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lib.rs
#[macro_use] extern crate compre_combinee; extern crate combine; mod errors; mod details; mod traits; mod stop_watch; use std::collections::{HashMap}; use combine::{parser, eof, satisfy, choice, attempt}; use combine::parser::range::{take_while1}; use combine::parser::char::*; use combine::{Parser, many, optional, sk...
fn null_parser<'a>() -> impl Parser<&'a str, Output = Node> { c_hx_do!{ _word <- string("null"); Node::Null } } macro_rules! ref_parser { ($parser_fn:ident) => { parser(|input| { let _: &mut &str = input; $parser_fn().parse_stream(input).into_result() ...
{ c_hx_do!{ word <- string("true").or(string("false")); match word { "true" => Node::Boolean(true), _ => Node::Boolean(false) } } }
identifier_body
lib.rs
#[macro_use] extern crate compre_combinee; extern crate combine; mod errors; mod details; mod traits; mod stop_watch; use std::collections::{HashMap}; use combine::{parser, eof, satisfy, choice, attempt}; use combine::parser::range::{take_while1}; use combine::parser::char::*; use combine::{Parser, many, optional, sk...
<'a>() -> impl Parser<&'a str, Output = Node> { c_hx_do!{ word <- string("true").or(string("false")); match word { "true" => Node::Boolean(true), _ => Node::Boolean(false) } } } fn null_parser<'a>() -> impl Parser<&'a str, Output = Node> { c_hx_do!{ _...
bool_parser
identifier_name
main.rs
// ~Similar to the ST Heart Rate Sensor example #![no_main] #![no_std] #![allow(non_snake_case)] use panic_rtt_target as _; // use panic_halt as _; use rtt_target::{rprintln, rtt_init_print}; use stm32wb_hal as hal; use core::time::Duration; use cortex_m_rt::{entry, exception}; use nb::block; use byteorder::{ByteOr...
extended_packet_length_enable: 1, pr_write_list_size: 0x3A, mb_lock_count: 0x79, att_mtu: 312, slave_sca: 500, master_sca: 0, ls_source: 1, max_conn_event_length: 0xFFFFFFFF, hs_startup_time: 0x148, viterbi_enable: 1, ll_only: 0, ...
num_attr_serv: 10, attr_value_arr_size: 3500, //2788, num_of_links: 8,
random_line_split
main.rs
// ~Similar to the ST Heart Rate Sensor example #![no_main] #![no_std] #![allow(non_snake_case)] use panic_rtt_target as _; // use panic_halt as _; use rtt_target::{rprintln, rtt_init_print}; use stm32wb_hal as hal; use core::time::Duration; use cortex_m_rt::{entry, exception}; use nb::block; use byteorder::{ByteOr...
else { rprintln!("Unexpected response to init_gap command"); return Err(()); }; perform_command(|rc| { rc.update_characteristic_value(&UpdateCharacteristicValueParameters { service_handle, characteristic_handle: dev_name_handle, offset: 0, ...
{ (service_handle, dev_name_handle, appearance_handle) }
conditional_block
main.rs
// ~Similar to the ST Heart Rate Sensor example #![no_main] #![no_std] #![allow(non_snake_case)] use panic_rtt_target as _; // use panic_halt as _; use rtt_target::{rprintln, rtt_init_print}; use stm32wb_hal as hal; use core::time::Duration; use cortex_m_rt::{entry, exception}; use nb::block; use byteorder::{ByteOr...
() -> BdAddr { let mut bytes = [0u8; 6]; let lhci_info = LhciC1DeviceInformationCcrp::new(); bytes[0] = (lhci_info.uid64 & 0xff) as u8; bytes[1] = ((lhci_info.uid64 >> 8) & 0xff) as u8; bytes[2] = ((lhci_info.uid64 >> 16) & 0xff) as u8; bytes[3] = lhci_info.device_type_id; bytes[4] = (lhci_...
get_bd_addr
identifier_name
main.rs
// ~Similar to the ST Heart Rate Sensor example #![no_main] #![no_std] #![allow(non_snake_case)] use panic_rtt_target as _; // use panic_halt as _; use rtt_target::{rprintln, rtt_init_print}; use stm32wb_hal as hal; use core::time::Duration; use cortex_m_rt::{entry, exception}; use nb::block; use byteorder::{ByteOr...
const DISCOVERY_PARAMS: DiscoverableParameters = DiscoverableParameters { advertising_type: AdvertisingType::ConnectableUndirected, advertising_interval: Some(( Duration::from_millis(ADV_INTERVAL_MS), Duration::from_millis(ADV_INTERVAL_MS), )), address_type: OwnAddressType::Public, ...
{ EncryptionKey(BLE_CFG_ERK) }
identifier_body
main.rs
// Rust notes fn main () { let mut x = String::from("Hey there"); let mut y = String::from("Hello dawg woof"); println!("{}",first_word(&x)); println!("{}",second_word(&y)); } fn
(x : &String) -> &str { let bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { return &x[0..i]; } } &x[..] } fn second_word(x : &String) -> &str { let mut bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' '{ let y = &x[i+1..]; byt...
first_word
identifier_name
main.rs
// Rust notes fn main () { let mut x = String::from("Hey there"); let mut y = String::from("Hello dawg woof"); println!("{}",first_word(&x)); println!("{}",second_word(&y)); } fn first_word(x : &String) -> &str
fn second_word(x : &String) -> &str { let mut bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' '{ let y = &x[i+1..]; bytes = y.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { return &y[0..i]; } } // Return this IF there were ...
{ let bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { return &x[0..i]; } } &x[..] }
identifier_body
main.rs
// Rust notes fn main () { let mut x = String::from("Hey there"); let mut y = String::from("Hello dawg woof"); println!("{}",first_word(&x)); println!("{}",second_word(&y)); } fn first_word(x : &String) -> &str { let bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { retu...
&x[..] } fn second_word(x : &String) -> &str { let mut bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' '{ let y = &x[i+1..]; bytes = y.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { return &y[0..i]; } } // Return this IF th...
random_line_split
main.rs
// Rust notes fn main () { let mut x = String::from("Hey there"); let mut y = String::from("Hello dawg woof"); println!("{}",first_word(&x)); println!("{}",second_word(&y)); } fn first_word(x : &String) -> &str { let bytes = x.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { retu...
} &x[..] } //__________________________________________________________________________________________________________ // //--------------------------------------------------// //*** GENERAL NOTES *** //*** Info: Random Notes I found either important, *** //*** hard to remember, funny, coo...
{ let y = &x[i+1..]; bytes = y.as_bytes(); for (i, &item) in bytes.iter().enumerate() { if item == b' ' { return &y[0..i]; } } // Return this IF there were only two words. return &y[..]; }
conditional_block
SocialSpiderAlgorithm.py
import math import numpy as np from numpy import linalg as la import random from termcolor import colored import matplotlib.pyplot as plt Minimize_problem = True Maximize_problem = False class Spider: def __init__(self, s, s_previous, fs, vibration, cs, mask): self.s = s # The position of s on the web. ...
# Sphere function minimum = 0 def test_function_0(): global c, ra, pc, pm, y, n, population, bounds, lim c = 1E-100 # where C is a small constant such fitness values are larger than C set_ra = {1 / 10, 1 / 5, 1 / 4, 1 / 3, 1 / 2, 1, 2, 3, 4, 5} ra = random.choice(tuple(set_ra)) set_pc_and_pm = {...
lobal spiders spiders = [] create_population_of_spiders() minimize = spiders[0].s number_of_iterations = 0 initialization_graphics(graph) # In the iteration phase while number_of_iterations <= lim: # Calculates the fitness , update the global optimum and generate vibrations g...
identifier_body
SocialSpiderAlgorithm.py
import math import numpy as np from numpy import linalg as la import random from termcolor import colored import matplotlib.pyplot as plt Minimize_problem = True Maximize_problem = False class Spider: def __init__(self, s, s_previous, fs, vibration, cs, mask): self.s = s # The position of s on the web. ...
a): z = [] if Minimize_problem: z.extend(a) return eval(y) elif Maximize_problem: z.extend(-a) return -eval(y) # there is a array with 100 elements with one and zero,100*p elements with 0 , 100(1-p) with 1,0=false,1=true # where p is the probability def probability(p): ...
(
identifier_name
SocialSpiderAlgorithm.py
import math import numpy as np from numpy import linalg as la import random from termcolor import colored import matplotlib.pyplot as plt Minimize_problem = True Maximize_problem = False class Spider: def __init__(self, s, s_previous, fs, vibration, cs, mask): self.s = s # The position of s on the web. ...
set_pc_and_pm = {0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.99} pc = random.choice(tuple(set_pc_and_pm)) pm = random.choice(tuple(set_pc_and_pm)) print('\n'+"ra = " + str(ra) + '\n' + "pc = " + str(pc) + " pm = " + str(pm) + '\n') y = "math.sin(z[0] + z[1]) + (z[0] - z[1])**2 - 1.5 * z[0]...
random_line_split
SocialSpiderAlgorithm.py
import math import numpy as np from numpy import linalg as la import random from termcolor import colored import matplotlib.pyplot as plt Minimize_problem = True Maximize_problem = False class Spider: def __init__(self, s, s_previous, fs, vibration, cs, mask): self.s = s # The position of s on the web. ...
else: return False def show(generate_vibration): for x in range(population): print("") print("spider" + str(x)) spiders[x].printout() print("generate vibration = " + str(generate_vibration[x].intensity)) print("") # if return true then it is out of bounds [a,b...
eturn True
conditional_block
__init__.py
import collections import os import abc import copy import datetime import logging import munge from future.utils import with_metaclass from vaping.config import parse_interval import vaping.io class PluginBase(vaping.io.Thread): """ Base plugin interface # Instanced Attributes - config (`dict`): p...
If it doesnt, because file has been deleted, we close the filehander and try to reopen """ if self.fh.closed: try: self.fh = open(self.path, "r") self.fh.seek(0, 2) except OSError as err: logging.error("Could not reo...
random_line_split
__init__.py
import collections import os import abc import copy import datetime import logging import munge from future.utils import with_metaclass from vaping.config import parse_interval import vaping.io class PluginBase(vaping.io.Thread): """ Base plugin interface # Instanced Attributes - config (`dict`): p...
(self, filename, from_time, to_time): """ Retrieve data from database for the specified timespan **Arguments** - filename (`str`): database filename - from_time (`int`): epoch timestamp start - to_time (`int`): epoch timestamp end """ raise NotIm...
get
identifier_name
__init__.py
import collections import os import abc import copy import datetime import logging import munge from future.utils import with_metaclass from vaping.config import parse_interval import vaping.io class PluginBase(vaping.io.Thread): """ Base plugin interface # Instanced Attributes - config (`dict`): p...
emit = self._emit_queue.get() emit() def emit_all(self): """ emit and remove all emissions in the queue """ while not self._emit_queue.empty(): self.send_emission() class TimedProbe(ProbeBase): """ Probe class that calls probe every config defi...
return
conditional_block
__init__.py
import collections import os import abc import copy import datetime import logging import munge from future.utils import with_metaclass from vaping.config import parse_interval import vaping.io class PluginBase(vaping.io.Thread): """ Base plugin interface # Instanced Attributes - config (`dict`): p...
@abc.abstractmethod def emit(self, message): """ accept message to emit """ class TimeSeriesDB(EmitBase): """ Base interface for timeseries db storage plugins # Config - filename (`str`): database file name template - field (`str`): fieeld name to read the value from # Ins...
super(EmitBase, self).__init__(config, ctx)
identifier_body
integratedAnalysisPipeline.py
from generateIntegratedConfigurationFiles import generateIntAnalysisConfig import subprocess, os, shutil, sys from multiprocessing import Pool """ try: import syntenyFinal except: print'cannot find syntenyFinal analysis' exit() try: import circosFiguresPipeline except: print'cannot find circos analy...
(stringFind,configFile): """findPath will find path or value of associated specified string or info from config file""" for line in configFile: if stringFind in line: # if find string specified, return pathname or specific value trying to find configFile.seek(0) return line.split...
parseConfigFindPath
identifier_name
integratedAnalysisPipeline.py
from generateIntegratedConfigurationFiles import generateIntAnalysisConfig import subprocess, os, shutil, sys from multiprocessing import Pool """ try: import syntenyFinal except: print'cannot find syntenyFinal analysis' exit() try: import circosFiguresPipeline except: print'cannot find circos analy...
try: int(BPsMergeDist) except: BPsMergeDist = '100000' # write syntenic Config text generateIntAnalysisConfig('syntenyAnalysis',(NameAnalysis,writeFastaOut,Loci_Threshold,pathPython,pathUnOut,pathSort, BPsMergeDist,softmask, NameAnalysis,multipleSeqAlignFastasPath,s...
random_line_split
integratedAnalysisPipeline.py
from generateIntegratedConfigurationFiles import generateIntAnalysisConfig import subprocess, os, shutil, sys from multiprocessing import Pool """ try: import syntenyFinal except: print'cannot find syntenyFinal analysis' exit() try: import circosFiguresPipeline except: print'cannot find circos analy...
# perform allmaps but not circos elif int(performALLMAPS) and not int(performCircos): print 'allmaps' #os.chdir(pathALLMAPS) # if online if int(online): # try to run allmaps allmap = open('runAllmaps.sh', 'w') allmap.write( '#!/bin/bash\ncd %s\npython createNewGenome.py'%pathAL...
print 'circos' # try to run circos online if int(online): open('runCircos.sh', 'w').close() # writing shell script to run circos circos = open('runCircos.sh', 'w') circos.write('#!/bin/bash\npython circosFiguresPipeline.py') circos.close() try: # try t...
conditional_block
integratedAnalysisPipeline.py
from generateIntegratedConfigurationFiles import generateIntAnalysisConfig import subprocess, os, shutil, sys from multiprocessing import Pool """ try: import syntenyFinal except: print'cannot find syntenyFinal analysis' exit() try: import circosFiguresPipeline except: print'cannot find circos analy...
def parseConfigFindPath(stringFind,configFile): """findPath will find path or value of associated specified string or info from config file""" for line in configFile: if stringFind in line: # if find string specified, return pathname or specific value trying to find configFile.seek(0) ...
"""parseConfigFindList inputs a particular string to find and read file after and a configuration file object outputs list of relevant filenames""" read = 0 listOfItems = [] for line in configFile: if line: if read == 1: if 'Stop' in line: configFi...
identifier_body
vector_test.go
// Author: slowpoke <proxypoke at lavabit dot com> // Repository: https://gist.github.com/proxypoke/vector // // This program is free software under the non-terms // of the Anti-License. Do whatever the fuck you want. package vector import ( "math" "math/rand" "testing" ) // ========================== [ Construct...
(t *testing.T) { var i, j uint for i = 0; i < 100; i++ { randslice := makeRandSlice(i) v := NewFrom(randslice) if v.Dim() != i { t.Errorf("Wrong dimension. Got %d, expected %d.", v.Dim(), i) } for j = 0; j < i; j++ { val, _ := v.Get(j) if val != randslice[j] { t.Error( "Wrong values in vec...
TestNewFrom
identifier_name
vector_test.go
// Author: slowpoke <proxypoke at lavabit dot com> // Repository: https://gist.github.com/proxypoke/vector // // This program is free software under the non-terms // of the Anti-License. Do whatever the fuck you want. package vector import ( "math" "math/rand" "testing" ) // ========================== [ Construct...
// then as an in-place operations, checking if both operation were correct. func TestAdd(t *testing.T) { var i, j uint for i = 1; i < 100; i++ { a := makeRandomVector(i) b := makeRandomVector(i) c, _ := Add(a, b) for j = 0; j < i; j++ { if c.dims[j] != a.dims[j]+b.dims[j] { t.Error("Addition failed, d...
// =========================== [ Operation Tests ] ============================ // Creates pesudo-random vectors, then adds them first as a non-destructive,
random_line_split
vector_test.go
// Author: slowpoke <proxypoke at lavabit dot com> // Repository: https://gist.github.com/proxypoke/vector // // This program is free software under the non-terms // of the Anti-License. Do whatever the fuck you want. package vector import ( "math" "math/rand" "testing" ) // ========================== [ Construct...
pseudo-random Vector with dimension dim. func makeRandomVector(dim uint) *Vector { return NewFrom(makeRandSlice(dim)) }
, length) for i := range randslice { randslice[i] = rand.ExpFloat64() } return } // Helper function, make a
identifier_body
vector_test.go
// Author: slowpoke <proxypoke at lavabit dot com> // Repository: https://gist.github.com/proxypoke/vector // // This program is free software under the non-terms // of the Anti-License. Do whatever the fuck you want. package vector import ( "math" "math/rand" "testing" ) // ========================== [ Construct...
} // =========================== [ Operation Tests ] ============================ // Creates pesudo-random vectors, then adds them first as a non-destructive, // then as an in-place operations, checking if both operation were correct. func TestAdd(t *testing.T) { var i, j uint for i = 1; i < 100; i++ { a := make...
{ t.Error("Equal() == true for unequal vectors.") }
conditional_block
preprocessing.py
# Globals # import numpy as np import pandas as pd import dateutil.parser as dp from itertools import islice from scipy.stats import boxcox from scipy.integrate import simps from realtime_talib import Indicator from sklearn.model_selection import train_test_split from sklearn.utils import resample from pprint import ...
def power_transform(dataset): print("\tApplying a box-cox transform to selected features") for header in dataset.drop(["Date", "Trend"], axis=1).columns: if not (dataset[header] < 0).any() and not (dataset[header] == 0).any(): dataset[header] = boxcox(dataset[header])[0] return dataset def split(dataset,...
print("\tAdding lag variables") new_df_dict = {} for col_header in dataset.drop(["Date", "Trend"], axis=1): new_df_dict[col_header] = dataset[col_header] for lag in range(1, lag + 1): new_df_dict["%s_lag%d" % (col_header, lag)] = dataset[col_header].shift(-lag) new_df = pd.DataFrame(new_df_dict, index=datas...
identifier_body
preprocessing.py
# Globals # import numpy as np import pandas as pd import dateutil.parser as dp from itertools import islice from scipy.stats import boxcox from scipy.integrate import simps from realtime_talib import Indicator from sklearn.model_selection import train_test_split from sklearn.utils import resample from pprint import ...
def integral_transform(dataset, interval): integral = integrate(list(dataset["Sentiment"]), interval) dataset["Sentiment_integrals"] = pd.Series(integral)
if balanced: return balanced_split(dataset, test_size) else: return unbalanced_split(dataset, test_size)
random_line_split
preprocessing.py
# Globals # import numpy as np import pandas as pd import dateutil.parser as dp from itertools import islice from scipy.stats import boxcox from scipy.integrate import simps from realtime_talib import Indicator from sklearn.model_selection import train_test_split from sklearn.utils import resample from pprint import ...
(headlines): sentiment_scores = {} numer, denom = 0.0, 0.0 for index, currRow in headlines.iterrows(): print(currRow) currDate = currRow["Date"] if currDate in sentiment_scores: pass else: numer = currRow["Sentiment"] * currRow["Tweets"] denom = currRow["Tweets"] for index, nextRow in headlines....
calculate_sentiment
identifier_name
preprocessing.py
# Globals # import numpy as np import pandas as pd import dateutil.parser as dp from itertools import islice from scipy.stats import boxcox from scipy.integrate import simps from realtime_talib import Indicator from sklearn.model_selection import train_test_split from sklearn.utils import resample from pprint import ...
else: break sentiment_scores[currDate] = numer / denom numer, denom = 0.0, 0.0 sentiment_scores_df = pd.DataFrame(list(sentiment_scores.items()), columns=["Date", "Sentiment"]) return sentiment_scores_df def merge_datasets(origin, other_sets): print("\tMerging datasets") merged = origin for s...
numer += (nextRow["Sentiment"] * nextRow["Tweets"]) denom += nextRow["Tweets"]
conditional_block
networking.go
/* <!-- Copyright (c) 2016 Christoph Berger. Some rights reserved. Use of this text is governed by a Creative Commons Attribution Non-Commercial Share-Alike License that can be found in the LICENSE.txt file. The source code contained in this file may import third-party source code whose licenses are provided in...
log.Println("Flush the buffer.") err = rw.Flush() if err != nil { return errors.Wrap(err, "Flush failed.") } // Read the reply. log.Println("Read the reply.") response, err := rw.ReadString('\n') if err != nil { return errors.Wrap(err, "Client: Failed to read the reply: '"+response+"'") } ...
{ return errors.Wrap(err, "Could not send additional STRING data ("+strconv.Itoa(n)+" bytes written)") }
conditional_block
networking.go
/* <!-- Copyright (c) 2016 Christoph Berger. Some rights reserved. Use of this text is governed by a Creative Commons Attribution Non-Commercial Share-Alike License that can be found in the LICENSE.txt file. The source code contained in this file may import third-party source code whose licenses are provided in...
* It dispatches incoming commands to the associated handler based on the commands name. */ // HandleFunc is a function that handles an incoming command. // It receives the open connection wrapped in a `ReadWriter` interface. type HandleFunc func(*bufio.ReadWriter) // Endpoint provides an endpoint to other...
The nature of the data depends on the respective command. To handle this, we create an `Endpoint` object with the following properties: * It allows to register one or more handler functions, where each can handle a particular command.
random_line_split
networking.go
/* <!-- Copyright (c) 2016 Christoph Berger. Some rights reserved. Use of this text is governed by a Creative Commons Attribution Non-Commercial Share-Alike License that can be found in the LICENSE.txt file. The source code contained in this file may import third-party source code whose licenses are provided in...
// The Lshortfile flag includes file name and line number in log messages. func init() { log.SetFlags(log.Lshortfile) } /* ## How to get and run the code Step 1: `go get` the code. Note the `-d` flag that prevents auto-installing the binary into `$GOPATH/bin`. go get -d github.com/appliedgo/netwo...
{ connect := flag.String("connect", "", "IP address of process to join. If empty, go into listen mode.") flag.Parse() // If the connect flag is set, go into client mode. if *connect != "" { err := client(*connect) if err != nil { log.Println("Error:", errors.WithStack(err)) } log.Println("Clie...
identifier_body
networking.go
/* <!-- Copyright (c) 2016 Christoph Berger. Some rights reserved. Use of this text is governed by a Creative Commons Attribution Non-Commercial Share-Alike License that can be found in the LICENSE.txt file. The source code contained in this file may import third-party source code whose licenses are provided in...
(ip string) error { // Some test data. Note how GOB even handles maps, slices, and // recursive data structures without problems. testStruct := complexData{ N: 23, S: "string data", M: map[string]int{"one": 1, "two": 2, "three": 3}, P: []byte("abc"), C: &complexData{ N: 256, S: "Recursive s...
client
identifier_name
model_seq.py
#!/usr/bin/python # -*- coding: utf-8 -*- # Identify and label symptom phrases in narrative import sys sys.path.append('/u/sjeblee/research/va/git/verbal-autopsy') import data_util import models_pytorch import word2vec import xmltoseq from keras.models import Model from keras.layers import Input, GRU, LSTM, Dense, Dr...
elif lab in e_labels: time_seq.append('O') event_seq.append(lab) else: time_seq.append(lab) event_seq.append(lab) y_time.append(time_seq) y_event.append(event_seq) return y_time, y_event ''' Get word vectors...
time_seq.append(lab) event_seq.append('O')
conditional_block
model_seq.py
#!/usr/bin/python # -*- coding: utf-8 -*- # Identify and label symptom phrases in narrative import sys sys.path.append('/u/sjeblee/research/va/git/verbal-autopsy') import data_util import models_pytorch import word2vec import xmltoseq from keras.models import Model from keras.layers import Input, GRU, LSTM, Dense, Dr...
(encoder_model, decoder_model, testx, output_seq_len, output_dim, vec_labels=False): testy_pred = [] print "output_seq_len: " + str(output_seq_len) print "output_dim: " + str(output_dim) print "vec_labels: " + str(vec_labels) for test_seq in testx: input_seq = [] input_seq.append(tes...
predict_seqs
identifier_name
model_seq.py
#!/usr/bin/python # -*- coding: utf-8 -*- # Identify and label symptom phrases in narrative import sys sys.path.append('/u/sjeblee/research/va/git/verbal-autopsy') import data_util import models_pytorch import word2vec import xmltoseq from keras.models import Model from keras.layers import Input, GRU, LSTM, Dense, Dr...
def sent2tokens(sent): return [token for token, label in sent] def ispunc(input_string, start, end): punc = ' :;,./?' s = input_string[start:end] for char in s: if char not in punc: return False return True if __name__ == "__main__":main()
return [label for token, label in sent]
identifier_body
model_seq.py
#!/usr/bin/python # -*- coding: utf-8 -*- # Identify and label symptom phrases in narrative import sys sys.path.append('/u/sjeblee/research/va/git/verbal-autopsy') import data_util import models_pytorch import word2vec import xmltoseq from keras.models import Model from keras.layers import Input, GRU, LSTM, Dense, Dr...
#'postag[:2]': postag[:2], } if i > 0: word1 = sent[i-1][0] postag1 = sent[i-1][1] features.update({ '-1:word.lower()': word1.lower(), '-1:word.istitle()': word1.istitle(), '-1:word.isupper()': word1.isupper(), #'-1:postag': postag1...
'word.isdigit()': word.isdigit(), #'postag': postag,
random_line_split
ChoiceSet.js
/** * ChoiceSet is a weighted random solution that allows the each of the * items that are being chosen to have simply a name or full suite of * values other than their weights and names. * * Once the items have been setup with a name and weight, the system works * by creating a one to one array. Each item in the...
/** * Simulates rolling dice with n-number of sides. In pen and paper * role-playing games, 3d6 means to roll three six sided dice together * and sum their results. Calling ChoiceSet.rollDice(3, 6) will simulate * the same effect. * * Optionally, if repeat is set to a number greater than 1, an arr...
{ let choices = []; for (let i = 0; i < count; i++) { choices.push(this.chooseProp(prop)) } return choices; }
identifier_body
ChoiceSet.js
/** * ChoiceSet is a weighted random solution that allows the each of the * items that are being chosen to have simply a name or full suite of * values other than their weights and names. * * Once the items have been setup with a name and weight, the system works * by creating a one to one array. Each item in the...
} /** * Allows easy adjustment of a weight for a given index. The weight is * modified and then calcIntervals() is called to realign things for * the next choosing. * * NOTE see if this is the optimal setting for adjusting the weights * * @param {Number} index the index of the choice to modify...
return cur + array.slice(0,idx).reduce((p, c) => p + c, 0); }); this.intervals = intervals; this.maxInterval = intervals[intervals.length - 1];
random_line_split
ChoiceSet.js
/** * ChoiceSet is a weighted random solution that allows the each of the * items that are being chosen to have simply a name or full suite of * values other than their weights and names. * * Once the items have been setup with a name and weight, the system works * by creating a one to one array. Each item in the...
} if (index === -1) { console.log('ERROR'); console.log(roll, index); } return this.choices[index]; } /** * Using the probability counts on http://www.anydice.com in * conjunction with rolling 3 six sided dice and adding their * results, you can achieve a more realistically ...
{ index = i; break; }
conditional_block
ChoiceSet.js
/** * ChoiceSet is a weighted random solution that allows the each of the * items that are being chosen to have simply a name or full suite of * values other than their weights and names. * * Once the items have been setup with a name and weight, the system works * by creating a one to one array. Each item in the...
(prop = 'name') { return this.chooseProp(prop); } /** * Returns an array of results equivalent to those returned by * chooseOne. * * @param {Number} count an integer denoting the number of choices to pick * @param {String} prop the property of the randomly chosen item * @return {Mixed} the ...
chooseOne
identifier_name
canvas.go
// Copyright 2012 - 2018 The ASCIIToSVG Contributors // All rights reserved. package asciitosvg import ( "bytes" "encoding/json" "fmt" "image" "regexp" "sort" "strconv" "unicode/utf8" ) // Canvas provides methods for returning objects from an underlying textual grid. type Canvas interface { // A canvas has ...
// findObjects finds all objects (lines, polygons, and text) within the underlying grid. func (c *canvas) findObjects() { p := Point{} // Find any new paths by starting with a point that wasn't yet visited, beginning at the top // left of the grid. for y := 0; y < c.size.Y; y++ { p.Y = y for x := 0; x < c.si...
{ maxTL := Point{X: -1, Y: -1} var q []Object for _, o := range c.objects { // An object can't really contain another unless it is a polygon. if !o.IsClosed() { continue } if o.HasPoint(p) && o.Corners()[0].X > maxTL.X && o.Corners()[0].Y > maxTL.Y { q = append(q, o) maxTL.X = o.Corners()[0].X ...
identifier_body
canvas.go
// Copyright 2012 - 2018 The ASCIIToSVG Contributors // All rights reserved. package asciitosvg import ( "bytes" "encoding/json" "fmt" "image" "regexp" "sort" "strconv" "unicode/utf8" ) // Canvas provides methods for returning objects from an underlying textual grid. type Canvas interface { // A canvas has ...
// Trim the right side of the text object. for len(obj.points) != 0 && c.at(obj.points[len(obj.points)-1]).isSpace() { obj.points = obj.points[:len(obj.points)-1] } obj.seal(c) return obj } func (c *canvas) at(p Point) char { return c.grid[p.Y*c.size.X+p.X] } func (c *canvas) isVisited(p Point) bool { retu...
obj.SetTag(t) c.options[t] = m.(map[string]interface{}) }
random_line_split
canvas.go
// Copyright 2012 - 2018 The ASCIIToSVG Contributors // All rights reserved. package asciitosvg import ( "bytes" "encoding/json" "fmt" "image" "regexp" "sort" "strconv" "unicode/utf8" ) // Canvas provides methods for returning objects from an underlying textual grid. type Canvas interface { // A canvas has ...
(p Point) { o := p.Y*c.size.X + p.X if !c.visited[o] { panic(fmt.Errorf("internal error: point %+v never visited", p)) } c.visited[o] = false } func (c *canvas) canLeft(p Point) bool { return p.X > 0 } func (c *canvas) canRight(p Point) bool { return p.X < c.size.X-1 } func (c *canvas) canUp(p Point) bool { ...
unvisit
identifier_name
canvas.go
// Copyright 2012 - 2018 The ASCIIToSVG Contributors // All rights reserved. package asciitosvg import ( "bytes" "encoding/json" "fmt" "image" "regexp" "sort" "strconv" "unicode/utf8" ) // Canvas provides methods for returning objects from an underlying textual grid. type Canvas interface { // A canvas has ...
return objs } // The next returns the points that can be used to make progress, scanning (in order) horizontal // progress to the left or right, vertical progress above or below, or diagonal progress to NW, // NE, SW, and SE. It skips any points already visited, and returns all of the possible progress // points. fu...
{ if c.isVisited(n) { continue } c.visit(n) p2 := make([]Point, len(points)+1) copy(p2, points) p2[len(p2)-1] = n objs = append(objs, c.scanPath(p2)...) }
conditional_block
client.rs
use std::io; use std::io::prelude::*; use std::net::TcpStream; use std::cmp; use rand::{Rng, OsRng}; use alert; use tls_result::{TlsResult, TlsError, TlsErrorKind}; use tls_result::TlsErrorKind::{UnexpectedMessage, InternalError, DecryptError, IllegalParameter}; use util::{SurugaError, crypto_compare}; use cipher::{se...
(&mut self, buf: &[u8]) -> io::Result<()> { let result = self.writer.write_application_data(buf); match result { Ok(()) => Ok(()), Err(err) => { let err = self.send_tls_alert(err); // FIXME more verbose io error Err(io::Error::new(i...
write_all
identifier_name
client.rs
use std::io; use std::io::prelude::*; use std::net::TcpStream; use std::cmp; use rand::{Rng, OsRng}; use alert; use tls_result::{TlsResult, TlsError, TlsErrorKind}; use tls_result::TlsErrorKind::{UnexpectedMessage, InternalError, DecryptError, IllegalParameter}; use util::{SurugaError, crypto_compare}; use cipher::{se...
try!(self.writer.write_handshake(&client_key_exchange)); try!(self.writer.write_change_cipher_spec()); // SECRET let master_secret = { let mut label_seed = b"master secret".to_vec(); label_seed.extend(&cli_random); label_seed.extend(&server_hello_dat...
random_line_split
client.rs
use std::io; use std::io::prelude::*; use std::net::TcpStream; use std::cmp; use rand::{Rng, OsRng}; use alert; use tls_result::{TlsResult, TlsError, TlsErrorKind}; use tls_result::TlsErrorKind::{UnexpectedMessage, InternalError, DecryptError, IllegalParameter}; use util::{SurugaError, crypto_compare}; use cipher::{se...
impl<R: Read, W: Write> Read for TlsClient<R, W> { // if ssl connection is failed, return `EndOfFile`. fn read(&mut self, buf: &mut [u8]) -> io::Result<usize> { let mut pos: usize = 0; let len = buf.len(); while pos < len { let remaining = len - pos; if self.buf...
{ to.write(from).unwrap() }
identifier_body
analysis.py
#Mkhanyisi Gamedze # CS 251 - Spring 2017 # project 2 # global fields import sys import numpy as np import csv import data import scipy.stats import scipy.cluster.vq as vq import random # functions def range_(headers, data): """ Takes in a list of column headers and the Data object and returns a list of 2-element ...
(A, means): # set up some useful constants MIN_CHANGE = 1e-7 MAX_ITERATIONS = 100 D = means.shape[1] K = means.shape[0] N = A.shape[0] # iterate no more than MAX_ITERATIONS for i in range(MAX_ITERATIONS): # calculate the codes codes, errors = kmeans_classify( A, means ) # calculate the new means newme...
kmeans_algorithm
identifier_name
analysis.py
#Mkhanyisi Gamedze # CS 251 - Spring 2017 # project 2 # global fields import sys import numpy as np import csv import data import scipy.stats import scipy.cluster.vq as vq import random # functions def range_(headers, data): """ Takes in a list of column headers and the Data object and returns a list of 2-element ...
column_max=column_matrix.max(1) column_min=column_matrix.min(1) final=np.concatenate((column_min, column_max), axis=1) rng=final.tolist() return rng def mean(headers, data): """ Takes in a list of column headers and the Data object and returns a list of the mean values for each column. Use the built-in num...
print "wrong headers, not present in data Object" return []
conditional_block
analysis.py
#Mkhanyisi Gamedze # CS 251 - Spring 2017 # project 2 # global fields import sys import numpy as np import csv import data import scipy.stats import scipy.cluster.vq as vq import random # functions def range_(headers, data): """ Takes in a list of column headers and the Data object and returns a list of 2-element ...
index=index+1 #the projected data pdata=np.dot(V,(D.T)) pdata=pdata.T pcad=data.PCAData(headers,pdata,S,V,m) return pcad def kmeans_numpy( d, headers, K, whiten = True): '''Takes in a Data object, a set of headers, and the number of clusters to create Computes and returns the codebook, codes, and repre...
e=(d*d)/(U.shape[0]-1) S[index]=e
random_line_split
analysis.py
#Mkhanyisi Gamedze # CS 251 - Spring 2017 # project 2 # global fields import sys import numpy as np import csv import data import scipy.stats import scipy.cluster.vq as vq import random # functions def range_(headers, data): """ Takes in a list of column headers and the Data object and returns a list of 2-element ...
""" def kmeans_algorithm(A, means): # set up some useful constants MIN_CHANGE = 1e-7 MAX_ITERATIONS = 100 D = means.shape[1] K = means.shape[0] N = A.shape[0] # iterate no more than MAX_ITERATIONS for i in range(MAX_ITERATIONS): # calculate the codes codes, errors = kmeans_classify( A, means ) # calcu...
ID=[] # list of ID values mindistances=[] # minimum distances algorithm for dpoint in d: distances=[] # distances from each mean for mean in means: # compute distance of each mean, using the distance formula differences=dpoint-mean squares=np.square(differences) sums=np.sum(squares) distance=np.sqr...
identifier_body
bundle.js
/******/ (function(modules) { // webpackBootstrap /******/ // The module cache /******/ var installedModules = {}; /******/ /******/ // The require function /******/ function __webpack_require__(moduleId) { /******/ /******/ // Check if module is in cache /******/ if(installedModules[moduleId]) { /******/ re...
beautify(number){ // to add "0" before 0,1,2,3,4,5,6,7,8,9 if (number < 10){ number = `0${number}`; } return number; } hours.textContent = beautify(t.hours); minutes.textContent = beautify(t.minutes); seconds.textContent = beautify(t.seconds); if (t.tot...
function
identifier_name
bundle.js
/******/ (function(modules) { // webpackBootstrap /******/ // The module cache /******/ var installedModules = {}; /******/ /******/ // The require function /******/ function __webpack_require__(moduleId) { /******/ /******/ // Check if module is in cache /******/ if(installedModules[moduleId]) { /******/ re...
info.addEventListener('click', function(event){ let target = event.target; if (target && target.classList.contains('info-header-tab')){ // Using for-loop to assign a particular content element to a particular tab for (let i = 0; i < tab.length; i++) { if (target == tab[i]){ hideT...
lassList.contains('hide')){ tabContent[b].classList.remove('hide'); tabContent[b].classList.add('show'); } } // attaching EventListener to the parent using delegetion
identifier_body
bundle.js
/******/ (function(modules) { // webpackBootstrap /******/ // The module cache /******/ var installedModules = {}; /******/ /******/ // The require function /******/ function __webpack_require__(moduleId) { /******/ /******/ // Check if module is in cache /******/ if(installedModules[moduleId]) { /******/ re...
}); days.addEventListener('blur', function(){ daysSum = +this.value; totalSum = (peopleSum + daysSum) * 4000 * placeIndex; if (days.value == '' || people.value == '' || days.value == '0' || people.value == '0'){ totalOutput.innerHTML = 0; } else { totalOutput.innerHTML = totalSu...
{ totalOutput.innerHTML = totalSum; }
conditional_block
bundle.js
/******/ (function(modules) { // webpackBootstrap /******/ // The module cache /******/ var installedModules = {}; /******/ /******/ // The require function /******/ function __webpack_require__(moduleId) { /******/ /******/ // Check if module is in cache /******/ if(installedModules[moduleId]) { /******/ re...
/*!***************************!*\ !*** ./js/parts/timer.js ***! \***************************/ /*! no static exports found */ /***/ (function(module, exports) { function timer() { // TIMER let deadline = "2019-06-14";//if the date expires, change the date so the timer works appropriately function getRemai...
random_line_split
codec.rs
use std::pin::Pin; use std::task::{Context, Poll}; use async_trait::async_trait; use bytes::BytesMut; // We use `futures::stream::Stream` because `std::async_iter::AsyncIterator` (previously known as // `std::stream::Stream`) is still a bare-bones implementation - it does not even have an // `async fn next` method! us...
buffer.put_u8(item.len().try_into().unwrap()); buffer.put_slice(item.as_bytes()); } #[tokio::test] async fn sink() { let (stream, mut mock) = SendStream::new_mock(4096); let mut sink = Sink::new(stream, encode); assert_matches!(sink.feed("hello world".to_string()).a...
fn encode(item: &String, buffer: &mut BytesMut) {
random_line_split
codec.rs
use std::pin::Pin; use std::task::{Context, Poll}; use async_trait::async_trait; use bytes::BytesMut; // We use `futures::stream::Stream` because `std::async_iter::AsyncIterator` (previously known as // `std::stream::Stream`) is still a bare-bones implementation - it does not even have an // `async fn next` method! us...
#[tokio::test] async fn source() { let (stream, mut mock) = RecvStream::new_mock(4096); let mut source = Source::new(stream, decode); mock.write_all(b"\x0bhello world\x03foo\x03bar") .await .unwrap(); drop(mock); assert_matches!(source.next().awa...
{ if buffer.remaining() < 1 { return Ok(None); } let size = usize::from(buffer[0]); if buffer.remaining() < 1 + size { return Ok(None); } let mut vec = vec![0u8; size]; buffer.get_u8(); buffer.copy_to_slice(&mut vec); Ok(Som...
identifier_body
codec.rs
use std::pin::Pin; use std::task::{Context, Poll}; use async_trait::async_trait; use bytes::BytesMut; // We use `futures::stream::Stream` because `std::async_iter::AsyncIterator` (previously known as // `std::stream::Stream`) is still a bare-bones implementation - it does not even have an // `async fn next` method! us...
(&mut self, stream: &mut Stream) -> Result<Option<Self::Item>, Self::Error> { loop { if let Some(item) = self(&mut stream.buffer())? { return Ok(Some(item)); } if stream.recv_or_eof().await?.is_none() { if stream.buffer().is_empty() { ...
decode
identifier_name
issued_certificate.pb.go
// Code generated by protoc-gen-gogo. DO NOT EDIT. // source: github.com/solo-io/gloo-mesh/api/certificates/issued_certificate.proto package v1alpha2 import ( bytes "bytes" fmt "fmt" math "math" _ "github.com/gogo/protobuf/gogoproto" proto "github.com/gogo/protobuf/proto" _ "github.com/gogo/protobuf/types" v1...
func (m *IssuedCertificateSpec) XXX_Merge(src proto.Message) { xxx_messageInfo_IssuedCertificateSpec.Merge(m, src) } func (m *IssuedCertificateSpec) XXX_Size() int { return xxx_messageInfo_IssuedCertificateSpec.Size(m) } func (m *IssuedCertificateSpec) XXX_DiscardUnknown() { xxx_messageInfo_IssuedCertificateSpec.Dis...
random_line_split
issued_certificate.pb.go
// Code generated by protoc-gen-gogo. DO NOT EDIT. // source: github.com/solo-io/gloo-mesh/api/certificates/issued_certificate.proto package v1alpha2 import ( bytes "bytes" fmt "fmt" math "math" _ "github.com/gogo/protobuf/gogoproto" proto "github.com/gogo/protobuf/proto" _ "github.com/gogo/protobuf/types" v1...
func init() { proto.RegisterFile("github.com/solo-io/gloo-mesh/api/certificates/issued_certificate.proto", fileDescriptor_86ade12c22739639) } var fileDescriptor_86ade12c22739639 = []byte{ // 479 bytes of a gzipped FileDescriptorProto 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0x8c, 0x53, 0x5d, 0x...
{ proto.RegisterEnum("certificates.mesh.gloo.solo.io.IssuedCertificateStatus_State", IssuedCertificateStatus_State_name, IssuedCertificateStatus_State_value) proto.RegisterType((*IssuedCertificateSpec)(nil), "certificates.mesh.gloo.solo.io.IssuedCertificateSpec") proto.RegisterType((*IssuedCertificateStatus)(nil), "...
identifier_body
issued_certificate.pb.go
// Code generated by protoc-gen-gogo. DO NOT EDIT. // source: github.com/solo-io/gloo-mesh/api/certificates/issued_certificate.proto package v1alpha2 import ( bytes "bytes" fmt "fmt" math "math" _ "github.com/gogo/protobuf/gogoproto" proto "github.com/gogo/protobuf/proto" _ "github.com/gogo/protobuf/types" v1...
() string { if m != nil { return m.Org } return "" } func (m *IssuedCertificateSpec) GetSigningCertificateSecret() *v1.ObjectRef { if m != nil { return m.SigningCertificateSecret } return nil } func (m *IssuedCertificateSpec) GetIssuedCertificateSecret() *v1.ObjectRef { if m != nil { return m.IssuedCerti...
GetOrg
identifier_name
issued_certificate.pb.go
// Code generated by protoc-gen-gogo. DO NOT EDIT. // source: github.com/solo-io/gloo-mesh/api/certificates/issued_certificate.proto package v1alpha2 import ( bytes "bytes" fmt "fmt" math "math" _ "github.com/gogo/protobuf/gogoproto" proto "github.com/gogo/protobuf/proto" _ "github.com/gogo/protobuf/types" v1...
if this.Error != that1.Error { return false } if this.State != that1.State { return false } if !bytes.Equal(this.XXX_unrecognized, that1.XXX_unrecognized) { return false } return true }
{ return false }
conditional_block
mprocessing.py
""" by oPromessa, 2018 Published on https://github.com/oPromessa/flickr-uploader/ mprocessing = Helper function to run function in multiprocessing mode """ # ----------------------------------------------------------------------------- # Import section for Python 2 and 3 compatible code # from __future__...
else: # Control for when running multiprocessing release locking logging.debug('===Multiprocessing=== <--[ ].lock.release') try: adb_lock.release() use_dblock_return = True except Exception: NPR.niceerror(caught=Tru...
logging.debug('===Multiprocessing=== -->[ ].lock.acquire') try: if adb_lock.acquire(): use_dblock_return = True except Exception: NPR.niceerror(caught=True, caughtprefix='+++ ', caught...
conditional_block
mprocessing.py
""" by oPromessa, 2018 Published on https://github.com/oPromessa/flickr-uploader/ mprocessing = Helper function to run function in multiprocessing mode """ # ----------------------------------------------------------------------------- # Import section for Python 2 and 3 compatible code # from __future__...
# ----------------------------------------------------------------------------- # mprocessing # def mprocessing(nprocs, lockdb, running, mutex, itemslist, a_fn, cur): """ mprocessing Function nprocs = Number of processes to launch (int) lockdb = lock for access to Database (lock obj ...
""" use_lock adb_lock = lock to be used operation = True => Lock = False => Release nprocs = >0 when in multiprocessing mode >>> alock = multiprocessing.Lock() >>> use_lock(alock, True, 2) True >>> use_lock(alock, False, 2) True ...
identifier_body
mprocessing.py
""" by oPromessa, 2018 Published on https://github.com/oPromessa/flickr-uploader/ mprocessing = Helper function to run function in multiprocessing mode """ # ----------------------------------------------------------------------------- # Import section for Python 2 and 3 compatible code # from __future__...
logger = multiprocessing.get_logger() logger.setLevel(log_level) logging.debug('===Multiprocessing=== Logging defined!') # --------------------------------------------------------- # chunk # # Divides an iterable in slices/chunks of size size # def chunk(iter_list, size): "...
# CODING No need for such low level debugging to stderr # multiprocessing.log_to_stderr()
random_line_split
mprocessing.py
""" by oPromessa, 2018 Published on https://github.com/oPromessa/flickr-uploader/ mprocessing = Helper function to run function in multiprocessing mode """ # ----------------------------------------------------------------------------- # Import section for Python 2 and 3 compatible code # from __future__...
(nprocs, lockdb, running, mutex, itemslist, a_fn, cur): """ mprocessing Function nprocs = Number of processes to launch (int) lockdb = lock for access to Database (lock obj to be created) running = Value to count processed items (count obj to be created) mutex ...
mprocessing
identifier_name
aes.rs
use std::ops::BitXor; use std::ops::BitXorAssign; use util; use xor; const RCON: [u8; 11] = [ 0x8d, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, ]; const SBOX: [u8; 256] = [ 0x63, 0x7C, 0x77, 0x7B, 0xF2, 0x6B, 0x6F, 0xC5, 0x30, 0x01, 0x67, 0x2B, 0xFE, 0xD7, 0xAB, 0x76, 0xCA, 0x82, 0xC9, 0x7D, 0xF...
const COLUMN_MATRIX: [u8; 16] = [2, 3, 1, 1, 1, 2, 3, 1, 1, 1, 2, 3, 3, 1, 1, 2]; const INV_COLUMN_MATRIX: [u8; 16] = [14, 11, 13, 9, 9, 14, 11, 13, 13, 9, 14, 11, 11, 13, 9, 14]; fn gmul(mut a: u8, mut b: u8) -> u8 { let mut p = 0; for _ in 0..8 { if (b & 0x1) != 0 { p.bitxor_assign(a); } let ...
{ let mut rows = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; shift_rows(&mut rows); assert_ne!( rows, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] ); inv_shift_rows(&mut rows); assert_eq!( rows, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] ); }
identifier_body
aes.rs
use std::ops::BitXor; use std::ops::BitXorAssign; use util; use xor; const RCON: [u8; 11] = [ 0x8d, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, ]; const SBOX: [u8; 256] = [ 0x63, 0x7C, 0x77, 0x7B, 0xF2, 0x6B, 0x6F, 0xC5, 0x30, 0x01, 0x67, 0x2B, 0xFE, 0xD7, 0xAB, 0x76, 0xCA, 0x82, 0xC9, 0x7D, 0xF...
(key: &[u8]) -> Vec<u8> { let key_length = key.len(); let (rounds, sbox_round, extra_expansions) = match key_length { 16 => (10, false, 0), 24 => (12, false, 2), 32 => (14, true, 3), len => panic!("Unsupported key length {}", len), }; let expanded_key_size = 16 * (rounds + 1); let mut expanded...
expand_key
identifier_name
aes.rs
use std::ops::BitXor; use std::ops::BitXorAssign; use util; use xor; const RCON: [u8; 11] = [ 0x8d, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, ]; const SBOX: [u8; 256] = [ 0x63, 0x7C, 0x77, 0x7B, 0xF2, 0x6B, 0x6F, 0xC5, 0x30, 0x01, 0x67, 0x2B, 0xFE, 0xD7, 0xAB, 0x76, 0xCA, 0x82, 0xC9, 0x7D, 0xF...
impl CBCCipherMode { fn transform(&mut self, chunk: &[u8; 16], transform: &Fn(&[u8; 16]) -> [u8; 16]) -> [u8; 16] { match self.operation { Operation::Encrypt => { xor::buffer_mut(&mut self.initialization_vector, xor::Key::FullBuffer(chunk)); self.initialization_vector = transform(&self.initi...
}
random_line_split
tcp.rs
//! TcpStream wrappers that supports connecting with options #[cfg(unix)] use std::os::unix::io::{AsRawFd, FromRawFd, IntoRawFd, RawFd}; #[cfg(windows)] use std::os::windows::io::{AsRawSocket, FromRawSocket, IntoRawSocket, RawSocket}; use std::{ io::{self, ErrorKind}, net::SocketAddr, ops::{Deref, DerefMut...
debug!( "0.0.0.0:{} may have already been occupied, retry with IPV6_V6ONLY", addr.port() ); set_only_v6(&socket, true); socket.bind(*addr)?; } Err(err) => retu...
// This is probably 0.0.0.0 with the same port has already been occupied
random_line_split
tcp.rs
//! TcpStream wrappers that supports connecting with options #[cfg(unix)] use std::os::unix::io::{AsRawFd, FromRawFd, IntoRawFd, RawFd}; #[cfg(windows)] use std::os::windows::io::{AsRawSocket, FromRawSocket, IntoRawSocket, RawSocket}; use std::{ io::{self, ErrorKind}, net::SocketAddr, ops::{Deref, DerefMut...
(self: Pin<&mut Self>, cx: &mut task::Context<'_>) -> Poll<io::Result<()>> { self.project().0.poll_flush(cx) } fn poll_shutdown(self: Pin<&mut Self>, cx: &mut task::Context<'_>) -> Poll<io::Result<()>> { self.project().0.poll_shutdown(cx) } } /// `TcpListener` for accepting inbound connect...
poll_flush
identifier_name
tcp.rs
//! TcpStream wrappers that supports connecting with options #[cfg(unix)] use std::os::unix::io::{AsRawFd, FromRawFd, IntoRawFd, RawFd}; #[cfg(windows)] use std::os::windows::io::{AsRawSocket, FromRawSocket, IntoRawSocket, RawSocket}; use std::{ io::{self, ErrorKind}, net::SocketAddr, ops::{Deref, DerefMut...
#[cfg(windows)] impl AsRawSocket for TcpStream { fn as_raw_socket(&self) -> RawSocket { self.0.as_raw_socket() } }
self.0.as_raw_fd() } }
identifier_body
signature.go
/* Copyright IBM Corp. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 */ package idemix import ( "github.com/hyperledger/fabric-amcl/amcl" "github.com/hyperledger/fabric-amcl/amcl/FP256BN" "github.com/pkg/errors" ) // signLabel is the label used in zero-knowledge proof (ZKP) to identify that this ZKP i...
(Disclosure []byte) []int { HiddenIndices := make([]int, 0) for index, disclose := range Disclosure { if disclose == 0 { HiddenIndices = append(HiddenIndices, index) } } return HiddenIndices } // NewSignature creates a new idemix signature (Schnorr-type signature) // The []byte Disclosure steers which attri...
hiddenIndices
identifier_name
signature.go
/* Copyright IBM Corp. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 */ package idemix import ( "github.com/hyperledger/fabric-amcl/amcl" "github.com/hyperledger/fabric-amcl/amcl/FP256BN" "github.com/pkg/errors" ) // signLabel is the label used in zero-knowledge proof (ZKP) to identify that this ZKP i...
HiddenIndices := hiddenIndices(Disclosure) // Start sig r1 := RandModOrder(rng) r2 := RandModOrder(rng) r3 := FP256BN.NewBIGcopy(r1) r3.Invmodp(GroupOrder) Nonce := RandModOrder(rng) A := EcpFromProto(cred.A) B := EcpFromProto(cred.B) APrime := FP256BN.G1mul(A, r1) // A' = A^{r1} ABar := FP256BN.G1mul(B...
{ return nil, errors.Errorf("cannot create idemix signature: received nil input") }
conditional_block
signature.go
/* Copyright IBM Corp. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 */ package idemix import ( "github.com/hyperledger/fabric-amcl/amcl" "github.com/hyperledger/fabric-amcl/amcl/FP256BN" "github.com/pkg/errors" ) // signLabel is the label used in zero-knowledge proof (ZKP) to identify that this ZKP i...
{ HiddenIndices := hiddenIndices(Disclosure) APrime := EcpFromProto(sig.GetAPrime()) ABar := EcpFromProto(sig.GetABar()) BPrime := EcpFromProto(sig.GetBPrime()) Nym := EcpFromProto(sig.GetNym()) ProofC := FP256BN.FromBytes(sig.GetProofC()) ProofSSk := FP256BN.FromBytes(sig.GetProofSSk()) ProofSE := FP256BN.Fro...
identifier_body
signature.go
/* Copyright IBM Corp. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 */ package idemix import ( "github.com/hyperledger/fabric-amcl/amcl" "github.com/hyperledger/fabric-amcl/amcl/FP256BN" "github.com/pkg/errors" ) // signLabel is the label used in zero-knowledge proof (ZKP) to identify that this ZKP i...
Htp1 := H.Mul(temp1) e2 := FP256BN.Ate(W,Htp1) e2.Inverse() e2.Mul(e1) Htp2 := H.Mul(temp2) e4 := FP256BN.Ate(GenG2,Htp2) e4.Inverse() e4.Mul(e2) R3 := FP256BN.Fexp(e4) R4 := FP256BN.G1mul(T1,rx) R4.Sub(U.Mul(rDelta1)) R5 := FP256BN.G1mul(T2,rx) R5.Sub(V.Mul(rDelta2)) // proofData is the data being hash...
//compute pairing Grx := GenG2.Mul(rx) T4 := H.Mul(temp) e1 := FP256BN.Ate2(Grx,Ax,Grx,T4)
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in-memory-plants-db-service.ts
import { InMemoryDbService, RequestInfo } from 'angular-in-memory-web-api'; import { ResponseOptions } from '@angular/http'; import { Category } from '../app/products/models/category'; export class InMemoryPlantsDbService implements InMemoryDbService { categories: Category[];
() { this.categories = [ { 'id': 0, 'name': 'Balkonnövények', 'plantsCount': 3 }, { 'id': 1, 'name': 'Rózsák', 'plantsCount': 4 }, { 'id': 2, 'name': 'Bogyós gyülömcsök', 'plantsCount': 5 }, { '...
constructor
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in-memory-plants-db-service.ts
import { InMemoryDbService, RequestInfo } from 'angular-in-memory-web-api'; import { ResponseOptions } from '@angular/http'; import { Category } from '../app/products/models/category'; export class InMemoryPlantsDbService implements InMemoryDbService { categories: Category[]; constructor() { this.categories =...
'description': 'Tűzpiros virágai fehéren csíkozottak. Mindehhez elragadó illat párosul.', 'plantingTime': ['MARCH', 'APRIL', 'MAY', 'OCT', 'NOV'], 'waterReq': 'MEDIUM', 'nutritionReq': 'BIWEEKLY', 'isFavorite': true, 'imageUrl': 'https://www.starkl.hu/img/eshop/thumbnails...
'categoryId': 1, 'isFrostProof': true, 'lightReq': 'HALF_SHADY',
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in-memory-plants-db-service.ts
import { InMemoryDbService, RequestInfo } from 'angular-in-memory-web-api'; import { ResponseOptions } from '@angular/http'; import { Category } from '../app/products/models/category'; export class InMemoryPlantsDbService implements InMemoryDbService { categories: Category[]; constructor() { this.categories =...
conditional_block
piv.rs
// Copyright 2021 Gravitational, Inc // // 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 agree...
else { let mut ret: Vec<u8> = len .to_be_bytes() .iter() .skip_while(|&x| *x == 0) .cloned() .collect(); ret.insert(0, 0x80 | ret.len() as u8); ret } }
{ vec![len as u8] }
conditional_block
piv.rs
// Copyright 2021 Gravitational, Inc // // 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 agree...
} // SELECT command tags. const TLV_TAG_PIV_APPLICATION_PROPERTY_TEMPLATE: u8 = 0x61; const TLV_TAG_AID: u8 = 0x4F; const TLV_TAG_COEXISTENT_TAG_ALLOCATION_AUTHORITY: u8 = 0x79; const TLV_TAG_DATA_FIELD: u8 = 0x53; const TLV_TAG_FASC_N: u8 = 0x30; const TLV_TAG_GUID: u8 = 0x34; const TLV_TAG_EXPIRATION_DATE: u8 = 0x3...
{ let mut buf = Vec::new(); if let Some(data) = &self.data { buf.extend_from_slice(data); } let status: [u8; 2] = self.status.into(); buf.extend_from_slice(&status); buf }
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piv.rs
// Copyright 2021 Gravitational, Inc // // 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 agree...
status, } } pub fn encode(&self) -> Vec<u8> { let mut buf = Vec::new(); if let Some(data) = &self.data { buf.extend_from_slice(data); } let status: [u8; 2] = self.status.into(); buf.extend_from_slice(&status); buf } } // SELEC...
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piv.rs
// Copyright 2021 Gravitational, Inc // // 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 agree...
(len: usize) -> Vec<u8> { if len < 0x7f { vec![len as u8] } else { let mut ret: Vec<u8> = len .to_be_bytes() .iter() .skip_while(|&x| *x == 0) .cloned() .collect(); ret.insert(0, 0x80 | ret.len() as u8); ret } }
len_to_vec
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monitor.go
package command import ( "fmt" "strings" "sync" "time" "github.com/hashicorp/nomad/api" "github.com/hashicorp/nomad/nomad/structs" "github.com/mitchellh/cli" ) const ( // updateWait is the amount of time to wait between status // updates. Because the monitor is poll-based, we use this // delay to avoid ove...
out += fmt.Sprintf("%s* Constraint %q filtered %d nodes\n", prefix, cs, num) } // Print exhaustion info if ne := metrics.NodesExhausted; ne > 0 { out += fmt.Sprintf("%s* Resources exhausted on %d nodes\n", prefix, ne) } for class, num := range metrics.ClassExhausted { out += fmt.Sprintf("%s* Class %q exhaus...
for cs, num := range metrics.ConstraintFiltered {
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monitor.go
package command import ( "fmt" "strings" "sync" "time" "github.com/hashicorp/nomad/api" "github.com/hashicorp/nomad/nomad/structs" "github.com/mitchellh/cli" ) const ( // updateWait is the amount of time to wait between status // updates. Because the monitor is poll-based, we use this // delay to avoid ove...
// monitor is used to start monitoring the given evaluation ID. It // writes output directly to the monitor's ui, and returns the // exit code for the command. If allowPrefix is false, monitor will only accept // exact matching evalIDs. // // The return code will be 0 on successful evaluation. If there are // problem...
{ m.Lock() defer m.Unlock() existing := m.state // Swap in the new state at the end defer func() { m.state = update }() // Check if the evaluation was triggered by a node if existing.node == "" && update.node != "" { m.ui.Output(fmt.Sprintf("Evaluation triggered by node %q", limit(update.node, m.lengt...
identifier_body
monitor.go
package command import ( "fmt" "strings" "sync" "time" "github.com/hashicorp/nomad/api" "github.com/hashicorp/nomad/nomad/structs" "github.com/mitchellh/cli" ) const ( // updateWait is the amount of time to wait between status // updates. Because the monitor is poll-based, we use this // delay to avoid ove...
if len(evals) == 0 { m.ui.Error(fmt.Sprintf("No evaluation(s) with prefix or id %q found", evalID)) return 1 } if len(evals) > 1 { // Format the evaluations out := make([]string, len(evals)+1) out[0] = "ID|Priority|Type|Triggered By|Status" for i, eval := range evals { out[i+1] = ...
{ m.ui.Error(fmt.Sprintf("Error reading evaluation: %s", err)) return 1 }
conditional_block
monitor.go
package command import ( "fmt" "strings" "sync" "time" "github.com/hashicorp/nomad/api" "github.com/hashicorp/nomad/nomad/structs" "github.com/mitchellh/cli" ) const ( // updateWait is the amount of time to wait between status // updates. Because the monitor is poll-based, we use this // delay to avoid ove...
(ui cli.Ui, alloc *api.Allocation, length int) { // Print filter stats ui.Output(fmt.Sprintf("Allocation %q status %q (%d/%d nodes filtered)", limit(alloc.ID, length), alloc.ClientStatus, alloc.Metrics.NodesFiltered, alloc.Metrics.NodesEvaluated)) ui.Output(formatAllocMetrics(alloc.Metrics, true, " ")) } func ...
dumpAllocStatus
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git.rs
use anyhow::{anyhow, Context, Result}; use git2::{ build::CheckoutBuilder, ApplyLocation, Delta, Diff, DiffFormat, DiffOptions, ErrorCode, IndexAddOption, Oid, Repository, ResetType, Signature, StashApplyOptions, Time, }; use itertools::Itertools; use std::cell::RefCell; use std::collections::HashSet; use std::...
{ stash_id: Oid, merge_status: MergeStatus, } #[derive(Debug)] struct MergeStatus { merge_head: Option<String>, merge_mode: Option<String>, merge_msg: Option<String>, }
Stash
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git.rs
use anyhow::{anyhow, Context, Result}; use git2::{ build::CheckoutBuilder, ApplyLocation, Delta, Diff, DiffFormat, DiffOptions, ErrorCode, IndexAddOption, Oid, Repository, ResetType, Signature, StashApplyOptions, Time, }; use itertools::Itertools; use std::cell::RefCell; use std::collections::HashSet; use std::...
pub fn save_snapshot(&mut self, staged_files: Vec<PathBuf>) -> Result<Snapshot> { let inner = || -> Result<Snapshot> { let deleted_files = self.get_deleted_files()?; let unstaged_diff = self.save_unstaged_diff()?; let backup_stash = self.save_snapshot_stash()?; ...
{ // When strict hash verification is disabled, it means libgit2 will not // compute the "object id" of Git objects (which is a SHA-1 hash) after // reading them to verify they match the object ids being used to look // them up. This improves performance, and I don't have in front of me ...
identifier_body
git.rs
use anyhow::{anyhow, Context, Result}; use git2::{ build::CheckoutBuilder, ApplyLocation, Delta, Diff, DiffFormat, DiffOptions, ErrorCode, IndexAddOption, Oid, Repository, ResetType, Signature, StashApplyOptions, Time, }; use itertools::Itertools; use std::cell::RefCell; use std::collections::HashSet; use std::...
Ok(()) } } #[derive(Debug)] pub struct Snapshot { pub staged_files: Vec<PathBuf>, backup_stash: Option<Stash>, unstaged_diff: Option<Vec<u8>>, } #[derive(Debug)] struct Stash { stash_id: Oid, merge_status: MergeStatus, } #[derive(Debug)] struct MergeStatus { merge_head: Option<St...
"Encountered error when deleting {}.", file.as_ref().display() ) })?; }
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client.rs
//! Common client functionalities. use crate::rdsys; use crate::rdsys::types::*; use std::ffi::{CStr, CString}; use std::mem; use std::os::raw::c_char; use std::os::raw::c_void; use std::ptr; use std::slice; use std::string::ToString; use std::time::Duration; use serde_json; use crate::config::{ClientConfig, NativeC...
let mut group_list_ptr: *const RDKafkaGroupList = ptr::null_mut(); trace!("Starting group list fetch"); let ret = unsafe { rdsys::rd_kafka_list_groups( self.native_ptr(), group_c_ptr, &mut group_list_ptr as *mut *const RDKafkaGroupList,...
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client.rs
//! Common client functionalities. use crate::rdsys; use crate::rdsys::types::*; use std::ffi::{CStr, CString}; use std::mem; use std::os::raw::c_char; use std::os::raw::c_void; use std::ptr; use std::slice; use std::string::ToString; use std::time::Duration; use serde_json; use crate::config::{ClientConfig, NativeC...
pub(crate) unsafe extern "C" fn native_stats_cb<C: ClientContext>( _conf: *mut RDKafka, json: *mut c_char, json_len: usize, opaque: *mut c_void, ) -> i32 { let context = Box::from_raw(opaque as *mut C); let mut bytes_vec = Vec::new(); bytes_vec.extend_from_slice(slice::from_raw_parts(json...
{ let fac = CStr::from_ptr(fac).to_string_lossy(); let log_message = CStr::from_ptr(buf).to_string_lossy(); let context = Box::from_raw(rdsys::rd_kafka_opaque(client) as *mut C); (*context).log( RDKafkaLogLevel::from_int(level), fac.trim(), log_message.trim(), ); mem::fo...
identifier_body
client.rs
//! Common client functionalities. use crate::rdsys; use crate::rdsys::types::*; use std::ffi::{CStr, CString}; use std::mem; use std::os::raw::c_char; use std::os::raw::c_void; use std::ptr; use std::slice; use std::string::ToString; use std::time::Duration; use serde_json; use crate::config::{ClientConfig, NativeC...
<T: Into<Option<Duration>>>( &self, topic: &str, partition: i32, timeout: T, ) -> KafkaResult<(i64, i64)> { let mut low = -1; let mut high = -1; let topic_c = CString::new(topic.to_string())?; let ret = unsafe { rdsys::rd_kafka_query_waterm...
fetch_watermarks
identifier_name
three-d-bar-chart.component.ts
import { Component, OnInit, ViewChild, ElementRef, Input, ViewEncapsulation } from '@angular/core'; import * as _ from 'lodash'; import * as d3 from 'd3'; declare var $: any; declare var svgHelp: any; declare var bar3d: any; @Component({ selector: 'app-three-d-bar-chart', templateUrl: './three-d-bar-chart.compone...
(private hostRef: ElementRef) { } ngOnInit() { if (this.data) { this.createChart(this.data) } } createChart(data) { let el = this.chartContainer.nativeElement; d3.select(el).select("svg").remove(); var margin = { top: 30, right: 20, bottom: 40, left: 20, ...
constructor
identifier_name
three-d-bar-chart.component.ts
import { Component, OnInit, ViewChild, ElementRef, Input, ViewEncapsulation } from '@angular/core'; import * as _ from 'lodash'; import * as d3 from 'd3'; declare var $: any; declare var svgHelp: any; declare var bar3d: any; @Component({ selector: 'app-three-d-bar-chart', templateUrl: './three-d-bar-chart.compone...
} createChart(data) { let el = this.chartContainer.nativeElement; d3.select(el).select("svg").remove(); var margin = { top: 30, right: 20, bottom: 40, left: 20, front: 0, back: 0 }, width = $(this.hostRef.nativeElement).parent().width() - margi...
{ this.createChart(this.data) }
conditional_block
three-d-bar-chart.component.ts
import { Component, OnInit, ViewChild, ElementRef, Input, ViewEncapsulation } from '@angular/core'; import * as _ from 'lodash'; import * as d3 from 'd3'; declare var $: any; declare var svgHelp: any; declare var bar3d: any; @Component({ selector: 'app-three-d-bar-chart', templateUrl: './three-d-bar-chart.compone...
// gridlines in y axis function function make_y_gridlines() { return d3.axisLeft(gridY) .ticks(5) } function type(d) { d.value = +d.value; return d; } function wrap(text, width, windowWidth) { text.each(function () { var text = d3.select(this), ...
{ return d3.axisBottom(x) .ticks(5) }
identifier_body
three-d-bar-chart.component.ts
import { Component, OnInit, ViewChild, ElementRef, Input, ViewEncapsulation } from '@angular/core'; import * as _ from 'lodash'; import * as d3 from 'd3'; declare var $: any; declare var svgHelp: any; declare var bar3d: any; @Component({ selector: 'app-three-d-bar-chart', templateUrl: './three-d-bar-chart.compone...
.on("mouseover", function (d) { if(d.value) showPopover.call(this, d) }).on("mouseout", function (d) { removePopovers() }) // sort based on distance from center, so we draw outermost // bars first. otherwise, bars drawn later might overlap bars drawn first .sort...
.style("cursor", "pointer")
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pageserver.rs
// // Main entry point for the Page Server executable // use log::*; use pageserver::defaults::*; use serde::{Deserialize, Serialize}; use std::{ env, net::TcpListener, path::{Path, PathBuf}, str::FromStr, thread, }; use zenith_utils::{auth::JwtAuth, logging, postgres_backend::AuthType}; use anyho...
() -> Result<()> { let arg_matches = App::new("Zenith page server") .about("Materializes WAL stream to pages and serves them to the postgres") .arg( Arg::with_name("listen-pg") .short("l") .long("listen-pg") .alias("listen") // keep some co...
main
identifier_name