. |
| String | exchangeName | (Optional) The exchange to obtain data from (our aggregated average - CCCAGG - by default) . |
| Nullable<DateTimeOffset> | toDate | (Optional) Last unix timestamp to return data for. |
| Nullable<Int32> | limit | (Optional) The number of data points to return. |
| Nullable<Int32> | aggregate | (Optional) Time period to aggregate the data over (for daily it's days, for hourly it's hours and for minute histo it's minutes). |
| Nullable<Boolean> | aggregatePredictableTimePeriods | (Optional) True by default, only used when the aggregate param is also in use. If false it will aggregate based on the current time. If the param is false and the time you make the call is 1pm - 2pm, with aggregate 2, it will create the time slots: ... 9am, 11am, 1pm. If the param is false and the time you make the call is 2pm - 3pm, with aggregate 2, it will create the time slots: ... 10am, 12am, 2pm. If the param is true (default) and the time you make the call is 1pm - 2pm, with aggregate 2, it will create the time slots: ... 8am, 10am, 12pm. If the param is true (default) and the time you make the call is 2pm - 3pm, with aggregate 2, it will create the time slots: ... 10am, 12am, 2pm.. |
Returns
| Type | Description |
|---|---|
| Task<ExchangeHistoryResponse> | The asynchronous result that yields a HistoryResponse. |
ExchangeHourlyAsync(String, String, Nullable<DateTimeOffset>, Nullable<Int32>, Nullable<Int32>, Nullable<Boolean>)
Get total volume from the hourly historical exchange data.We store the data in BTC and we multiply by the BTC-tsym value.
Declaration
Task<ExchangeHistoryResponse> ExchangeHourlyAsync(string toSymbol, string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), int? limit = default(int? ), int? aggregate = default(int? ), bool? aggregatePredictableTimePeriods = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | toSymbol | The currency symbol to convert into . This cannot be null. |
| String | exchangeName | (Optional) The exchange to obtain data from (our aggregated average - CCCAGG - by default) . |
| Nullable<DateTimeOffset> | toDate | (Optional) Last unix timestamp to return data for. |
| Nullable<Int32> | limit | (Optional) The number of data points to return. |
| Nullable<Int32> | aggregate | (Optional) Time period to aggregate the data over (for daily it's days, for hourly it's hours and for minute histo it's minutes). |
| Nullable<Boolean> | aggregatePredictableTimePeriods | (Optional) True by default, only used when the aggregate param is also in use. If false it will aggregate based on the current time. If the param is false and the time you make the call is 1pm - 2pm, with aggregate 2, it will create the time slots: ... 9am, 11am, 1pm. If the param is false and the time you make the call is 2pm - 3pm, with aggregate 2, it will create the time slots: ... 10am, 12am, 2pm. If the param is true (default) and the time you make the call is 1pm - 2pm, with aggregate 2, it will create the time slots: ... 8am, 10am, 12pm. If the param is true (default) and the time you make the call is 2pm - 3pm, with aggregate 2, it will create the time slots: ... 10am, 12am, 2pm.. |
Returns
| Type | Description |
|---|---|
| Task<ExchangeHistoryResponse> | The asynchronous result that yields a HistoryResponse. |
HistoricalForTimestampAsync(String, IEnumerable<String>, DateTimeOffset, IEnumerable<String>, Nullable<CalculationType>, Nullable<Boolean>)
Get the price of any cryptocurrency in any other currency that you need at a given timestamp. The price comes from the daily info - so it would be the price at the end of the day GMT based on the requested TS. If the crypto does not trade directly into the toSymbol requested, BTC will be used for conversion. Tries to get direct trading pair data, if there is none or it is more than 10 days before the ts requested, it uses BTC conversion. If the oposite pair trades we invert it (eg.: BTC-XMR)The calculation types are: Close - a Close of the day close price,MidHighLow - the average between the 24 H high and low.VolFVolT - the total volume to / the total volume from
Declaration
Task<PriceHistoricalReponse> HistoricalForTimestampAsync(string fromSymbol, IEnumerable<string> toSymbols, DateTimeOffset requestedDate, IEnumerable<string> markets = null, CalculationType? calculationType = default(CalculationType? ), bool? tryConversion = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | fromSymbol | from symbol. |
| IEnumerable<String> | toSymbols | to symbols. |
| DateTimeOffset | requestedDate | The requested date. |
| IEnumerable<String> | markets | (Optional) Names of Exchanges default => CCCAGG. |
| Nullable<CalculationType> | calculationType | (Optional) Type of the calculation. |
| Nullable<Boolean> | tryConversion | (Optional) If set to false, it will try to get values without using any conversion at all (defaultVal:true) |
Returns
| Type | Description |
|---|---|
| Task<PriceHistoricalReponse> |
HourlyAsync(String, String, Nullable<Int32>, String, Nullable<DateTimeOffset>, Nullable<Boolean>, Nullable<Int32>, Nullable<Boolean>)
Get open, high, low, close, volumefrom and volumeto from the hourly historical data. It uses BTC conversion if data is not available because the coin is not trading in the specified currency.
Declaration
Task<HistoryResponse> HourlyAsync(string fromSymbol, string toSymbol, int? limit = default(int? ), string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), bool? allData = default(bool? ), int? aggregate = default(int? ), bool? tryConversion = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | fromSymbol | from symbol. This cannot be null. |
| String | toSymbol | to symbol. This cannot be null. |
| Nullable<Int32> | limit | The limit number of returned results. |
| String | exchangeName | Exchange name. |
| Nullable<DateTimeOffset> | toDate | to date. |
| Nullable<Boolean> | allData | (Optional) retrieve all data. |
| Nullable<Int32> | aggregate | (Optional) aggregates result. |
| Nullable<Boolean> | tryConversion | (Optional) tries conversion. |
Returns
| Type | Description |
|---|---|
| Task<HistoryResponse> |
MinutelyAsync(String, String, Nullable<Int32>, String, Nullable<DateTimeOffset>, Nullable<Boolean>, Nullable<Int32>, Nullable<Boolean>)
Get open, high, low, close, volumefrom and volumeto from the each minute historical data. This data is only stored for 7 days, if you need more,use the hourly or daily path. It uses BTC conversion if data is not available because the coin is not trading in the specified currency.
Declaration
Task<HistoryResponse> MinutelyAsync(string fromSymbol, string toSymbol, int? limit = default(int? ), string exchangeName = null, DateTimeOffset? toDate = default(DateTimeOffset? ), bool? allData = default(bool? ), int? aggregate = default(int? ), bool? tryConversion = default(bool? ))
Parameters
| Type | Name | Description |
|---|---|---|
| String | fromSymbol | from symbol. This cannot be null. |
| String | toSymbol | to symbol. This cannot be null. |
| Nullable<Int32> | limit | The limit number of returned results. |
| String | exchangeName | Exchange name. |
| Nullable<DateTimeOffset> | toDate | to date. |
| Nullable<Boolean> | allData | (Optional) retrieve all data. |
| Nullable<Int32> | aggregate | (Optional) aggregates result. |
| Nullable<Boolean> | tryConversion | (Optional) tries conversion. |
Returns
| Type | Description |
|---|---|
| Task<HistoryResponse> |


title=Starting skysail technical documentation date=2016-03-28 type=post tags=blog status=published ~~~~~~
It's about time to get started...


Introduction
(or Unified Plan, Plan B and the answer to life, the universe and eveything!)
If somebody wants to talk about interoperability between Firefox and Chome when doing multi-party video conferences, it is impossible to not talk a little bit (or a lot!) about Unified Plan and Plan B. Unified Plan and Plan B were two competing IETF drafts for the negotiation and exchange of multiple media sources (AKA MediaStreamTracks, or MSTs) between two WebRTC endpoints. Unified Plan is being incorporated in the JSEP draft and is on its way to becoming an IETF standard while Plan B has expired in 2013 and nobody should care about it anymore, right? Wrong!
Plan B lives on in the Chrome and its derivatives, like Chromium and Opera. There's actually an issue in the Chromium bug tracker to add support for Unified Plan in Chromium, but that'll take some time. Firefox, on the other hand, has, as of recently, implemented Unified Plan.
Developers that want to support both Firefox and Chrome have to deal with this situation and implement some kind of interoperability layer between Chrome and it derivatives and Firefox.
The most substantial difference between Unified Plan and Plan B is how they represent media stream tracks. Unified Plan extends the standard way of encoding this information in SDP which is to have each RTP flow (i.e., SSRC) appear on its own m-line. So, each media stream track is represented by its own unique m-line. This is a strict one-to-one mapping; a single media stream track cannot be spread across several m-lines, nor may a single m-line represent multiple media stream tracks.
Plan B takes a different approach, and creates a hierarchy within SDP; a m= line defines an "envelope", specifying codec and transport parameters, and a=ssrc lines are used to describe individual media sources within that envelope. So, typically, a Plan B SDP has three channels, one for audio, one for video and one for the data.
Installation
Install locally from npm:
$ npm install sdp-interop
Implementation
This module gives a general solution to the problem of SDP interoperability described in the previous section and deals with it at the lowest level. The idea is to build a PeerConnection adapter that will feed the right SDP to the browser, i.e. Unified Plan to Firefox and Plan B to Chrome and that would give a Plan B SDP to the application.
The SDP interoperability layer
sdp-interop is a reusable npm module that offers the two simple methods:
toUnifiedPlan(sdp)
that takes an SDP string and transforms it into a Unified Plan SDP.toPlanB(sdp)
that, not surprisingly, takes an SDP string and transforms it to Plan B SDP.
The PeerConnection adapter wraps the setLocalDescription()
,
setRemoteDescription()
methods and the success callbacks of the
createAnswer()
and createOffer()
methods. If the browser is Chrome, the
adapter does nothing. If, on the other hand, the browser is Firefox the
PeerConnection adapter...
- calls the
toUnifiedPlan()
method of the sdp-interop module prior to calling thesetLocalDescription()
or thesetRemoteDescription()
methods, thus converting the Plan B SDP from the application to a Unified Plan SDP that Firefox can understand. - calls the
toPlanB()
method prior to calling thecreateAnswer()
or thecreateOffer()
success callback, thus converting the Unified Plan SDP from Firefox to a Plan B SDP that the application can understand.
Here's a sample PeerConnection adapter:
function PeerConnectionAdapter(ice_config, constraints) {
var RTCPeerConnection = navigator.mozGetUserMedia
? mozRTCPeerConnection : webkitRTCPeerConnection;
this.peerconnection = new RTCPeerConnection(ice_config, constraints);
this.interop = new require('sdp-interop').Interop();
}
PeerConnectionAdapter.prototype.setLocalDescription
= function (description, successCallback, failureCallback) {
// if we're running on FF, transform to Unified Plan first.
if (navigator.mozGetUserMedia)
description = this.interop.toUnifiedPlan(description);
var self = this;
this.peerconnection.setLocalDescription(description,
function () { successCallback(); },
function (err) { failureCallback(err); }
);
};
PeerConnectionAdapter.prototype.setRemoteDescription
= function (description, successCallback, failureCallback) {
// if we're running on FF, transform to Unified Plan first.
if (navigator.mozGetUserMedia)
description = this.interop.toUnifiedPlan(description);
var self = this;
this.peerconnection.setRemoteDescription(description,
function () { successCallback(); },
function (err) { failureCallback(err); }
);
};
PeerConnectionAdapter.prototype.createAnswer
= function (successCallback, failureCallback, constraints) {
var self = this;
this.peerconnection.createAnswer(
function (answer) {
if (navigator.mozGetUserMedia)
answer = self.interop.toPlanB(answer);
successCallback(answer);
},
function(err) {
failureCallback(err);
},
constraints
);
};
PeerConnectionAdapter.prototype.createOffer
= function (successCallback, failureCallback, constraints) {
var self = this;
this.peerconnection.createOffer(
function (offer) {
if (navigator.mozGetUserMedia)
offer = self.interop.toPlanB(offer);
successCallback(offer);
},
function(err) {
failureCallback(err);
},
constraints
);
};
Beyond the basics
Like everything in life, sdp-interop is not "perfect", it makes certain assumptions and it has some limitations. First and foremost, unfortunately, a Plan B offer/answer does not have enough information to rebuild an equivalent Unified Plan offer/answer. So, while it is easy to go from Plan B to Unified Plan, the opposite is not possible without keeping some state.
Suppose, for example, that a Firefox client gets an offer from the Focus to
join a large call. In the native create answer success callback you get a
Unified Plan answer that contains multiple m-lines. You convert it in a Plan B
answer using the sdp-interop module and hand it over to the app to do its
thing. At some point later-on, the app calls the adapter's
setLocalDescription()
method. The adapter will have to convert the Plan B
answer back to a Unified Plan one to pass it to Firefox.
That's the tricky part because you can't naively put any SSRC in any m-line, each SSRC has to be put back into the same m-line that it was in the original answer from the native create answer success callback. The order of the m-lines is important too, so each m-line has to be in the same position it was in the original answer from the native create answer success callback (which matches the position of the m-line in the Unified Plan offer). It is also forbidden to remove an m-line, instead they must be marked as inactive, if they're no longer used. Similar considerations have to be taken into account when converting a Plan B offer to a Unified Plan one when doing renegotiation, for example.
We solved this issue by caching both the most recent Unified Plan offer and the most recent Unified Plan answer. When we go from Plan B to Unified Plan we use the cached Unified Plan offer/answer and add the missing information from there. You can see here how we do this exactly.
Another soft limitation (in the sense that it can be removed given enough effort) is that we require bundle and rtcp-mux for both Chrome and Firefox endpoints, so all the media whatever the channel is, go through a single port. This is tracked in issue #3.
One last soft limitation is that we have currently tested the interoperability layer only when Firefox answers a call and not when it offers one because in our architecture endpoints always get invited to join a call and never offer one. This is tracked in issue #4.
Copyright notice
Copyright @ 2015 Atlassian Pty Ltd Copyright @ 2016 Kurento (http://kurento.org/)
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


Laura Cooper testifies that Ukraine knew of stalled aid far earlier than White House claims – video
by ReutersDuring the impeachment hearing into Donald Trump, Laura Cooper, the deputy assistant secretary of defence for Russia, Ukraine and Eurasia, told lawmakers on Wednesday that her staff had received an email on 25 July from the state department saying that Ukraine’s embassy and the House foreign affairs committee were asking about military aid.
25 July was the day of a phone call between Trump and the Ukrainian president in which Trump raised the issues of an investigation into Joe Biden, alleged Ukrainian interference in the 2016 presidential election and about aid


The Cminor compiler assumes that source files have implicit UTF-8 encoding. UTF-8 byte order mark EF BB BF can be used in the start of a source file, but it's not required. If you use non-ASCII characters in a source file, remember to save it using UTF-8 encoding.
All the string literals contained in source files are converted from UTF-8 to UTF-32 representation internally. The string and character types have internal UTF-32 encoding. This way characters (or "glyphs") and character codes (the Unicode code points representing them) have one-to-one correspondence.
The output encoding of strings and characters is UTF-8. This works fine for file output, but unfortunately for console output on Windows it means that for example non-Latin letters generate garbage output, because the author has not found a way to put Windows console window to UTF-8 mode.
Here's the contents of program encoding.cminor that prints word "Hello" followed by the word "world" in chinese to file hello.txt:
It is good practice that programs containing I/O or other code that can fail handle exceptions by using try statements.
Besides to string and character literals, identifiers in source code naming functions, classes, variables and so on can also contain non-Latin Unicode letters. Here's the contents of program dice.cminor that has function "HeitäNoppaa" containing Finnish letter 'ä' (represented as 0xC3 0xA4 using UTF-8 encoding). The name of the function means "play dice" in Finnish:


Melbourne City edge Canberra in last-gasp
A last minute Emily van Egmond penalty helped W-League glamour side Melbourne City collect a fortuitous 2-1 comeback win over Canberra United at McKellar Park.
The all-star City seemed set for a second successive draw to open the season before van Egmond converted one of the last kicks of the game, after Yukari Kinga had been bundled over in the penalty area.
Canberra took the lead after impressive Brazilian Camila Martins Pereira crashed a shot against the frame of the goal, allowing American striker Katie Stengel to sweep home the rebound just on the hour mark.
The lead lasted just eight minutes as new signing Milica Mijatovic netted her first W-League goal, with the Serbian finishing coolly after an assist from evergreen Japanese midfielder Kinga.
Remarkably City fielded 10 internationals, including their three new Matildas signings in Aivi Luik, van Egmond and Ellie Carpenter, the latter two lining up against their former club.
There was also a welcome return for Kyah Simon after a long injury absence, which cost the Matildas' attacker a spot in the Women's World Cup squad.
The two sides proved well matched throughout the 90 minutes, despite the apparent disparity on paper.

Carpenter impressed for City, as did Steph Catley on her 50th appearance for the club, while Kinga's role in the two goals was decisive.
Despite their big-name roster, Melbourne City finished fifth last season to miss the semi-finals for the first time in their four-season history.
Champions Sydney FC sit top of the standings ahead of Western Sydney Wanderers on goal difference after the Sky Blues edged a 1-0 win over Adelaide United on Friday.
Caitlin Foord's lone second-half goal ensured Sydney FC made it two wins from two to start the season, though they rode their luck at times against a youthful Adelaide side.
In other action earlier in the round, the Wanderers saw off Newcastle Jets with a lone Amy Harrison penalty, while Melbourne Victory bounced back from an opening defeat with a 3-2 victory over Brisbane Roar.
AAP


A product of rose and love, Rhoda and Amor, I was born in the Diving Capital of the Philippines, Zambales, on the 19th of April 1997. I grew up in Olongapo City where I finished my Primary and Secondary education. As of now, I'm pursuing a Bachelor's Degree in Information Technology with majors in Web Technology at University of the Cordilleras, Baguio City.
My hobbies include running... a blog.
I also enjoy programming and graphic designing. I love anime as much as I love dogs and puppies. Not to mention, I also draw.
And oh, I'm really fond of playing video games and reading books during my leisure time.


Echo we're from inside if 1==1
Echo we're from inside if 2==3
$(request:fred}
fred = 1
key = 1
This is the echo content
| this is a td in if [10==10] |
this is a td in elseif 11==11] |
this is a td in else ]10==10[ |
Now we're onto the elseif clause
this is a td in if [20==21]
|
this is a td in elseif [21==21]
|
this is a td in else
|
Now we're onto the else clause
this is a td in if [30==31]
|
this is a td in elseif [31==32]
|
this is a td in else after ]30==31[
|


As well as support for an active-passive cluster, the HA module allows you to replicate individual queues, even if the brokers are not in a cluster. The original queue is used as normal. The replica queue is updated automatically as messages are added to or removed from the original queue.
It is not safe to modify the replica queue other than via the automatic updates from the original. Adding or removing messages on the replica queue will make replication inconsistent and may cause message loss. The HA module does not enforce restricted access to the replica queue (as it does in the case of a cluster) so it is up to the application to ensure the replica is not used until it has been disconnected from the original.
To create a replica queue, the HA module must be loaded on both the original and replica brokers (it is loaded by default.) You also need to set the configuration option:
ha-queue-replication=yes
to enable this feature on a stand-alone broker. It is automatically enabled for brokers that are part of a cluster.
Suppose that myqueue is a queue on node1 and we want to create a replica of myqueue on node2 (where both brokers are using the default AMQP port.) This is accomplished by the command:
qpid-config --broker=node2 add queue --start-replica node1 myqueue
If myqueue already exists on the replica broker you can start replication from the original queue like this:
qpid-ha replicate -b node2 node1 myqueue
You can replicate queues between two standalone brokers, between a standalone broker and a cluster, or between two clusters (see Section 1.12, “Active-Passive Messaging Clusters”.) For failover in a cluster there are two cases to consider.
When the original queue is on the active node of a cluster, failover is automatic. If the active node fails, the replication link will automatically reconnect and the replica will continue to be updated from the new primary.
When the replica queue is on the active node of a cluster, there is no automatic failover. However you can use the following workaround.
When a primary broker fails the cluster resource manager calls a script
to promote a backup broker to be the new primary. By default this script
is /etc/init.d/qpidd-primary
but you can modify
that in your cluster.conf
file (see Section 1.12.5, “Configuring with rgmanager as resource manager”.)
You can modify this script (on each host in your cluster) by adding commands to create your replica queues just before the broker is promoted, as indicated in the following exceprt from the script:
start() { service qpidd start echo -n $"Promoting qpid daemon to cluster primary: " ################################ #### Add your commands here #### ################################ $QPID_HA -b localhost:$QPID_PORT promote [ "$?" -eq 0 ] && success || failure }
Your commands will be run, and your replicas created, whenever the system fails over to a new primary.
Apache Qpid, Messaging built on AMQP; Copyright © 2015 The Apache Software Foundation; Licensed under the Apache License, Version 2.0; Apache Qpid, Qpid, Qpid Proton, Proton, Apache, the Apache feather logo, and the Apache Qpid project logo are trademarks of The Apache Software Foundation; All other marks mentioned may be trademarks or registered trademarks of their respective owners


Package org.apache.qpid.proton.reactor
Interface Selector
-
public interface Selector
A multiplexor of instances ofSelectable
.Many instances of
Selectable
can be added to a selector, and theselect(long)
method used to block the calling thread until one of theSelectables
becomes read to perform an operation.This class is not thread safe, so only one thread should be manipulating the contents of the selector, or running the
select(long)
method at any given time.
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description void
add(Selectable selectable)
Adds a selectable to the selector.java.util.Iterator<Selectable>
error()
java.util.Iterator<Selectable>
expired()
void
free()
Frees the resources used by this selector.java.util.Iterator<Selectable>
readable()
void
remove(Selectable selectable)
Removes a selectable from the selector.void
select(long timeout)
Waits for the specified timeout period for one or more selectables to become ready for an operation.void
update(Selectable selectable)
Updates the selector to reflect any changes interest by the specified selectable.java.util.Iterator<Selectable>
writeable()
-
-
-
Method Detail
-
add
void add(Selectable selectable) throws java.io.IOException
Adds a selectable to the selector.- Parameters:
selectable
-- Throws:
java.io.IOException
-
update
void update(Selectable selectable)
Updates the selector to reflect any changes interest by the specified selectable. This is achieved by calling theSelectable.isReading()
andSelectable.isWriting()
methods.- Parameters:
selectable
-
-
remove
void remove(Selectable selectable)
Removes a selectable from the selector.- Parameters:
selectable
-
-
select
void select(long timeout) throws java.io.IOException
Waits for the specified timeout period for one or more selectables to become ready for an operation. Selectables that become ready are returned by thereadable()
,writeable()
,expired()
, orerror()
methods.- Parameters:
timeout
- the maximum number of milliseconds to block the calling thread waiting for a selectable to become ready for an operation. The value zero is interpreted as check but don't block.- Throws:
java.io.IOException
-
readable
java.util.Iterator<Selectable> readable()
- Returns:
- the selectables that have become readable since the last call
to
select(long)
. Callingselect
clears any previous values in this set before adding new values corresponding to those selectables that have become readable.
-
writeable
java.util.Iterator<Selectable> writeable()
- Returns:
- the selectables that have become writable since the last call
to
select(long)
. Callingselect
clears any previous values in this set before adding new values corresponding to those selectables that have become writable.
-
expired
java.util.Iterator<Selectable> expired()
- Returns:
- the selectables that have expired since the last call
to
select(long)
. Callingselect
clears any previous values in this set before adding new values corresponding to those selectables that have now expired.
-
error
java.util.Iterator<Selectable> error()
- Returns:
- the selectables that have encountered an error since the last
call to
select(long)
. Callingselect
clears any previous values in this set before adding new values corresponding to those selectables that have encountered an error.
-
free
void free()
Frees the resources used by this selector.
-
-


For PC, the WinJS.UI.AppBar is hidden by default and appears when users swipe a finger from the bottom edge of the screen. It covers the content of the app and can be dismissed by the user with an edge swipe or by interacting with the app.
For Phone, the AppBar is visible by default and has two states: closed and opened. A closed AppBar can be either "minimal" or "compact". This scenario shows an AppBar with "minimal" closed state. An AppBar goes to the opened state when the user taps the ellipsis on the AppBar, which displays the labels for the icon buttons and menu items (if enabled).


|
All Flavors Available
General purpose XQuery processor - written in C++. Complete family of W3C familly of specifications: XPath, XQuery, Update, Scripting, Full-Text, XSLT, XQueryX, and more. |
Rich Module Library
Web mashups, cryptography, image processing, geo projections, emails, data cleaning... there is a module for that. |
|
Pluggable Store
Seamlessly process XML data stored in different places. Main memory, mobile devices, browsers, disk-based, or cloud-based stores. |
Runs Everywhere
Available on Windows, Linux, and Mac OS. Bindings available for 6 Programming Languages: C++, C, PHP, Ruby, Java and Python. |
|
Developer Friendly Tools
Benefit from a rich ecosystem of tools. Eclipse plugins, command-line interface, and debugger. |
Fun & Productive
XQuery unifies development for all tiers; database, content management, application logic, and presentation. Check out examples and demos. |


JavaScript Utilities - Vanilla Lazy Loading
JavaScript Utilities - Vanilla Lazy Loading
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A classname is added when scroll position is reached : the border should be red