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ospf_sh_request_list.pb.go
/* Copyright 2019 Cisco Systems 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 d...
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0x9e, 0x13, 0x47, 0xa1, 0xbe, 0x68, 0xcb, 0xb3, 0x9f, 0x7d, 0x18, 0x85, 0xb4, 0xd7, 0x24, 0x38, 0x55, 0x39, 0x7b, 0x09, 0xa3, 0x0c, 0x85, 0x44, 0xe3, 0x2a, 0x76, 0x57, 0x86, 0x98, 0xc3, 0xb6, 0xfc, 0x91, 0xc4, 0xa7, 0x5d, 0x89, 0xec, 0x39, 0x9c, 0xdc, 0xf0, 0xc4, 0xb6, 0x8d, 0x3b, 0x5c,
random_line_split
ospf_sh_request_list.pb.go
/* Copyright 2019 Cisco Systems 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 d...
func (m *OspfShRequestList) GetRequestInterfaceName() string { if m != nil { return m.RequestInterfaceName } return "" } func (m *OspfShRequestList) GetRequest() []*OspfShLsaSum { if m != nil { return m.Request } return nil } func init() { proto.RegisterType((*OspfShRequestList_KEYS)(nil), "cisco_ios_xr_...
{ if m != nil { return m.RequestNeighborAddress } return "" }
identifier_body
ospf_sh_request_list.pb.go
/* Copyright 2019 Cisco Systems 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 d...
() string { if m != nil { return m.InterfaceName } return "" } func (m *OspfShRequestList_KEYS) GetNeighborAddress() string { if m != nil { return m.NeighborAddress } return "" } type OspfShLsaSum struct { HeaderLsaType string `protobuf:"bytes,1,opt,name=header_lsa_type,json=headerLsaType,proto...
GetInterfaceName
identifier_name
login.go
package handler import ( "encoding/json" "errors" "fmt" "log" "math/rand" "net" "net/http" database "projectname_projectmanager/driver" model "projectname_projectmanager/model" "strings" "time" "github.com/dgrijalva/jwt-go" _ "github.com/go-sql-driver/mysql" //blank import "gopkg.in/ldap.v3" ) var jwtK...
(w http.ResponseWriter, r *http.Request) { fmt.Println("123") SetupResponse(&w, r) if (*r).Method == "OPTIONS" { w.Header().Set("Access-Control-Max-Age", "86400") w.WriteHeader(http.StatusOK) return } w.Header().Set("Content-Type", "application/json") claims := &model.Claims{} type refresh struct { Acces...
Refresh
identifier_name
login.go
package handler import ( "encoding/json" "errors" "fmt" "log" "math/rand" "net" "net/http" database "projectname_projectmanager/driver" model "projectname_projectmanager/model" "strings" "time" "github.com/dgrijalva/jwt-go" _ "github.com/go-sql-driver/mysql" //blank import "gopkg.in/ldap.v3" ) var jwtK...
defer conn.Close() // perform initial read-only bind if err = conn.Bind(c.ROUser.Name, c.ROUser.Password); err != nil { WriteLogFile(err) return err } // find the user attempting to login results, err := conn.Search(ldap.NewSearchRequest( c.BaseDN, ldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0...
{ WriteLogFile(err) return err }
conditional_block
login.go
package handler import ( "encoding/json" "errors" "fmt" "log" "math/rand" "net" "net/http" database "projectname_projectmanager/driver" model "projectname_projectmanager/model" "strings" "time" "github.com/dgrijalva/jwt-go" _ "github.com/go-sql-driver/mysql" //blank import "gopkg.in/ldap.v3" ) var jwtK...
// SignIn : for user sign-in through LDAP func (c *Commander) SignIn(w http.ResponseWriter, r *http.Request) { var client model.Client var err error var error model.Error db := database.DbConn() defer db.Close() // create a new client if client, err = New(model.Config{ BaseDN: "DC=sls,DC=ads,DC=valuelabs,DC=...
{ var error model.Error db := database.DbConn() defer db.Close() if Role == "project manager" { selDB, err := db.Query("SELECT project_manager_email from project_manager WHERE project_manager_email =? ", username) defer selDB.Close() if err != nil { WriteLogFile(err) w.WriteHeader(http.StatusBadRequest)...
identifier_body
login.go
package handler import ( "encoding/json" "errors" "fmt" "log" "math/rand" "net" "net/http" database "projectname_projectmanager/driver" model "projectname_projectmanager/model" "strings" "time" "github.com/dgrijalva/jwt-go" _ "github.com/go-sql-driver/mysql" //blank import "gopkg.in/ldap.v3" ) var jwtK...
length := 20 var bRefresh strings.Builder for i := 0; i < length; i++ { bRefresh.WriteRune(chars[rand.Intn(len(chars))]) } var jwtTokenRefresh model.JwtToken jwtTokenRefresh.AccessToken = tokenStringRefresh jwtTokenRefresh.TokenType = "bearer" jwtTokenRefresh.Expiry = "3600" jwtTokenRefresh.RefreshToken = bR...
"abcdefghijklmnopqrstuvwxyz%*" + "0123456789")
random_line_split
shotsAlarm_asynchronous_with_hue.py
import Private import Tkinter as tkinter import ttk import sys import time import threading import Queue from gpiozero import Button, DigitalOutputDevice import spotipy import spotipy.util as util from datetime import datetime, timedelta from phue import Bridge from RPLCD.gpio import CharLCD from RPi import GPIO # glo...
# runs once an hour to make sure # count doesn't get too big def workerThread2(self): while self.running: time.sleep(3600) if self.count >= 3600: # make sure we have access to shared resource with self.lock: self.count = 0...
with self.lock: # make sure shots is activated if self.shotsFired: # make sure we haven't been counting longer than the song length if (self.count <= self.songLength): # update queue with count if countdown stage or go stage...
conditional_block
shotsAlarm_asynchronous_with_hue.py
import Private import Tkinter as tkinter import ttk import sys import time import threading import Queue from gpiozero import Button, DigitalOutputDevice import spotipy import spotipy.util as util from datetime import datetime, timedelta from phue import Bridge from RPLCD.gpio import CharLCD from RPi import GPIO # glo...
def updateDoor(self, command): self.b.set_group(5, command) def updateHW(self, command): self.b.set_group(6, command) def updateKitchen(self, command): self.b.set_group(2, command) def flashLights(self, color, delay, seconds): command = {'transitiontime': 1, 'xy': co...
self.b.set_group(4, command)
identifier_body
shotsAlarm_asynchronous_with_hue.py
import Private import Tkinter as tkinter import ttk import sys import time import threading import Queue from gpiozero import Button, DigitalOutputDevice import spotipy import spotipy.util as util from datetime import datetime, timedelta from phue import Bridge from RPLCD.gpio import CharLCD from RPi import GPIO # glo...
# if we haven't already canceled if self.shotsFired: print("alarm canceled") # keep track of alarm activation self.shotsFired = 0 self.flashed = 1 self.flashed2 = 1 # make sure we have access to shared resource with s...
with self.lock: self.count = 0 def alarmCancel(self):
random_line_split
shotsAlarm_asynchronous_with_hue.py
import Private import Tkinter as tkinter import ttk import sys import time import threading import Queue from gpiozero import Button, DigitalOutputDevice import spotipy import spotipy.util as util from datetime import datetime, timedelta from phue import Bridge from RPLCD.gpio import CharLCD from RPi import GPIO # glo...
(self): if not self.guiVisible: self.master.update() self.master.deiconify() if fullscreen: self.master.geometry("{}x{}+0+0".format(self.w, self.h)) # keep track of gui visibility self.guiVisible = 1 ########################## ...
GUIshow
identifier_name
spark-recordcount.py
#!/usr/bin/env python # # Copyright (C) 2015 The Regents of the University of California. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # ...
peers_data[sig][1] += 1 # the time in the output row is truncated down to a multiple of # RESULT_GRANULARITY so that slices can be merged correctly start_time = \ int(math.floor(start_time/RESULT_GRANULARITY) * RESULT_GRANULARITY) # for each peer that we processed data for, cr...
peers_data[sig][2] += 1 # increment the coll_record_cnt first = False
conditional_block
spark-recordcount.py
#!/usr/bin/env python # # Copyright (C) 2015 The Regents of the University of California. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # ...
(): parser = argparse.ArgumentParser(description=""" Script that uses PyBGPStream and Spark to analyze historical BGP data and extract high-level statistics. """) parser.add_argument('-s', '--start-time', nargs='?', required=True, type=int, help='Star...
main
identifier_name
spark-recordcount.py
#!/usr/bin/env python # # Copyright (C) 2015 The Regents of the University of California. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # ...
def analyze(start_time, end_time, data_type, outdir, collector=None, num_cores=None, memory=None): # round start time down to nearest day start_time = \ int(math.floor(start_time/RESULT_GRANULARITY) * RESULT_GRANULARITY) # round end time up to nearest day rounded = int(math.floor...
return (row[0][0]), row[1]
identifier_body
spark-recordcount.py
#!/usr/bin/env python # # Copyright (C) 2015 The Regents of the University of California. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # ...
w.writerow([ts, "ALL-COLLECTORS", "ALL-PEERS", elems, records]) reduced_time_collector_peer.unpersist() reduced_time_collector.unpersist() sc.stop() return def main(): parser = argparse.ArgumentParser(description=""" Script that uses PyBGPStream and Spark to analyze historical BGP...
for key in final_time: (ts) = key (elems, records) = final_time[key]
random_line_split
battle_traits.ts
import { tagAs } from 'factions/metatagger' import { CHARGE_PHASE, COMBAT_PHASE, DURING_GAME, END_OF_MOVEMENT_PHASE, END_OF_SETUP, HERO_PHASE, MOVEMENT_PHASE, SAVES_PHASE, SHOOTING_PHASE, START_OF_HERO_PHASE, TURN_FIVE_HERO_PHASE, TURN_ONE_HERO_PHASE, TURN_THREE_HERO_PHASE, } from 'types/phase...
desc: `At the start of your hero phase, you can say that your army intends to complete one of the following agendas before the start of your next hero phase. You must tell your opponent which agenda you intend to complete, and you cannot complete the same agenda more than once per battle. If a friendly...
name: `Agendas of Anarchy`,
random_line_split
Logistic regression.py
# coding: utf-8 # # Logistic Regression # # Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, ...
In[23]: plot_classes() # Build the model, and keep it on `logreg`. # In[24]: X_train, X_test, y_train, y_test = train_test_split(data.balance, data.default, test_size=0.3, ...
show(); #
conditional_block
Logistic regression.py
# coding: utf-8 # # Logistic Regression # # Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, ...
(data): fig = plt.figure(figsize=(9, 4)) gs = GridSpec(1, 3, width_ratios=[3, 1, 1]) ax0 = plt.subplot(gs[0]) ax0 = plt.scatter(data.balance[data.default==0], data.income[data.default==0], label='default=No', marker='.', c='red', alpha...
plot_descriptive
identifier_name
Logistic regression.py
# coding: utf-8 # # Logistic Regression # # Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, ...
def print_metainformation(meta): print('Available types:', meta['description']['dtype'].unique()) print('{} Features'.format(meta['description'].shape[0])) print('{} categorical features'.format(len(meta['categorical_features']))) print('{} numerical features'.format(len(meta['numerical_features']))) ...
meta = dict() descr = pd.DataFrame({'dtype': df.dtypes, 'NAs': df.isna().sum()}) categorical_features = descr.loc[descr['dtype'] == 'object'].index.values.tolist() numerical_features = descr.loc[descr['dtype'] != 'object'].index.values.tolist() numerical_features_na = descr.loc[(descr['dtype'] != 'objec...
identifier_body
Logistic regression.py
# coding: utf-8 # # Logistic Regression # # Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, f...
# And now represent where is the model setting the separation function between the two classes. # In[25]: def plot_sigmoid(): plt.figure(figsize=(10,4)) plt.subplot(1, 2, 1) plot_classes(show=False) plt.plot(sigm.x.values, sigm.y.values, color='black', linewidth=3); plt.title('Sigmoid') pl...
print(confusion_matrix(y_test, y_pred)) print(classification_report(y_test, y_pred))
random_line_split
common.pb.go
// Code generated by protoc-gen-go. DO NOT EDIT. // source: common/common.proto package common import ( fmt "fmt" proto "github.com/golang/protobuf/proto" math "math" ) // Reference imports to suppress errors if they are not otherwise used. var _ = proto.Marshal var _ = fmt.Errorf var _ = math.Inf // This is a c...
return "" } func (m *KeyEnvelope) GetAesKey() []byte { if m != nil { return m.AesKey } return nil } type Location struct { // Latitude. Latitude float64 `protobuf:"fixed64,1,opt,name=latitude,proto3" json:"latitude,omitempty"` // Longitude. Longitude float64 `protobuf:"fixed64,2,opt,name=longitude,proto3" ...
{ return m.KekLabel }
conditional_block
common.pb.go
// Code generated by protoc-gen-go. DO NOT EDIT. // source: common/common.proto package common import ( fmt "fmt" proto "github.com/golang/protobuf/proto" math "math" ) // Reference imports to suppress errors if they are not otherwise used. var _ = proto.Marshal var _ = fmt.Errorf var _ = math.Inf // This is a c...
type Region int32 const ( // EU868 Region_EU868 Region = 0 // US915 Region_US915 Region = 2 // CN779 Region_CN779 Region = 3 // EU433 Region_EU433 Region = 4 // AU915 Region_AU915 Region = 5 // CN470 Region_CN470 Region = 6 // AS923 Region_AS923 Region = 7 // KR920 Region_KR920 Region = 8 // IN865 ...
{ return fileDescriptor_8f954d82c0b891f6, []int{0} }
identifier_body
common.pb.go
// Code generated by protoc-gen-go. DO NOT EDIT. // source: common/common.proto package common import ( fmt "fmt" proto "github.com/golang/protobuf/proto" math "math" ) // Reference imports to suppress errors if they are not otherwise used. var _ = proto.Marshal var _ = fmt.Errorf var _ = math.Inf // This is a c...
() { xxx_messageInfo_Location.DiscardUnknown(m) } var xxx_messageInfo_Location proto.InternalMessageInfo func (m *Location) GetLatitude() float64 { if m != nil { return m.Latitude } return 0 } func (m *Location) GetLongitude() float64 { if m != nil { return m.Longitude } return 0 } func (m *Location) Get...
XXX_DiscardUnknown
identifier_name
common.pb.go
// Code generated by protoc-gen-go. DO NOT EDIT. // source: common/common.proto package common import ( fmt "fmt" proto "github.com/golang/protobuf/proto" math "math" ) // Reference imports to suppress errors if they are not otherwise used. var _ = proto.Marshal var _ = fmt.Errorf var _ = math.Inf // This is a c...
XXX_sizecache int32 `json:"-"` } func (m *KeyEnvelope) Reset() { *m = KeyEnvelope{} } func (m *KeyEnvelope) String() string { return proto.CompactTextString(m) } func (*KeyEnvelope) ProtoMessage() {} func (*KeyEnvelope) Descriptor() ([]byte, []int) { return fileDescriptor_8f954d82c0b891f6, []int...
// 'Key Transport Security' section. AesKey []byte `protobuf:"bytes,2,opt,name=aes_key,json=aesKey,proto3" json:"aes_key,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"`
random_line_split
lib.rs
/* * This is NearDice contract: * * * */ // To conserve gas, efficient serialization is achieved through Borsh (http://borsh.io/) use near_sdk::borsh::{self, BorshDeserialize, BorshSerialize}; use near_sdk::wee_alloc; use near_sdk::json_types::{U64, U128}; use near_sdk::serde::{Deserialize, Serialize}; use near...
(&mut self, target: u8) -> HumanReadableDiceResult { // check called by real user NOT from other contracts let account_id = env::predecessor_account_id(); assert_eq!( account_id.clone(), env::signer_account_id(), "This method must be called directly from user...
roll_dice
identifier_name
lib.rs
/* * This is NearDice contract: * * * */ // To conserve gas, efficient serialization is achieved through Borsh (http://borsh.io/) use near_sdk::borsh::{self, BorshDeserialize, BorshSerialize}; use near_sdk::wee_alloc; use near_sdk::json_types::{U64, U128}; use near_sdk::serde::{Deserialize, Serialize}; use near...
else { self.accounts.insert(&account_id, &leftover); } // always update jack_pod before rolling dice self.jack_pod += self.rolling_fee; // rolling dice here let random_u8: u8 = env::random_seed().iter().fold(0_u8, |acc, x| acc.wrapping_add(*x)); let dice_poi...
{ self.accounts.remove(&account_id); }
conditional_block
lib.rs
/* * This is NearDice contract: * * * */ // To conserve gas, efficient serialization is achieved through Borsh (http://borsh.io/) use near_sdk::borsh::{self, BorshDeserialize, BorshSerialize}; use near_sdk::wee_alloc; use near_sdk::json_types::{U64, U128}; use near_sdk::serde::{Deserialize, Serialize}; use near...
//***********************/ // view functions //***********************/ fn get_hr_info(&self, index: u64) -> HumanReadableWinnerInfo { let info = self.win_history.get(index).expect("Error: no this item in winner history!"); HumanReadableWinnerInfo { user: info.user.clone()...
{ let account_id = env::signer_account_id(); // Use env::log to record logs permanently to the blockchain! env::log(format!("Saving greeting '{}' for account '{}'", message, account_id,).as_bytes()); }
identifier_body
lib.rs
/* * This is NearDice contract: * * * */ // To conserve gas, efficient serialization is achieved through Borsh (http://borsh.io/) use near_sdk::borsh::{self, BorshDeserialize, BorshSerialize}; use near_sdk::wee_alloc; use near_sdk::json_types::{U64, U128}; use near_sdk::serde::{Deserialize, Serialize}; use near...
// always update jack_pod before rolling dice self.jack_pod += self.rolling_fee; // rolling dice here let random_u8: u8 = env::random_seed().iter().fold(0_u8, |acc, x| acc.wrapping_add(*x)); let dice_point = self.dice_number as u16 * 6_u16 * random_u8 as u16 / 0x100_u16 + 1; ...
if leftover == 0 { self.accounts.remove(&account_id); } else { self.accounts.insert(&account_id, &leftover); }
random_line_split
lambda_function.py
import requests from bs4 import BeautifulSoup import pandas as pd import numpy as np import json import datetime import time import seaborn as sns import matplotlib.pyplot as plt from io import StringIO, BytesIO import boto3 # Extracting Job Title, Company Details, Location, Salary and Job Description for Analysis de...
(soup, jobs, rows): for div in rows: for a in div.find_all(name='a', attrs={'data-tn-element': 'jobTitle'}): jobs.append(a['title']) return (jobs) def extract_company(soup, companies, rows): for div in rows: company = div.find_all(name='span', attrs={'class': 'company'}) ...
extract_job_title
identifier_name
lambda_function.py
import requests from bs4 import BeautifulSoup import pandas as pd import numpy as np import json import datetime import time import seaborn as sns import matplotlib.pyplot as plt from io import StringIO, BytesIO import boto3 # Extracting Job Title, Company Details, Location, Salary and Job Description for Analysis de...
def extract_company(soup, companies, rows): for div in rows: company = div.find_all(name='span', attrs={'class': 'company'}) if len(company) > 0: for b in company: companies.append(b.text.strip()) else: sec_try = div.find_all(name='span', attrs={'cl...
for div in rows: for a in div.find_all(name='a', attrs={'data-tn-element': 'jobTitle'}): jobs.append(a['title']) return (jobs)
identifier_body
lambda_function.py
import requests from bs4 import BeautifulSoup import pandas as pd import numpy as np import json import datetime import time import seaborn as sns import matplotlib.pyplot as plt from io import StringIO, BytesIO import boto3 # Extracting Job Title, Company Details, Location, Salary and Job Description for Analysis de...
job_data['job_title'] = job_data['job_title'].str.lower() job_data.loc[job_data['job_title'].str.contains( 'data scientist|data science|data science & insights|data science and insights'), 'Job_Title_Category'] = 'Data Scientist' job_data.loc[job_data['job_title'].str.contains( 'analyst|ana...
def extract_specialization(job_data): # Categorizing job titles into specialization type. job_data['Job_Title_Category'] = np.nan
random_line_split
lambda_function.py
import requests from bs4 import BeautifulSoup import pandas as pd import numpy as np import json import datetime import time import seaborn as sns import matplotlib.pyplot as plt from io import StringIO, BytesIO import boto3 # Extracting Job Title, Company Details, Location, Salary and Job Description for Analysis de...
return (jobs) def extract_company(soup, companies, rows): for div in rows: company = div.find_all(name='span', attrs={'class': 'company'}) if len(company) > 0: for b in company: companies.append(b.text.strip()) else: sec_try = div.find_all(name=...
for a in div.find_all(name='a', attrs={'data-tn-element': 'jobTitle'}): jobs.append(a['title'])
conditional_block
store.go
package headerfs import ( "bytes" "encoding/hex" "sync" "github.com/pkt-cash/pktd/btcutil/er" "github.com/pkt-cash/pktd/pktlog/log" "github.com/pkt-cash/pktd/blockchain" "github.com/pkt-cash/pktd/chaincfg/chainhash" "github.com/pkt-cash/pktd/pktwallet/waddrmgr" "github.com/pkt-cash/pktd/pktwallet/walletdb" ...
} // If our on disk state and the provided header assertion don't match, // then we'll purge this state so we can sync it anew once we fully // start up. if failed { if err := f.deleteBuckets(tx); err != nil { return true, err } else { return true, f.createBuckets(tx) } } return false, nil } // F...
{ hdrhash := hdr.Header.blockHeader.BlockHash() he := hdr.Header if bh, err := nhs.FetchBlockHeaderByHeight1(tx, hdr.Height); err != nil { if ErrHashNotFound.Is(err) { log.Warnf("We have filter header number %v but no block header, "+ "resetting filter headers", hdr.Height) failed = true ...
conditional_block
store.go
package headerfs import ( "bytes" "encoding/hex" "sync" "github.com/pkt-cash/pktd/btcutil/er" "github.com/pkt-cash/pktd/pktlog/log" "github.com/pkt-cash/pktd/blockchain" "github.com/pkt-cash/pktd/chaincfg/chainhash" "github.com/pkt-cash/pktd/pktwallet/waddrmgr" "github.com/pkt-cash/pktd/pktwallet/walletdb" ...
// ChainTip returns the best known block header and height for the // blockHeaderStore. // // NOTE: Part of the BlockHeaderStore interface. func (h *NeutrinoDBStore) BlockChainTip() (*wire.BlockHeader, uint32, er.R) { var bh *wire.BlockHeader var height uint32 return bh, height, walletdb.View(h.Db, func(tx walletdb...
///// /////
random_line_split
store.go
package headerfs import ( "bytes" "encoding/hex" "sync" "github.com/pkt-cash/pktd/btcutil/er" "github.com/pkt-cash/pktd/pktlog/log" "github.com/pkt-cash/pktd/blockchain" "github.com/pkt-cash/pktd/chaincfg/chainhash" "github.com/pkt-cash/pktd/pktwallet/waddrmgr" "github.com/pkt-cash/pktd/pktwallet/walletdb" ...
( tx walletdb.ReadWriteTx, headerStateAssertion *FilterHeader, nhs *NeutrinoDBStore, ) (bool, er.R) { failed := false if headerStateAssertion != nil { // First, we'll attempt to locate the header at this height. If no such // header is found, then we'll exit early. assertedHeader, err := f.FetchFilterHeade...
maybeResetHeaderState
identifier_name
store.go
package headerfs import ( "bytes" "encoding/hex" "sync" "github.com/pkt-cash/pktd/btcutil/er" "github.com/pkt-cash/pktd/pktlog/log" "github.com/pkt-cash/pktd/blockchain" "github.com/pkt-cash/pktd/chaincfg/chainhash" "github.com/pkt-cash/pktd/pktwallet/waddrmgr" "github.com/pkt-cash/pktd/pktwallet/walletdb" ...
// FetchHeader returns the filter header that corresponds to the passed block // height. func (f *NeutrinoDBStore) FetchFilterHeader(hash *chainhash.Hash) (*chainhash.Hash, er.R) { var out *chainhash.Hash return out, walletdb.View(f.Db, func(tx walletdb.ReadTx) er.R { var err er.R out, err = f.FetchFilterHeader...
{ failed := false if headerStateAssertion != nil { // First, we'll attempt to locate the header at this height. If no such // header is found, then we'll exit early. assertedHeader, err := f.FetchFilterHeaderByHeight(headerStateAssertion.Height) if assertedHeader == nil { if !ErrHeaderNotFound.Is(err) { ...
identifier_body
algo_2_2.py
""" Created on Sat Oct 14 09:33:14 2017 @author: Ola """ """ This algorithm is an original that considers standard deviation in selecting households. The SD of weekly consumption is calculated, and households who consume above a threshold (mean + 2*SD) during a hour of shedding are omitted from the shedding! Thus, th...
(df): global NRML result = {} for g1,n1 in df.groupby([df.index.month]) : result[g1] = {} mxs = {} for g2,n2 in n1.groupby([n1.index.weekday]) : result[g1][g2] = {} for g3,n3 in n2.groupby([n2.index.hour]) : result[g1][g2][g3] = {} ...
group_A
identifier_name
algo_2_2.py
""" Created on Sat Oct 14 09:33:14 2017 @author: Ola """ """ This algorithm is an original that considers standard deviation in selecting households. The SD of weekly consumption is calculated, and households who consume above a threshold (mean + 2*SD) during a hour of shedding are omitted from the shedding! Thus, th...
# # p1 = plt.bar(x, yx, LOAD_SEG/2.0, color='b',label = 'Max') # p2 = plt.bar(x, ym, LOAD_SEG/2.0, color='r',bottom=yx) # plt.xlabel('Every 100 shedding events') # plt.ylabel('Number of households shed') # plt.xticks(x, rotation='horizontal') # plt.legend((p1[0], p2[0]),('Number of sheds of ...
# plt.ylim([0, max(y)* 1.3]) # plt.show()
random_line_split
algo_2_2.py
""" Created on Sat Oct 14 09:33:14 2017 @author: Ola """ """ This algorithm is an original that considers standard deviation in selecting households. The SD of weekly consumption is calculated, and households who consume above a threshold (mean + 2*SD) during a hour of shedding are omitted from the shedding! Thus, th...
def load_set(): ''' Load the data ''' df = pd.read_hdf(FILE_PATH) calc_normalized() ''' Calculate the hourly average ''' date_hour_groups = df.groupby(['date','hour']) total_cons = [date_hour_groups.get_group((a,b))['value'].sum() for a,b in date...
global take_always take_always = None if NO_LISTS: houses = [[row['house_id'],row['value'],datetime.strptime(row['date']+'-'+str(row['hour']),DATE_FORMAT)] for index,row in date_hour_group.iterrows()] else : #Iterate the rows if len(exclude_a) == len(date_hour_group.index) : ...
identifier_body
algo_2_2.py
""" Created on Sat Oct 14 09:33:14 2017 @author: Ola """ """ This algorithm is an original that considers standard deviation in selecting households. The SD of weekly consumption is calculated, and households who consume above a threshold (mean + 2*SD) during a hour of shedding are omitted from the shedding! Thus, th...
groups.append(group) if sum([ h[1] for h in groups[-1] ]) < cut : groups = groups[:-1] return groups[:1],shedding def load_set(): ''' Load the data ''' df = pd.read_hdf(FILE_PATH) calc_normalized() ''' Calculate the hourly average ''' ...
i = 0 group.append(houses[i]+[shedding.get(houses[i][0],0)]) shedding[houses[i][0]] = shedding.get(houses[i][0],0) del houses[i]
conditional_block
api.go
// Copyright (c) 2017-2018 The qitmeer developers // Copyright (c) 2013-2016 The btcsuite developers // Copyright (c) 2017-2018 The Decred developers // Use of this source code is governed by an ISC // license that can be found in the LICENSE file. package node import ( "fmt" "github.com/Qitmeer/qitmeer/common/math"...
gsups[p.Network][1] = p.GraphStateDur } if p.GraphStateDur < gsups[p.Network][2] { gsups[p.Network][2] = p.GraphStateDur } } if p.Services&protocol.Relay > 0 { info.Relays++ } } for k, gu := range gsups { info, ok := infos[k] if !ok { continue } if info.Connecteds > 0 { avegs :...
gsups[p.Network][0] = gsups[p.Network][0] + p.GraphStateDur if p.GraphStateDur > gsups[p.Network][1] {
random_line_split
api.go
// Copyright (c) 2017-2018 The qitmeer developers // Copyright (c) 2013-2016 The btcsuite developers // Copyright (c) 2017-2018 The Decred developers // Use of this source code is governed by an ISC // license that can be found in the LICENSE file. package node import ( "fmt" "github.com/Qitmeer/qitmeer/common/math"...
return jrs, nil } func GetGraphStateResult(gs *blockdag.GraphState) *json.GetGraphStateResult { if gs != nil { mainTip := gs.GetMainChainTip() tips := []string{mainTip.String() + " main"} for k := range gs.GetTips().GetMap() { if k.IsEqual(mainTip) { continue } tips = append(tips, k.String()) }...
{ jrs = append(jrs, v.ToJson()) }
conditional_block
api.go
// Copyright (c) 2017-2018 The qitmeer developers // Copyright (c) 2013-2016 The btcsuite developers // Copyright (c) 2017-2018 The Decred developers // Use of this source code is governed by an ISC // license that can be found in the LICENSE file. package node import ( "fmt" "github.com/Qitmeer/qitmeer/common/math"...
{ err := common.ParseAndSetDebugLevels(level) if err != nil { return nil, err } return level, nil }
identifier_body
api.go
// Copyright (c) 2017-2018 The qitmeer developers // Copyright (c) 2013-2016 The btcsuite developers // Copyright (c) 2017-2018 The Decred developers // Use of this source code is governed by an ISC // license that can be found in the LICENSE file. package node import ( "fmt" "github.com/Qitmeer/qitmeer/common/math"...
() (interface{}, error) { bl := api.node.node.peerServer.GetBanlist() bls := []*json.GetBanlistResult{} for k, v := range bl { bls = append(bls, &json.GetBanlistResult{ID: k, Bads: v}) } return bls, nil } // RemoveBan func (api *PrivateBlockChainAPI) RemoveBan(id *string) (interface{}, error) { ho := "" if id...
Banlist
identifier_name
createHeatmap.py
#!/usr/bin/env python import math, os, commands, shutil, sys, re import matplotlib as matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.backends.backend_agg import numpy as np import argparse # Summarize the CrossCorr toplist # 02016-07-19 (JD 2457589) # g r ...
twoDarray = firstTwoDarray else: 'flipAxes not configured correctly' return twoDarray # Check plotting families if args.texMode: from matplotlib import rc rc('font', **{'family':'serif','serif':['Times']}) rc('text',usetex=True) summarizer(args)
def takeAxisAndRotate(threeDarray, zIndex, takeAxisIndex, flipAxes): firstTwoDarray = np.take(threeDarray, zIndex, takeAxisIndex) if (flipAxes == 1): twoDarray = firstTwoDarray.T elif (flipAxes == 0):
random_line_split
createHeatmap.py
#!/usr/bin/env python import math, os, commands, shutil, sys, re import matplotlib as matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.backends.backend_agg import numpy as np import argparse # Summarize the CrossCorr toplist # 02016-07-19 (JD 2457589) # g r ...
(args): headJobName = args.nameToplist verboseSummaryFile = 'verbose_summary-' + str(args.fCenter) +'.txt' if args.bypassSummary: print 'Bypassing summary file creation' os.system('cat ' + headJobName + ' > ' + verboseSummaryFile) # Defined by 'print_crossCorrBinaryline_to_str' in Cro...
summarizer
identifier_name
createHeatmap.py
#!/usr/bin/env python import math, os, commands, shutil, sys, re import matplotlib as matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.backends.backend_agg import numpy as np import argparse # Summarize the CrossCorr toplist # 02016-07-19 (JD 2457589) # g r ...
# Check plotting families if args.texMode: from matplotlib import rc rc('font', **{'family':'serif','serif':['Times']}) rc('text',usetex=True) summarizer(args)
firstTwoDarray = np.take(threeDarray, zIndex, takeAxisIndex) if (flipAxes == 1): twoDarray = firstTwoDarray.T elif (flipAxes == 0): twoDarray = firstTwoDarray else: 'flipAxes not configured correctly' return twoDarray
identifier_body
createHeatmap.py
#!/usr/bin/env python import math, os, commands, shutil, sys, re import matplotlib as matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.backends.backend_agg import numpy as np import argparse # Summarize the CrossCorr toplist # 02016-07-19 (JD 2457589) # g r ...
else: print 'Incompatible options' # In the toplist, columns change from the right (big-endian) # They are listed f, t, a, # Python reads in entries in the order f0t0a0, f0t0a1, f0t1a0,... FLen = len(np.unique(fArray)) TLen = len(np.unique(tpArray)) ...
xArray = fArray yArray = modArray zArray = tpArray zIndex = args.TIndex takeAxisIndex = 1 flipAxes = 0
conditional_block
entitymap.go
// This work is subject to the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication // license. Its contents can be found at: // http://creativecommons.org/publicdomain/zero/1.0/ package xmlx /* These routines offer conversions between xml entities and their respective unicode representations. eg: &#9827; -> ♣...
r err os.Error var num int entity = entity[2 : len(entity)-1] if num, err = strconv.Atoi(entity); err != nil { return "&amp;#" + entity + ";" } var arr [4]byte if size := utf8.EncodeRune(arr[:], num); size == 0 { return "&amp;#" + entity + ";" } return string(arr[:]) } // Converts a single Go utf8-token...
eturn "&amp;" + entity[2:len(entity)-1] + ";" } va
conditional_block
entitymap.go
// This work is subject to the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication // license. Its contents can be found at: // http://creativecommons.org/publicdomain/zero/1.0/ package xmlx /* These routines offer conversions between xml entities and their respective unicode representations. eg: &#9827; -> ♣...
http://www.w3.org/TR/html4/sgml/entities.html Portions © International Organization for Standardization 1986 Permission to copy in any form is granted for use with conforming SGML systems and applications as defined in ISO 8879, provided this notice is included in all copies. */ func namedEntityToUtf8(name string)...
"pi"] = "\u03c0" em["nabla"] = "\u2207" em["isin"] = "\u2208" em["loz"] = "\u25ca" em["prop"] = "\u221d" em["para"] = "\u00b6" em["Aring"] = "\u00c5" em["euro"] = "\u20ac" em["sup3"] = "\u00b3" em["sup2"] = "\u00b2" em["sup1"] = "\u00b9" em["prod"] = "\u220f" em["gamma"] = "\u03b3" em["perp"] = "\u22a5" e...
identifier_body
entitymap.go
// This work is subject to the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication // license. Its contents can be found at: // http://creativecommons.org/publicdomain/zero/1.0/ package xmlx /* These routines offer conversions between xml entities and their respective unicode representations. eg: &#9827; -> ♣...
ty string) string { var ok bool if ok = reg_entnamed.MatchString(entity); ok { return namedEntityToUtf8(entity[1 : len(entity)-1]) } if ok = reg_entnumeric.MatchString(entity); !ok { return "&amp;" + entity[2:len(entity)-1] + ";" } var err os.Error var num int entity = entity[2 : len(entity)-1] if num, ...
yToUtf8(enti
identifier_name
entitymap.go
// This work is subject to the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication // license. Its contents can be found at: // http://creativecommons.org/publicdomain/zero/1.0/ package xmlx /* These routines offer conversions between xml entities and their respective unicode representations. eg: &#9827; -> ♣...
case "zwj": return "\u200d" case "mu": return "\u03bc" case "Ccedil": return "\u00c7" case "infin": return "\u221e" case "ouml": return "\u00f6" case "rfloor": return "\u230b" case "pound": return "\u00a3" case "szlig": return "\u00df" case "thorn": return "\u00fe" case "forall": return "\...
case "tilde": return "\u02dc" case "Uuml": return "\u00dc"
random_line_split
parser.rs
use nom::{bytes::complete as bytes, character::complete as character, combinator, IResult}; use super::{ finder::FileSearcher, github::{GitHubIssue, GitHubPatch}, }; use serde::Deserialize; use std::{collections::HashMap, fs::File, io::prelude::*, path::Path}; pub mod issue; pub mod langs; pub mod source; us...
let desc_lines = todo .desc_lines .iter() .map(|s| s.to_string()) .collect::<Vec<_>>(); issue.body.descs_and_srcs.push((desc_lines, loc)); } pub fn from_files_in_directory( dir: &str, excludes: &Vec<String>, ) -> Result<IssueMa...
random_line_split
parser.rs
use nom::{bytes::complete as bytes, character::complete as character, combinator, IResult}; use super::{ finder::FileSearcher, github::{GitHubIssue, GitHubPatch}, }; use serde::Deserialize; use std::{collections::HashMap, fs::File, io::prelude::*, path::Path}; pub mod issue; pub mod langs; pub mod source; us...
(&mut self, todo: &ParsedTodo, loc: FileTodoLocation) { let title = todo.title.to_string(); let issue = self .todos .entry(title.clone()) .or_insert(Issue::new((), title)); if let Some(assignee) = todo.assignee.map(|s| s.to_string()) { if !issue.h...
add_parsed_todo
identifier_name
parser.rs
use nom::{bytes::complete as bytes, character::complete as character, combinator, IResult}; use super::{ finder::FileSearcher, github::{GitHubIssue, GitHubPatch}, }; use serde::Deserialize; use std::{collections::HashMap, fs::File, io::prelude::*, path::Path}; pub mod issue; pub mod langs; pub mod source; us...
let languages = languages.expect("impossible!"); // Open the file and load the contents let mut file = File::open(path) .map_err(|e| format!("could not open file: {}\n{}", path.display(), e))?; let mut contents = String::new(); file.read_to_s...
{ // TODO: Deadletter the file name as unsupported println!("possible TODO found in unsupported file: {:#?}", path); continue; }
conditional_block
nvm_buffer.rs
use std::cmp; use std::io::{self, Read, Seek, SeekFrom, Write}; use std::ptr; use block::{AlignedBytes, BlockSize}; use nvm::NonVolatileMemory; use {ErrorKind, Result}; /// ジャーナル領域用のバッファ. /// /// 内部の`NonVolatileMemory`実装のアライメント制約(i.e., ストレージのブロック境界に揃っている)を満たしつつ、 /// ジャーナル領域への追記を効率化するのが目的. #[derive(Debug)] pub struct ...
tState, "self.position={}, write_len={}, self.len={}", self.position(), write_len, self.capacity() ); Ok(()) } } impl<N: NonVolatileMemory> NonVolatileMemory for JournalNvmBuffer<N> { fn sync(&mut self) -> Result<()> { track!(self.flush_wri...
), ErrorKind::Inconsisten
conditional_block
nvm_buffer.rs
use std::cmp; use std::io::{self, Read, Seek, SeekFrom, Write}; use std::ptr; use block::{AlignedBytes, BlockSize}; use nvm::NonVolatileMemory; use {ErrorKind, Result}; /// ジャーナル領域用のバッファ. /// /// 内部の`NonVolatileMemory`実装のアライメント制約(i.e., ストレージのブロック境界に揃っている)を満たしつつ、 /// ジャーナル領域への追記を効率化するのが目的. #[derive(Debug)] pub struct ...
))?; assert_eq!(&buffer.nvm().as_bytes()[0..6], b"foobar"); Ok(()) } #[test] fn write_seek_write_flush() -> TestResult { // "連続"の判定は、ブロック単位で行われる // (シークしてもブロックを跨がないと"連続していない"と判定されない) let mut buffer = new_buffer(); track_io!(buffer.write_all(b"foo"))?; ...
lush(
identifier_name
nvm_buffer.rs
use std::cmp; use std::io::{self, Read, Seek, SeekFrom, Write}; use std::ptr; use block::{AlignedBytes, BlockSize}; use nvm::NonVolatileMemory; use {ErrorKind, Result}; /// ジャーナル領域用のバッファ. /// /// 内部の`NonVolatileMemory`実装のアライメント制約(i.e., ストレージのブロック境界に揃っている)を満たしつつ、 /// ジャーナル領域への追記を効率化するのが目的. #[derive(Debug)] pub struct ...
// - 書き込みバッファのカバー範囲に重複する領域に対して、読み込み要求が発行された場合: // - 書き込みバッファの内容をフラッシュして、内部NVMに同期した後に、該当読み込み命令を処理 // - 書き込みバッファのカバー範囲に重複しない領域に対して、書き込み要求が発行された場合: // - 現状の書き込みバッファのデータ構造では、ギャップ(i.e., 連続しない複数部分領域)を表現することはできない // - そのため、一度古いバッファの内容をフラッシュした後に、該当書き込み要求を処理するためのバッファを作成する // // ジャーナル領域が発行した書き込み...
// - ジャーナル領域は定期的に本メソッドを呼び出す
random_line_split
nvm_buffer.rs
use std::cmp; use std::io::{self, Read, Seek, SeekFrom, Write}; use std::ptr; use block::{AlignedBytes, BlockSize}; use nvm::NonVolatileMemory; use {ErrorKind, Result}; /// ジャーナル領域用のバッファ. /// /// 内部の`NonVolatileMemory`実装のアライメント制約(i.e., ストレージのブロック境界に揃っている)を満たしつつ、 /// ジャーナル領域への追記を効率化するのが目的. #[derive(Debug)] pub struct ...
ite_buf.aligned_resize(end); (&mut self.write_buf[start..end]).copy_from_slice(buf); self.position += buf.len() as u64; self.maybe_dirty = true; Ok(buf.len()) } else { // 領域に重複がないので、一度バッファの中身を書き戻す track!(self.flush_write_buf())?; ...
et) as usize; let end = start + buf.len(); self.wr
identifier_body
bootstrap.py
# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. import collections import json import logging import multiprocessing import subprocess import sys import time import co...
'enable_auto_commit': False, # We don't actually commit but this is just for good measure } consumer = KafkaConsumer(**consumer_config) # This call populates topic metadata for all topics in the cluster. # Needed as missing topic metadata can cause the below call to retrieve # partition in...
random_line_split
bootstrap.py
# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. import collections import json import logging import multiprocessing import subprocess import sys import time import co...
if repositories_to_clone: logger.error('did not receive expected sync messages for %s' % repositories_to_clone) # Add errors to audit output for repo in repositories_to_clone: outputdata[repo].append('did not receive sync message') # Process clones...
logger.info('processing messages for partition %s' % partition) for message in messages: payload = message.value # Ignore heartbeat messages if payload['name'] == 'heartbeat-1': continue if payload['path'] in repositories_...
conditional_block
bootstrap.py
# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. import collections import json import logging import multiprocessing import subprocess import sys import time import co...
(): '''hgweb component of the vcsreplicator bootstrap procedure. Takes a vcsreplicator config path on the CLI and takes a JSON data structure on stdin''' import argparse # Parse CLI args parser = argparse.ArgumentParser() parser.add_argument('config', help='Path of config file to load') ...
hgweb
identifier_name
bootstrap.py
# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. import collections import json import logging import multiprocessing import subprocess import sys import time import co...
def hgssh(): '''hgssh component of the vcsreplicator bootstrap procedure.''' import argparse parser = argparse.ArgumentParser() parser.add_argument('config', help='Path to config file') parser.add_argument('hg', help='Path to hg executable for use in bootstrap process') parser.add_argument('...
'''Process events using the message handler in the order they arrived in the queue ''' for config, payload in events: message_handler(config, payload)
identifier_body
linked_list.rs
//! An intrusive linked list. //! //! ```ignore //! use intrusive::{define_list_node, linked_list::{List, ListLink}}; //! use std::sync::Arc; //! //! struct Thread { //! id: usize, //! link: ListLink<ThreadsNode>, //! } //! //! define_list_node!(ThreadsNode, Arc<Thread>, link); //! //! let mut threads = List::<...
link.prev.set(self.tail); link.next.set(None); self.tail = Some(link_ptr); Ok(()) } } /// Pops the element at the beginning of the list. `O(1)`. pub fn pop_front(&mut self) -> Option<L::Elem> { match self.head { Some(head) => uns...
{ self.head = Some(link_ptr); }
conditional_block
linked_list.rs
//! An intrusive linked list. //! //! ```ignore //! use intrusive::{define_list_node, linked_list::{List, ListLink}}; //! use std::sync::Arc; //! //! struct Thread { //! id: usize,
//! //! let mut threads = List::<ThreadsNode>::new(); //! let thread1 = Arc::new(Thread { id: 1, link: Default::default() }); //! threads.push_back(thread1); //! ``` //! use core::cell::Cell; use core::fmt::{self, Debug, Formatter}; use core::marker::PhantomData; use core::ops::ControlFlow; use core::ptr::NonNull; use ...
//! link: ListLink<ThreadsNode>, //! } //! //! define_list_node!(ThreadsNode, Arc<Thread>, link);
random_line_split
linked_list.rs
//! An intrusive linked list. //! //! ```ignore //! use intrusive::{define_list_node, linked_list::{List, ListLink}}; //! use std::sync::Arc; //! //! struct Thread { //! id: usize, //! link: ListLink<ThreadsNode>, //! } //! //! define_list_node!(ThreadsNode, Arc<Thread>, link); //! //! let mut threads = List::<...
(&self) -> Iter<'_, L> { Iter { current: self.head, _pd: &PhantomData, } } } impl<L: ListNode> Default for List<L> { fn default() -> Self { Self::new() } } pub struct Iter<'a, L: ListNode> { current: Option<NonNull<ListLink<L>>>, _pd: &'a PhantomData...
iter
identifier_name
view.rs
// Copyright (c) 2021 The vulkano developers // Licensed under the Apache License, Version 2.0 // <LICENSE-APACHE or // https://www.apache.org/licenses/LICENSE-2.0> or the MIT // license <LICENSE-MIT or https://opensource.org/licenses/MIT>, // at your option. All files in the project carrying such // notice may not be ...
(&self, _sampler: &Sampler) -> bool { true /* FIXME */ } } unsafe impl<I> ImageViewAbstract for ImageView<I> where I: ImageAccess, { #[inline] fn image(&self) -> &dyn ImageAccess { &self.image } #[inline] fn inner(&self) -> &UnsafeImageView { &self.inner } ...
can_be_sampled
identifier_name
view.rs
// Copyright (c) 2021 The vulkano developers // Licensed under the Apache License, Version 2.0 // <LICENSE-APACHE or // https://www.apache.org/licenses/LICENSE-2.0> or the MIT // license <LICENSE-MIT or https://opensource.org/licenses/MIT>, // at your option. All files in the project carrying such // notice may not be ...
/// Returns true if the view doesn't use components swizzling. /// /// Must be true when the view is used as a framebuffer attachment or TODO: I don't remember /// the other thing. fn identity_swizzle(&self) -> bool; /// Returns the [`ImageViewType`] of this image view. fn ty(&self) -> Ima...
fn array_layers(&self) -> Range<u32>; /// Returns the format of this view. This can be different from the parent's format. fn format(&self) -> Format;
random_line_split
view.rs
// Copyright (c) 2021 The vulkano developers // Licensed under the Apache License, Version 2.0 // <LICENSE-APACHE or // https://www.apache.org/licenses/LICENSE-2.0> or the MIT // license <LICENSE-MIT or https://opensource.org/licenses/MIT>, // at your option. All files in the project carrying such // notice may not be ...
#[inline] fn format(&self) -> Format { (**self).format() } #[inline] fn identity_swizzle(&self) -> bool { (**self).identity_swizzle() } #[inline] fn ty(&self) -> ImageViewType { (**self).ty() } #[inline] fn can_be_sampled(&self, sampler: &Sampler)...
{ (**self).array_layers() }
identifier_body
documentDeltaConnection.ts
/*! * Copyright (c) Microsoft Corporation and contributors. All rights reserved. * Licensed under the MIT License. */ import { assert } from "@fluidframework/common-utils"; import { IAnyDriverError, IDocumentDeltaConnection, IDocumentDeltaConnectionEvents, } from "@fluidframework/driver-definitions"; import { cr...
extends EventEmitterWithErrorHandling<IDocumentDeltaConnectionEvents> implements IDocumentDeltaConnection, IDisposable { static readonly eventsToForward = ["nack", "op", "signal", "pong"]; // WARNING: These are critical events that we can't miss, so registration for them has to be in place at all times! // Includ...
*/ export class DocumentDeltaConnection
random_line_split
documentDeltaConnection.ts
/*! * Copyright (c) Microsoft Corporation and contributors. All rights reserved. * Licensed under the MIT License. */ import { assert } from "@fluidframework/common-utils"; import { IAnyDriverError, IDocumentDeltaConnection, IDocumentDeltaConnectionEvents, } from "@fluidframework/driver-definitions"; import { cr...
() { assert( this._disposed || this.socket.connected, 0x244 /* "Socket is closed, but connection is not!" */, ); return this._disposed; } /** * Flag to indicate whether the DocumentDeltaConnection is expected to still be capable of sending messages. * After disconnection, we flip this to prevent any ...
disposed
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documentDeltaConnection.ts
/*! * Copyright (c) Microsoft Corporation and contributors. All rights reserved. * Licensed under the MIT License. */ import { assert } from "@fluidframework/common-utils"; import { IAnyDriverError, IDocumentDeltaConnection, IDocumentDeltaConnectionEvents, } from "@fluidframework/driver-definitions"; import { cr...
private removeTrackedListeners() { for (const [event, listener] of this.trackedListeners.entries()) { this.socket.off(event, listener); } // removeTrackedListeners removes all listeners, including connection listeners this.removeConnectionListeners(); this.removeEarlyOpHandler(); this.removeEarlySign...
{ this.socket.on(event, listener); assert(!this.trackedListeners.has(event), 0x20e /* "double tracked listener" */); this.trackedListeners.set(event, listener); }
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documentDeltaConnection.ts
/*! * Copyright (c) Microsoft Corporation and contributors. All rights reserved. * Licensed under the MIT License. */ import { assert } from "@fluidframework/common-utils"; import { IAnyDriverError, IDocumentDeltaConnection, IDocumentDeltaConnectionEvents, } from "@fluidframework/driver-definitions"; import { cr...
this.closeSocketCore(error); } protected closeSocketCore(error: IAnyDriverError) { this.disconnect(error); } /** * Disconnect from the websocket, and permanently disable this DocumentDeltaConnection and close the socket. * However the OdspDocumentDeltaConnection differ in dispose as in there we don't clo...
{ // This would be rare situation due to complexity around socket emitting events. return; }
conditional_block
acc.js
//初始化加载. var proc; proc=this.parent.proc; var serialNumber ={num1:"登记编号",num2:"归档号",num3:"房地产证号"}; var activName = "受理";//proc.activName; var proc_node = "受理";//proc.activName; //var activName = "初审"; var proc_id = 1000025915;//proc.procId; //var proc_id = 1000016427; //var proc_id = 1; var _init_form_data; //...
length==0){ // message= '请选择起始日期!'; // result.message=message; // result.result=false; // return result; // // } // if($.trim(zzrq).length==0){ // // message= '请选择终止日期!'; // result.message=message; // result.result=false; // return result; // // } // if($.trim(fwxz).length==0){ // m...
1.string5){ // alert($("#add_app_form").serialize()); var djjk = $("#djjk").val(); var qdfs = $('input[name="get_mode"]').val(); var synx = $("#synx").val(); var qsrq = $('input[name="start_date"]').val(); var zzrq = $('input[name="end_date"]').val(); var fwxz = $('input[name="house_attr"]').val(); var ...
identifier_body
acc.js
//初始化加载. var proc; proc=this.parent.proc; var serialNumber ={num1:"登记编号",num2:"归档号",num3:"房地产证号"}; var activName = "受理";//proc.activName; var proc_node = "受理";//proc.activName; //var activName = "初审"; var proc_id = 1000025915;//proc.procId; //var proc_id = 1000016427; //var proc_id = 1; var _init_form_data; //...
field : 'app_tel' }, { title : '法定代表人', field : 'legal_name' }, { title : '代理人', field : 'agent_name' }, { title : '代理人证件类型', field : 'agent_cer_type', formatter : function(value) { if(value == '001'){ return '身份证'; }; if(value == '002'){ ...
}, { title : '联系电话',
random_line_split
acc.js
//初始化加载. var proc; proc=this.parent.proc; var serialNumber ={num1:"登记编号",num2:"归档号",num3:"房地产证号"}; var activName = "受理";//proc.activName; var proc_node = "受理";//proc.activName; //var activName = "初审"; var proc_id = 1000025915;//proc.procId; //var proc_id = 1000016427; //var proc_id = 1; var _init_form_data; //...
名称: dowatch *功能说明: 查看登记单元详细信息 *参数说明: 无 *返 回 值: 无 *函数作者: xuzz *创建日期: 2014-03-27 *修改历史: ***********************************************************************************/ function dowatch(button){ var row = $('#table_house').datagrid('getSelected'); var obj={}; obj.WHERE_CODE=row.CODE; obj.REG_...
* *函数
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acc.js
//初始化加载. var proc; proc=this.parent.proc; var serialNumber ={num1:"登记编号",num2:"归档号",num3:"房地产证号"}; var activName = "受理";//proc.activName; var proc_node = "受理";//proc.activName; //var activName = "初审"; var proc_id = 1000025915;//proc.procId; //var proc_id = 1000016427; //var proc_id = 1; var _init_form_data; //...
if(data){ //alert(JSON.stringify(data)); $("#fdczh").val(data.cer_no); $("#djjk").val(data.reg_value); $("#qdfs").combodict('setValue',data.get_mode); $("#synx").val(data.lu_term); if(data.start_date){ var qsrq = data.start_date; $("#qsrq").datebox('setValue',qsr...
nership.action?time="+new Date()+"&proc_id="+proc_id, success:function(data){
conditional_block
PerceptronClassifier.py
#!/usr/bin/env python # encoding: utf-8 """ @version: V1.2 @author: muyeby @contact: bxf_hit@163.com @site: http://muyeby.github.io @software: PyCharm @file: assignment2.py @time: 16-7-7 下午8:44 """ from __future__ import print_function from copy import copy import time class PerceptronClassifier(object): # The per...
# print '初始预测:', Z, self._score(X, Z), 'Y的分数', self._score(X, Y) # print self.W[Y] tmp = self._score(X,Y) # Your code here. If the predict is incorrect, perform the perceptron update n_errors += 1 fo...
Z = self._predict(X) if Z != Y:
random_line_split
PerceptronClassifier.py
#!/usr/bin/env python # encoding: utf-8 """ @version: V1.2 @author: muyeby @contact: bxf_hit@163.com @site: http://muyeby.github.io @software: PyCharm @file: assignment2.py @time: 16-7-7 下午8:44 """ from __future__ import print_function from copy import copy import time class PerceptronClassifier(object): # The per...
self.best_W = copy(self.W) def extract_features(self, words, i, prev_tag=None, add=True): ''' Extract features from words and prev POS tag, if `add` is True, also insert the feature string to the feature_alphabet. Parameters ---------- words: list(str) ...
rors = 0 print('training iteration #%d' % it) for X, Y in instances: # Your code here, ake a prediction and give it to Z Z = self._predict(X) if Z != Y: # print '初始预测:', Z, self._score(X, Z), 'Y的分数', self._score(X, Y) ...
conditional_block
PerceptronClassifier.py
#!/usr/bin/env python # encoding: utf-8 """ @version: V1.2 @author: muyeby @contact: bxf_hit@163.com @site: http://muyeby.github.io @software: PyCharm @file: assignment2.py @time: 16-7-7 下午8:44 """ from __future__ import print_function from copy import copy import time class PerceptronClassifier(object): # The per...
): ''' Extract features from words and prev POS tag, if `add` is True, also insert the feature string to the feature_alphabet. Parameters ---------- words: list(str) The words list i: int The position prev_tag: str Prev...
g=None, add=True
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PerceptronClassifier.py
#!/usr/bin/env python # encoding: utf-8 """ @version: V1.2 @author: muyeby @contact: bxf_hit@163.com @site: http://muyeby.github.io @software: PyCharm @file: assignment2.py @time: 16-7-7 下午8:44 """ from __future__ import print_function from copy import copy import time class PerceptronClassifier(object): # The per...
ag=None): ''' Make prediction on list of words Parameters ---------- words: list(str) The words list i: int The position prev_tag: str Previous POS tag Return ------ y: int The predicted lab...
n features and label t Parameters ---------- features: list(int) The hashed features t: int The index of label Return ------ best_y: int The highest scored label's index ''' pred_scores = [self._score(features,...
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contSpec.py
# # 7/2023: allowing an optional weight column in the input data file # improving encapsulation of functions # Help to find continuous spectrum # March 2019 major update: # (i) added plateau modulus G0 (also in pyReSpect-time) calculation # (ii) following Hansen Bayesian interpretation of Tikhonov to extrac...
# par = readInput('inp.dat') H, lamC = getContSpec(par)
# Read input parameters from file "inp.dat"
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contSpec.py
# # 7/2023: allowing an optional weight column in the input data file # improving encapsulation of functions # Help to find continuous spectrum # March 2019 major update: # (i) added plateau modulus G0 (also in pyReSpect-time) calculation # (ii) following Hansen Bayesian interpretation of Tikhonov to extrac...
(H, kernMat): """ Function: kernelD(input) outputs the (n*ns) dimensional matrix DK(H)(t) It approximates dK_i/dH_j = K * e(H_j): Input: H = substituted CRS, kernMat = matrix for faster kernel evaluation Output: DK = Jacobian of H """ n = kern...
kernelD
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contSpec.py
# # 7/2023: allowing an optional weight column in the input data file # improving encapsulation of functions # Help to find continuous spectrum # March 2019 major update: # (i) added plateau modulus G0 (also in pyReSpect-time) calculation # (ii) following Hansen Bayesian interpretation of Tikhonov to extrac...
else: lamC, lam, rho, eta, logP, Hlam = lcurve(Gexp, wexp, Hgs, kernMat, par) else: lamC = par['lamC'] if par['verbose']: te = time.time() - tic print('({1:.1f} seconds)\n(*) Extracting CRS, ...\n\t... lamC = {0:0.3e}; '. format(lamC, te), end="") ...
lamC, lam, rho, eta, logP, Hlam = lcurve(Gexp, wexp, Hgs, kernMat, par, G0)
conditional_block
contSpec.py
# # 7/2023: allowing an optional weight column in the input data file # improving encapsulation of functions # Help to find continuous spectrum # March 2019 major update: # (i) added plateau modulus G0 (also in pyReSpect-time) calculation # (ii) following Hansen Bayesian interpretation of Tikhonov to extrac...
def kernelD(H, kernMat): """ Function: kernelD(input) outputs the (n*ns) dimensional matrix DK(H)(t) It approximates dK_i/dH_j = K * e(H_j): Input: H = substituted CRS, kernMat = matrix for faster kernel evaluation Output: DK = Jacobian of H """ ...
""" HELPER FUNCTION for optimization: Get Jacobian J returns a (n+nl * ns) matrix Jr; (ns + 1) if G0 is also supplied. Jr_(i, j) = dr_i/dH_j It uses kernelD, which approximates dK_i/dH_j, where K is the kernel """ n = kernMat.shape[0]; ns = kernMat.shape[1]; nl = ...
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cipher_functions.py
# Functions for running an encryption or decryption. # The values of the two jokers. JOKER1 = 27 JOKER2 = 28 # Write your functions here: def clean_message(message): '''(str) -> str REQ: message contains only 1 line of text. REQ: len(message) > 0 >>> clean_message('fighting,.,.,.,!!Easy5747291-...
def swap_cards(deck_of_crds, index): ''' (list of int, int) -> NoneType REQ: len(d_of_crds) >= 1 REQ: 0 < index < len(d_of_crds) >>> swap_cards([1,2,4,6], 2) [1,2,6,4] >>> swap_cards([1,2,4,5,6,7,8,9,10,12,21], 10) [21, 2, 4, 5, 6, 7, 8, 9, 10, 12, 1] Return...
decripted_vlue = chr(decripted_vlue + 65) return decripted_vlue
random_line_split
cipher_functions.py
# Functions for running an encryption or decryption. # The values of the two jokers. JOKER1 = 27 JOKER2 = 28 # Write your functions here: def clean_message(message): '''(str) -> str REQ: message contains only 1 line of text. REQ: len(message) > 0 >>> clean_message('fighting,.,.,.,!!Easy5747291-...
'''(file open for reading) -> list of int REQ: len(file) > 0 REQ: file must contain atleast 1 line, and must all be int Read and return the contents of the file as a list of int. ''' counter = 0 # create a empty list list_of_str = list() # Read through all the lines in the file ...
identifier_body
cipher_functions.py
# Functions for running an encryption or decryption. # The values of the two jokers. JOKER1 = 27 JOKER2 = 28 # Write your functions here: def clean_message(message): '''(str) -> str REQ: message contains only 1 line of text. REQ: len(message) > 0 >>> clean_message('fighting,.,.,.,!!Easy5747291-...
# Find the last index number and store it last_idx_vlue = (len(deck_of_crds) -1) while (index_joker_1 < last_idx_vlue): # Store the values before JOKER1 and place them at top of deck. values_bfr_JOKER1 = deck_of_crds.pop() deck_of_crds....
values_bfr_JOKER1 = deck_of_crds.pop(0) # Insert those values before JOKER1 deck_of_crds.insert(index_joker_1, values_bfr_JOKER1) counter +=1
conditional_block
cipher_functions.py
# Functions for running an encryption or decryption. # The values of the two jokers. JOKER1 = 27 JOKER2 = 28 # Write your functions here: def clean_message(message): '''(str) -> str REQ: message contains only 1 line of text. REQ: len(message) > 0 >>> clean_message('fighting,.,.,.,!!Easy5747291-...
(deck_of_crds): '''(list of int) -> int REQ: len(deck_of_crds) > 0 REQ: FIle contains JOKER1 and JOKER2 >>> get_next_value([1 ,4 ,7 ,10 ,13 ,16 ,19 ,22 ,25 ,28 ,3, 6, 9 , 12 ,15 ,18 ,21 ,24 ,27, 2, 5, 8 ,11 ,14 ,17 ,20 ,23, 26]} 11 Return the next potential keystream value. ''' ...
get_next_value
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types.rs
//! Перечисляемые типы данных, используемые при работе с библиотекой use std::u32; /// Возможные типы данных базы данных #[derive(Clone, Copy, Debug, PartialEq, Eq)] #[allow(dead_code)] #[allow(non_camel_case_types)] #[allow(deprecated)]// Позволяем deprecated внутри перечисления из-за https://github.com/rust-lang/ru...
/// Specifies the various modes of operation #[derive(Clone, Copy, Debug, PartialEq, Eq)] #[allow(dead_code)] pub enum AuthMode { /// In this mode, the user session context returned can only ever be set with the server context /// specified in `svchp`. For encoding, the server handle uses the setting in the environ...
} impl Default for AttachMode { fn default() -> Self { AttachMode::Default } }
random_line_split
types.rs
//! Перечисляемые типы данных, используемые при работе с библиотекой use std::u32; /// Возможные типы данных базы данных #[derive(Clone, Copy, Debug, PartialEq, Eq)] #[allow(dead_code)] #[allow(non_camel_case_types)] #[allow(deprecated)]// Позволяем deprecated внутри перечисления из-за https://github.com/rust-lang/ru...
/// For encoding, this value tells the server handle to use the setting in the environment handle. Default = 0, /// Use connection pooling. CPool = 1 << 9, } impl Default for AttachMode { fn default() -> Self { AttachMode::Default } } /// Specifies the various modes of operation #[derive(Clone, Copy, Debug, P...
de {
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traits.rs
//! Architecture trait use crate::analysis::{Disasm, Mappable, RequisiteSet, Result, Trace}; use crate::arch::ArchName; use crate::ast::Literal; use crate::cli::Nameable; use crate::maths::{Numerical, Popcount}; use crate::memory::{Memory, Offset, Pointer, PtrNum}; use crate::reg::{Bitwise, State}; use num::Bounded; u...
at: Self::PtrVal, bus: &Memory<Self>, state: State<Self>, trace: &mut Trace<Self>, ) -> Result<(State<Self>, Self::PtrVal), Self>; } /// Trait for type-erased structures that accept an architecture parameter and /// are intended to be accessed with the `with_architecture!` macro. pu...
&self,
random_line_split
api.py
# -*- coding: utf-8 -*- import os import datetime import arrow import functools import pandas as pd import numpy as np from jaqs.data import DataApi from urllib.parse import urlencode from carp.util import log try: import simplejson as json except ImportError: import json #__CARP_ROOT_PATH = '/tmp' # #LOCAL_C...
# TURNOVER = 'turnover' # VWAP = 'vwap' # OI = 'oi' # SETTLE = 'settle' # # def __init__(self, df): # BaseDataFrame.__init__(self, df) # self.set_index(BarDataFrame.TRADE_DATE) # def singleton(cls): instance = {} def geninstance(*args, **kwargs): if cls not in instance: ...
# CLOSE = 'close' # VOLUME = 'volume'
random_line_split
api.py
# -*- coding: utf-8 -*- import os import datetime import arrow import functools import pandas as pd import numpy as np from jaqs.data import DataApi from urllib.parse import urlencode from carp.util import log try: import simplejson as json except ImportError: import json #__CARP_ROOT_PATH = '/tmp' # #LOCAL_C...
fields=_fields) log.debug('request bar') return df # industry failed # def industry(self, **industrys): # df, msg = self.__api.query( # view="lb.secIndustry", # fields="", # #filter="industry1_name=金融&industry2_name=金融&industry_s...
y_login() df, msg = self.__api.bar(symbol=_symbol, trade_date=_trade_date, freq=_freq,
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api.py
# -*- coding: utf-8 -*- import os import datetime import arrow import functools import pandas as pd import numpy as np from jaqs.data import DataApi from urllib.parse import urlencode from carp.util import log try: import simplejson as json except ImportError: import json #__CARP_ROOT_PATH = '/tmp' # #LOCAL_C...
data_format='pandas') log.debug('request jz.instrumentInfo') return df # 停复牌resu_date 未设置 # def secsusp(self, _filter="", _fields=""): # self.__lazy_login() # df, msg = self.__api.query( # view="lb.secSusp", # fields=_fields, # ...
def instrumentinfo(self, _fields="", _filter="inst_type=1&status=1&market=SH,SZ"): self.__lazy_login() df, msg = self.__api.query(view="jz.instrumentInfo", fields=_fields, filter=_filter,
conditional_block
api.py
# -*- coding: utf-8 -*- import os import datetime import arrow import functools import pandas as pd import numpy as np from jaqs.data import DataApi from urllib.parse import urlencode from carp.util import log try: import simplejson as json except ImportError: import json #__CARP_ROOT_PATH = '/tmp' # #LOCAL_C...
log.debug('request bar') return df # industry failed # def industry(self, **industrys): # df, msg = self.__api.query( # view="lb.secIndustry", # fields="", # #filter="industry1_name=金融&industry2_name=金融&industry_src=中证", # #filter...
ields)
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ChineseCheckersBoard.py
#Class ChineseCheckers: This is the actual Distributed Chinese Checkers #Game Board. This class has alot of get and set functions to change the state #of the game board and manipulate it. # #**NOTE** # The design of this class is that such the AI will be the only one to #manipulate the 'state' of the board. Important ...
(self, squareNum, newState): self.squareList[squareNum].setState(newState) def setStateOffset(self, squareNum, newState): self.squareList[squareNum-1].setState(newState) def getAdjacent(self, squareNum): return self.squareList[squareNum].adjacent def getAdjacentOffset(self, squareNum...
setState
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ChineseCheckersBoard.py
#Class ChineseCheckers: This is the actual Distributed Chinese Checkers #Game Board. This class has alot of get and set functions to change the state #of the game board and manipulate it. # #**NOTE** # The design of this class is that such the AI will be the only one to #manipulate the 'state' of the board. Important ...
return self.adjacent def setState(self, newState): self.state = newState def getState(self): return self.state def getNum(self): return self.tileNum
self.adjacent.append(x) def getAdjacent(self):
random_line_split
ChineseCheckersBoard.py
#Class ChineseCheckers: This is the actual Distributed Chinese Checkers #Game Board. This class has alot of get and set functions to change the state #of the game board and manipulate it. # #**NOTE** # The design of this class is that such the AI will be the only one to #manipulate the 'state' of the board. Important ...
#---------------------------------------------------------------# #CheckersSquare: This is the base object for #a square inside of a chinese checkers game. By 'square', I mean #a movable location to which a peice can be placed or moved to. # #A Square has possible 7 states # A state of 0 ...
self.squareList[x].setState(squares[x])
conditional_block
ChineseCheckersBoard.py
#Class ChineseCheckers: This is the actual Distributed Chinese Checkers #Game Board. This class has alot of get and set functions to change the state #of the game board and manipulate it. # #**NOTE** # The design of this class is that such the AI will be the only one to #manipulate the 'state' of the board. Important ...
def getAdjacent(self, squareNum): return self.squareList[squareNum].adjacent def getAdjacentOffset(self, squareNum): return self.squareList[squareNum-1].adjacent def getStates(self): retList = [] for x in range(121): retList.append(self.squareList[x].getState()) ...
self.squareList[squareNum-1].setState(newState)
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