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kmp.py
.sum(L,axis=0)))/data.shape[1]) # Average Log likelihood if iter>=self.em_num_min_steps: if LL[iter]-LL[iter-1]<self.em_max_diffLL or iter==self.em_num_max_steps-1: print('EM converged after ',str(iter),' iterations.') return print('Max no. of ...
####################################################################################################################### class KMP: #Assumptions: Input is only time; All dofs of output are continuous TODO: Generalize def __init__(self, input_dofs, robot_dofs, demo_dt, ndemos, data_address): self.input_dof...
L = np.zeros((self.num_states,data.shape[1])) for i in range(self.num_states): L[i,:] = self.priors[i]*gaussPDF(data,self.mu[:,i],self.sigma[i,:,:]) L_axis0_sum = np.sum(L,axis=0) gamma = np.divide(L, np.repeat(L_axis0_sum.reshape(1,L_axis0_sum.shape[0]), self.num_states, axis=0)) ...
identifier_body
kmp.py
_dist = float('Inf') for i in range(math.ceil(via_pt_ind*phase_size), math.floor((via_pt_ind+1)*phase_size)): dist = distBWPts(self.ref_traj[i].mu[0:2],via_pt) # print("dist: ", dist) if dist<min_dist: min_dist = dist # ...
plt.title('KMP generalization over new via points')
random_line_split
kmp.py
.sum(L,axis=0)))/data.shape[1]) # Average Log likelihood if iter>=self.em_num_min_steps: if LL[iter]-LL[iter-1]<self.em_max_diffLL or iter==self.em_num_max_steps-1: print('EM converged after ',str(iter),' iterations.') return print('Max no. of ...
: #Assumptions: Input is only time; All dofs of output are continuous TODO: Generalize def __init__(self, input_dofs, robot_dofs, demo_dt, ndemos, data_address): self.input_dofs = input_dofs self.robot_dofs = robot_dofs self.ndemos = ndemos self.demo_dt = demo_dt self.norm_d...
KMP
identifier_name
main_model.py
.append(transforms.ToTensor()) # if args.frozen: # transforms_list.append(lambda x: x.repeat(3, 1, 1)) # transforms_list.append(transforms.Normalize(mean=[0.485, 0.456, 0.406], # std=[0.229, 0.224, 0.225])) # transform = transforms.Compose(transforms_list) transform = transforms.ToTe...
prob = self.product/self.sum_ prob[prob < 0] = 0 idx = choice(self.num_levels, p = prob) self.product[idx] = self.product[idx] - self.weight_vector[idx] self.sum_ = self.sum_ - self.weight_vector[idx] idx2 = choice(len(self.samples[idx])) ret2 = self.samples[idx]...
raise StopIteration
conditional_block
main_model.py
.append(transforms.ToTensor()) # if args.frozen: # transforms_list.append(lambda x: x.repeat(3, 1, 1)) # transforms_list.append(transforms.Normalize(mean=[0.485, 0.456, 0.406], # std=[0.229, 0.224, 0.225])) # transform = transforms.Compose(transforms_list) transform = transforms.ToTe...
def __len__(self): return len(os.listdir(self.array_dir))*self.num_sketch_levels def __getitem__(self, sampler): idx = next(sampler) sketch_fp = os.path.join(self.sketch_dir, idx[0], idx[1]) fname = os.path.splitext(idx[1])[0] array_fp = os.path.join(self.array_dir, fn...
self.sketch_dir = sketch_dir self.array_dir = array_dir self.num_sketch_levels = len(os.listdir(sketch_dir))
identifier_body
main_model.py
.append(transforms.ToTensor()) # if args.frozen: # transforms_list.append(lambda x: x.repeat(3, 1, 1)) # transforms_list.append(transforms.Normalize(mean=[0.485, 0.456, 0.406], # std=[0.229, 0.224, 0.225])) # transform = transforms.Compose(transforms_list) transform = transforms.ToTe...
(model, dataloader, j = 0): """ test model, output different loss for each category """ model.float() model.to(device) model.eval() criterion = nn.MSELoss() val_loss = 0 num_batches = 0 variances = np.array(0) for i, data in enumerate(dataloader): num_batches += 1 ...
test
identifier_name
main_model.py
.append(transforms.ToTensor()) # if args.frozen: # transforms_list.append(lambda x: x.repeat(3, 1, 1)) # transforms_list.append(transforms.Normalize(mean=[0.485, 0.456, 0.406], # std=[0.229, 0.224, 0.225])) # transform = transforms.Compose(transforms_list) transform = transforms.ToTe...
self.fc1 = nn.Linear(128 * 6 * 6, 1028) # self.fc2 = nn.Linear def forward(self, x): x = self.relu(self.conv1(x)) x = self.relu(self.conv2(x)) x = self.relu(self.conv3(x)) x = self.pool1(x) x = x.view(16 , -1) x = self.relu(self.fc1(x)) ...
random_line_split
row.component.ts
// patternStr:'[\u4e00-\u9fa5]+[0-9]*', patternStr: '[a-zA-Z0-9]+', patternErr: '表格名称格式不正确,只能为中文名称或中文名称加数字' } }, {
pattern: false, } }, { name: '列表/视图', eName: 'tableName', type: 'text', validateCon: '请输入列表/视图', require: true, validators: { require: true, pattern: false, } }, { name: '列表字段', eName: 'colEname', type: 'text', validateCon: '请输入列表字段', require: true, ...
name: '列名称', eName: 'colCname', type: 'text', validateCon: '请输入列名称', require: true, validators: { require: true,
random_line_split
row.component.ts
patternStr:'[\u4e00-\u9fa5]+[0-9]*', patternStr: '[a-zA-Z0-9]+', patternErr: '表格名称格式不正确,只能为中文名称或中文名称加数字' } }, { name: '列名称', eName: 'colCname', type: 'text', validateCon: '请输入列名称', require: true, validators: { require: true, pattern: false, } }, {...
xport`; this.http.post(url, this.searchData, {responseType: 'blob'}).subscribe( res => { let blob = new Blob([res], {type: 'application/vnd.ms-excel'}); let objectUrl = URL.createObjectURL(blob); let a = document.createElement('a'); a.href = objectUrl; a.target = '_blan...
a.length = data.length || this.pageSize; //最好有 this.searchData = data; this.listLoading = true; this.getListSearch(data); } btnClick(data: any): void { switch (data.type.buttonId) { case 'Export': { //导出 this.btnExport(); } break; } } /** * 导出按钮 */ btnEx...
identifier_body
row.component.ts
validators: { require: true, pattern: false, } }, { name: '列表字段', eName: 'colEname', type: 'text', validateCon: '请输入列表字段', require: true, validators: { require: true, pattern: false, } }, { name: '列是否显示', eName: 'visible', type: 'radio', val...
.data[0].
identifier_name
row.component.ts
// patternStr:'[\u4e00-\u9fa5]+[0-9]*', patternStr: '[a-zA-Z0-9]+', patternErr: '表格名称格式不正确,只能为中文名称或中文名称加数字' } }, { name: '列名称', eName: 'colCname', type: 'text', validateCon: '请输入列名称', require: true, validators: { require: true, pattern: false, } }, ...
ironment.baseUrl}column/selectColumnList`; params.data = data; this.httpUtilService.request(params).then( (res: any) => { this.listLoading = false; if (res.success) { this.dataSet = res.data.data.data; this.totalPage = res.data.data.total; } } ); } ...
this.listLoading = true; const params = {url: '', data: {}, method: 'POST'}; params.url = `${env
conditional_block
ingredients.go
ParseTextIngredients parses a list of ingredients and // returns an ingredient list back func ParseTextIngredients(text string) (ingredientList IngredientList, err error) { r := &Recipe{FileName: "lines"} r.FileContent = text lines := strings.Split(text, "\n") i := 0 goodLines := make([]string, len(lines)) for _...
{ return }
conditional_block
ingredients.go
() { inflection.AddSingular("(clove)(s)?$", "${1}") inflection.AddSingular("(potato)(es)?$", "${1}") inflection.AddSingular("(tomato)(es)?$", "${1}") inflection.AddUncountable("molasses") inflection.AddUncountable("bacon") } // Recipe contains the info for the file and the lines type Recipe struct { FileName ...
init
identifier_name
ingredients.go
Recipe{FileName: "lines"} r.FileContent = text lines := strings.Split(text, "\n") i := 0 goodLines := make([]string, len(lines)) for _, line := range lines { line = strings.TrimSpace(line) if len(line) == 0 { continue } goodLines[i] = line i++ } _, r.Lines = scoreLines(goodLines) err = r.parseRecip...
if len(arrayMap) == 0 { err = fmt.Errorf("nothing to parse") return } parseMap(arrayMap[0], &lineInfo)
random_line_split
ingredients.go
{ b, err := ioutil.ReadFile(fname) if err != nil { return } r = new(Recipe) err = json.Unmarshal(b, r) return } // ParseTextIngredients parses a list of ingredients and // returns an ingredient list back func ParseTextIngredients(text string) (ingredientList IngredientList, err error) { r := &Recipe{FileName...
// NewFromHTML generates a new parser from a HTML text func NewFromHTML(name, htmlstring string) (r *Recipe, err error) { r = &Recipe{FileName: name} r.FileContent = htmlstring err = r.parseHTML() return } func IngredientsFromURL(url string) (ingredients []Ingredient, err error) { r, err := NewFromURL(url) if ...
{ client := http.Client{ Timeout: 10 * time.Second, } resp, err := client.Get(url) if err != nil { return } defer resp.Body.Close() html, err := ioutil.ReadAll(resp.Body) if err != nil { return } return NewFromHTML(url, string(html)) }
identifier_body
tidy_toys.py
_width global image_height global toys global frame # declare golbal variables global driveLeft, driveRight global toys_collected # define variables Known_Distance = 100 #100cm Known_Width = 5 #5cm image_width = 640 image_height = 480 toys = ["blue", "green", "red"] target_toy = None # allocates a none value toys_co...
# movement print("Movement Control") def grabber(): # grabber control print("Grabber Control") # HSV COLOURSPACE START def find_toy(frame, target_toy): # convert captured image to HSV colour space to detect colours toy = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) #cv2.imshow("toy", toy) #key ...
ving():
identifier_name
tidy_toys.py
# Ensure the communications failsafe has been enabled! failsafe = False for i in range(5): TB.SetCommsFailsafe(True) failsafe = TB.GetCommsFailsafe() if failsafe: break if not failsafe: print('Board %02X failed to report in failsafe mode!' % (TB.i2cAddress)) def startup(): print("Waiting fo...
nt("steering left") drive = "steering left" #Enter motor controls here #TB.SetMotor1(0.25) #TB.SetMotor2(0.5) driveLeft = 0.25 driveRight = 0.50 cv2.putText(frame, drive, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 255, 0), 2) ...
conditional_block
tidy_toys.py
image_width global image_height global toys global frame # declare golbal variables global driveLeft, driveRight global toys_collected # define variables Known_Distance = 100 #100cm Known_Width = 5 #5cm image_width = 640 image_height = 480 toys = ["blue", "green", "red"] target_toy = None # allocates a none value t...
# DISTANCE (z) BEGIN # initialise the known distance from the camera to the object which is 300mm 11.81102 inches KNOWN_DISTANCE = 100 Z = KNOWN_DISTANCE # initialise the know object width, which is 50mm or 1.968504 inches KNOWN_WIDTH = 0.5 D = KNOWN_WIDTH # d = width in pixels at 100cm...
def distance(w, frame): #global Z print("distance, z") #Debugging
random_line_split
tidy_toys.py
AIN_APPROX_SIMPLE) contour_sizes = [(cv2.contourArea(contours), contours) for contours in contours] if len(contour_sizes) > 0: biggest_contour = max(contour_sizes, key=lambda x: x[0])[1] # draw a green bounding box around the detected object x, y, w, h = cv2.boundingRect(biggest_conto...
SetMotor1(driveLeft) TB.SetMotor2(driveRight) d
identifier_body
TkUtil.py
Tkinter with Tkinter.Tk(). Warning: windowingsystem is a fairly recent tk command; if it is not available then this code does its best to guess but will not guess aqua. """ global g_winSys if not g_winSys: tkWdg = _getTkWdg() try: g_winSys = tkWdg.tk.call("...
extent_ii = usableScreenExtent_ii
conditional_block
TkUtil.py
#def register(self, func): #"""Register a function as a tcl function. #Returns the name of the tcl function. #Be sure to deregister the function when done #or delete the TkAdapter #""" #funcObj = TclFunc(func) #funcName = funcObj.tclFuncName #self.func...
screenExtent
identifier_name
TkUtil.py
truncRGB = [max(min(int(val), 0xFFFF), 0) for val in netRGB] retColor = "#%04x%04x%04x" % tuple(truncRGB) #print "mixColors(%r); netRGB=%s; truncRGB=%s; retColor=%r" % (colorMultPairs, netRGB, truncRGB, retColor) return retColor def colorOK(colorStr): """Return True if colorStr is a valid tk color, Fa...
class Geometry(object): """A class representing a tk geometry Fields include the following two-element tuples: - offset: x,y offset of window relative to screen; see also offsetFlipped - offsetFlipped: is the meaning of x,y offset flipped? if False (unflipped) then offset is the distance ...
return self.tclFuncName
identifier_body
TkUtil.py
# windowing system constants WSysAqua = "aqua" WSysX11 = "x11" WSysWin = "win32" # internal globals g_tkWdg = None g_winSys = None g_tkVersion = None def addColors(*colorMultPairs): """Add colors or scale a color. Inputs: - A list of one or more (color, mult) pairs. Returns sum of (R, G, B)...
import tkinter import RO.OS
random_line_split
cleaner.go
detail_new_|" + "detail_related_|" + "figcaption|" + "footnote|" + "foot|" + "header|" + "img_popup_single|" + "js_replies|" + "[Kk]ona[Ff]ilter|" + "leading|" + "legende|" + "links|" + "mediaarticlerelated|" + "menucontainer|" + "meta$|" + "navbar|" + "pagetools|" + "popup|" + "post-attributes|" + "...
func (this *cleaner) cleanEMTags(doc *goquery.Document) *goquery.Document { ems := doc.Find("em") ems.Each(func(i int, s *goquery.Selection) { images := s.Find("img") if images.Length() == 0 { this.config.parser.dropTag(s) } }) if this.config.debug { log.Printf("Cleaning %d EM tags\n", ems.Size()) } ...
{ tags := [3]string{"id", "name", "class"} articles := doc.Find("article") articles.Each(func(i int, s *goquery.Selection) { for _, tag := range tags { this.config.parser.delAttr(s, tag) } }) return doc }
identifier_body
cleaner.go
detail_new_|" + "detail_related_|" + "figcaption|" + "footnote|" + "foot|" + "header|" + "img_popup_single|" + "js_replies|" + "[Kk]ona[Ff]ilter|" + "leading|" + "legende|" + "links|" + "mediaarticlerelated|" + "menucontainer|" + "meta$|" + "navbar|" + "pagetools|" + "popup|" + "post-attributes|" + "...
(doc *goquery.Document) *goquery.Document { spans := doc.Find("span") spans.Each(func(i int, s *goquery.Selection) { parent := s.Parent() if parent != nil && parent.Length() > 0 && parent.Get(0).DataAtom == atom.P { node := s.Get(0) node.Data = s.Text() node.Type = html.TextNode } }) return doc } fu...
cleanParaSpans
identifier_name
cleaner.go
k]ona[Ff]ilter|" + "leading|" + "legende|" + "links|" + "mediaarticlerelated|" + "menucontainer|" + "meta$|" + "navbar|" + "pagetools|" + "popup|" + "post-attributes|" + "post-title|" + "relacionado|" + "retweet|" + "runaroundLeft|" + "shoutbox|" + "site_nav|" + "socialNetworking|" + "social_|" + "so...
for _, o := range output { o.NextSibling = nil }
random_line_split
cleaner.go
detail_new_|" + "detail_related_|" + "figcaption|" + "footnote|" + "foot|" + "header|" + "img_popup_single|" + "js_replies|" + "[Kk]ona[Ff]ilter|" + "leading|" + "legende|" + "links|" + "mediaarticlerelated|" + "menucontainer|" + "meta$|" + "navbar|" + "pagetools|" + "popup|" + "post-attributes|" + "...
}) } return doc } func (this *cleaner) cleanParaSpans(doc *goquery.Document) *goquery.Document { spans := doc.Find("span") spans.Each(func(i int, s *goquery.Selection) { parent := s.Parent() if parent != nil && parent.Length() > 0 && parent.Get(0).DataAtom == atom.P { node := s.Get(0) node.Data = s.Te...
{ log.Printf("%d naughty %s elements found", cont, selector) }
conditional_block
新的分钟数据整合.py
_range_path)['date'].values.tolist() rar.extractall(path=file_name.split('.')[0]) # 首先需要输入end_date 确保截取的时间长度和main主力合约的时间对齐 # 按照月份确定位置 pro = ts.pro_api('3d832df2966f27c20e6ff243ab1d53a35a4adc1c64b353cc370ac7d6') ts.set_token('3d832df2966f27c20e6ff243ab1d53a35a4adc1c64b353cc370ac7d6') date_df=pro...
#分割到的长度放入容器中 target_num=len(target_df) #理论长度 theory_num=len(time_0931_15) #实际上两种情况:1.是交易日但完全没有数据2.是交易日,只有部分数据 3.是交易日,数据也是完整的 if target_num>0: #开始区分2,3情况 have_time=target_df['time'].values.tolist() lac...
# 设置了存放按月填充的路径 for date_index in range(len(target_date)): #按日期进行分割 target_df=final_df.loc[final_df['date2']==target_date[date_index]]
random_line_split
新的分钟数据整合.py
_path)['date'].values.tolist() rar.extractall(path=file_name.split('.')[0]) # 首先需要输入end_date 确保截取的时间长度和main主力合约的时间对齐 # 按照月份确定位置 pro = ts.pro_api('3d832df2966f27c20e6ff243ab1d53a35a4adc1c64b353cc370ac7d6') ts.set_token('3d832df2966f27c20e6ff243ab1d53a35a4adc1c64b353cc370ac7d6') date_df=pro.trade...
for row_index in range(len(result)): target_row=result.iloc[row_index].tolist() clean_row=target_row[:-2] orignal_data.append(clean_row) print(f'{contract_kind} {date} finished!') else: print(f'没找到合约品种{contract_kind}在{date}') print(f'{c...
if result.shape[0]>0:
conditional_block
新的分钟数据整合.py
path:str,rar_data_file_path:str,clean_data_path:str,time_range_path:str,end_date:str,commodity_bool=True): ''' 用于更新月度的商品期货数据 year_month:'201911'字符串年份和月份,对应的是FutAC_Min1_Std_后面的数字,如FutAC_Min1_Std_201911 contract_kind:放对应品种的list 类似['A','B'] main_code_path:对应存放主力合约的地方 rar_data_file_path: 对应的是存放rar数据...
ct_kind:str,main_code_
identifier_name
新的分钟数据整合.py
data=np.load(specifi_path) time_0931_15=pd.read_csv(time_range_path)['date'].values.tolist() rar.extractall(path=file_name.split('.')[0]) # 首先需要输入end_date 确保截取的时间长度和main主力合约的时间对齐 # 按照月份确定位置 pro = ts.pro_api('3d832df2966f27c20e6ff243ab1d53a35a4adc1c64b353cc370ac7d6') ts.set_token('3d832df296...
'字符串年份和月份,对应的是FutAC_Min1_Std_后面的数字,如FutAC_Min1_Std_201911 contract_kind:放对应品种的list 类似['A','B'] main_code_path:对应存放主力合约的地方 rar_data_file_path: 对应的是存放rar数据如FutAC_Min1_Std_201911.rar的位置,不包括对应的文件名 clean_data_path:对应存放分钟数据的位置,处理好的新数据会追加到对应位置下的对应品种处 time_range_path:放置交易时间文件的路径,包括文件名 如 D:/统一所有品种时间范围.csv ...
identifier_body
conf.go
"time" ) type urlHolder struct { scheme string host string port int } type config struct { securityProviders []securityProvider urlHolder *urlHolder pathStyle bool cname bool sslVerify bool endpoint string signature SignatureType region s...
"strconv" "strings"
random_line_split
conf.go
d]", conf.endpoint, conf.signature, conf.pathStyle, conf.region, conf.connectTimeout, conf.socketTimeout, conf.headerTimeout, conf.idleConnTimeout, conf.maxRetryCount, conf.maxConnsPerHost, conf.sslVerify, conf.maxRedirectCount, ) } type configurer func(conf *config) func WithSecurityProviders(sps ...securityP...
(headerTimeout int) configurer { return func(conf *config) { conf.headerTimeout = headerTimeout } } // WithProxyUrl is a configurer for ObsClient to set HTTP proxy. func WithProxyUrl(proxyURL string) configurer { return func(conf *config) { conf.proxyURL = proxyURL } } // WithMaxConnections is a configurer fo...
WithHeaderTimeout
identifier_name
conf.go
]", conf.endpoint, conf.signature, conf.pathStyle, conf.region, conf.connectTimeout, conf.socketTimeout, conf.headerTimeout, conf.idleConnTimeout, conf.maxRetryCount, conf.maxConnsPerHost, conf.sslVerify, conf.maxRedirectCount, ) } type configurer func(conf *config) func WithSecurityProviders(sps ...securityPr...
func (conf *config) prepareConfig() { if conf.connectTimeout <= 0 { conf.connectTimeout = DEFAULT_CONNECT_TIMEOUT } if conf.socketTimeout <= 0 { conf.socketTimeout = DEFAULT_SOCKET_TIMEOUT } conf.finalTimeout = conf.socketTimeout * 10 if conf.headerTimeout <= 0 { conf.headerTimeout = DEFAULT_HEADER_TIM...
{ return func(conf *config) { conf.enableCompression = enableCompression } }
identifier_body
conf.go
]", conf.endpoint, conf.signature, conf.pathStyle, conf.region, conf.connectTimeout, conf.socketTimeout, conf.headerTimeout, conf.idleConnTimeout, conf.maxRetryCount, conf.maxConnsPerHost, conf.sslVerify, conf.maxRedirectCount, ) } type configurer func(conf *config) func WithSecurityProviders(sps ...securityPr...
conf.transport.Proxy = http.ProxyURL(proxyURL) } tlsConfig := &tls.Config{InsecureSkipVerify: !conf.sslVerify} if conf.sslVerify && conf.pemCerts != nil { pool := x509.NewCertPool() pool.AppendCertsFromPEM(conf.pemCerts) tlsConfig.RootCAs = pool } conf.transport.TLSClientConfig = tlsConfig co...
{ return err }
conditional_block
PROGRAM.py
(mode,text): keyboard=text if keyboard=='': return if mode==1: try: window_id = xbmcgui.getCurrentWindowDialogId() window = xbmcgui.Window(window_id) keyboard = mixARABIC(keyboard) window.getControl(311).setLabel(keyboard) except: pass elif mode==0: ttype='X' check=isinstance(keyboard, unicode) ...
FIX_KEYBOARD
identifier_name
PROGRAM.py
اذن أقرأ قسم المشاكل والحلول واذا لم تجد الحل هناك فاذن اكتب رسالة عن المكان والوقت والحال الذي تحدث فيه المشكلة واكتب جميع التفاصيل لان المبرمج لا يعلم الغيب') xbmcgui.Dialog().ok('عنوان الايميل','اذا كنت تريد ان تسأل وتحتاج جواب من المبرمج فاذن يجب عليك اضافة عنوان البريد الالكتروني email الخاص بك الى رسالتك لانها ا...
"}' # #auth=("api", "my personal api key"), # #response = requests.request('POST',url, data=payload, headers='', auth='') # response = requests.post(url, data=payload, headers='', auth='') # if response.status_code == 200: # xbmcgui.Dialog().ok('تم الارسال بنجاح','') # else: # xbmcgui.Dialog().ok('خطأ في الارس...
sage+'
conditional_block
PROGRAM.py
اذن أقرأ قسم المشاكل والحلول واذا لم تجد الحل هناك فاذن اكتب رسالة عن المكان والوقت والحال الذي تحدث فيه المشكلة واكتب جميع التفاصيل لان المبرمج لا يعلم الغيب') xbmcgui.Dialog().ok('عنوان الايميل','اذا كنت تريد ان تسأل وتحتاج جواب من المبرمج فاذن يجب عليك اضافة عنوان البريد الالكتروني email الخاص بك الى رسالتك لانها ا...
ب','',99,'','',search) addDir('[COLOR FFC89008]=========================[/COLOR]','',9999) addDir('13. [COLOR FFC89008]SHA [/COLOR]'+search+' - موقع شاهد فوريو','',119,'','',search) addDir('14. [COLOR FFC89008]HLA [/COLOR]'+search+' - موقع هلا سيما','',89,'','',search) xbmcplugin.endOfDirectory(addon_handle) r...
identifier_body
PROGRAM.py
فر) يعمل على جهازك ... وجهازك قادر على استخدام المواقع المشفرة') else: xbmcgui.Dialog().ok('الاتصال المشفر','مشكلة ... الاتصال المشفر (الربط المشفر) لا يعمل على جهازك ... وجهازك غير قادر على استخدام المواقع المشفرة') from PROBLEMS import MAIN as PROBLEMS_MAIN PROBLEMS_MAIN(152) return def SERVERS_TYPE(): text...
random_line_split
api_op_ListSMSSandboxPhoneNumbers.go
.com/sns/latest/dg/sns-sms-sandbox.html) // in the Amazon SNS Developer Guide. func (c *Client) ListSMSSandboxPhoneNumbers(ctx context.Context, params *ListSMSSandboxPhoneNumbersInput, optFns ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error) { if params == nil { params = &ListSMSSandboxPhoneNumbersInput{...
func (m *opListSMSSandboxPhoneNumbersResolveEndpointMiddleware) HandleSerialize(ctx context.Context, in middleware.SerializeInput, next middleware.SerializeHandler) ( out middleware.SerializeOutput, metadata middleware.Metadata, err error, ) { if awsmiddleware.GetRequiresLegacyEndpoints(ctx) { return next.HandleS...
{ return "ResolveEndpointV2" }
identifier_body
api_op_ListSMSSandboxPhoneNumbers.go
.com/sns/latest/dg/sns-sms-sandbox.html) // in the Amazon SNS Developer Guide. func (c *Client) ListSMSSandboxPhoneNumbers(ctx context.Context, params *ListSMSSandboxPhoneNumbersInput, optFns ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error) { if params == nil { params = &ListSMSSandboxPhoneNumbersInput{...
return nil } // ListSMSSandboxPhoneNumbersAPIClient is a client that implements the // ListSMSSandboxPhoneNumbers operation. type ListSMSSandboxPhoneNumbersAPIClient interface { ListSMSSandboxPhoneNumbers(context.Context, *ListSMSSandboxPhoneNumbersInput, ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error...
{ return err }
conditional_block
api_op_ListSMSSandboxPhoneNumbers.go
.amazon.com/sns/latest/dg/sns-sms-sandbox.html) // in the Amazon SNS Developer Guide. func (c *Client) ListSMSSandboxPhoneNumbers(ctx context.Context, params *ListSMSSandboxPhoneNumbersInput, optFns ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error) { if params == nil { params = &ListSMSSandboxPhoneNumber...
// A list of the calling account's pending and verified phone numbers. // // This member is required. PhoneNumbers []types.SMSSandboxPhoneNumber // A NextToken string is returned when you call the ListSMSSandboxPhoneNumbersInput // operation if additional pages of records are available. NextToken *string // ...
noSmithyDocumentSerde } type ListSMSSandboxPhoneNumbersOutput struct {
random_line_split
api_op_ListSMSSandboxPhoneNumbers.go
.amazon.com/sns/latest/dg/sns-sms-sandbox.html) // in the Amazon SNS Developer Guide. func (c *Client) ListSMSSandboxPhoneNumbers(ctx context.Context, params *ListSMSSandboxPhoneNumbersInput, optFns ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error) { if params == nil { params = &ListSMSSandboxPhoneNumber...
() bool { return p.firstPage || (p.nextToken != nil && len(*p.nextToken) != 0) } // NextPage retrieves the next ListSMSSandboxPhoneNumbers page. func (p *ListSMSSandboxPhoneNumbersPaginator) NextPage(ctx context.Context, optFns ...func(*Options)) (*ListSMSSandboxPhoneNumbersOutput, error) { if !p.HasMorePages() { ...
HasMorePages
identifier_name
app.js
é uma linha do arquivo var fileArr = e.target.result.split('\n'); // Monta a div que irá exibir os dados var cnpj = fileArr[2].slice(3, 17); var div = '<p><strong>CNPJ:</strong> ' + formataCnpj(cnpj) + '</p>'; div += '<p><strong>Transportadora:</strong> ' + fileArr[2].slice(17, 57) + '</p>'; ...
'</tr>'; }; div += '</table>'; // Seta a div montada com os dados areaUpload.classList.add('hidden'); btnNewReader.classList.remove('hidden'); // Exibe os dados exibeArquivo.innerHTML = div; }; btnNewReader.addEventListener('click', function() { areaUpload.classList.remove('hid...
Verifica se o registro é de uma ocorrência if (fileLine[j].slice(0, 3) == '342') { var ocorrencia = dadosOcorrencia(fileLine[j].slice(28, 30)); div += '<td>' + ocorrencia.cod + '</td>'; div += '<td>' + ocorrencia.descricao + '</td>'; } };...
conditional_block
app.js
// Passa os dados do arquivo para um aray onde cada índice é uma linha do arquivo var fileArr = e.target.result.split('\n'); // Monta a div que irá exibir os dados var cnpj = fileArr[2].slice(3, 17); var div = '<p><strong>CNPJ:</strong> ' + formataCnpj(cnpj) + '</p>'; div += '<p><strong>Transport...
o(e) {
identifier_name
app.js
índice é uma linha do arquivo var fileArr = e.target.result.split('\n'); // Monta a div que irá exibir os dados var cnpj = fileArr[2].slice(3, 17); var div = '<p><strong>CNPJ:</strong> ' + formataCnpj(cnpj) + '</p>'; div += '<p><strong>Transportadora:</strong> ' + fileArr[2].slice(17, 57) + '</p>...
}; btnNewReader.addEventListener('click', function() { areaUpload.classList.remove('hidden'); btnNewReader.classList.add('hidden'); exibeArquivo.innerHTML = ''; }); var formataCnpj = function(cnpj) { return cnpj.slice(0, 2) + '.' + cnpj.slice(2, 5) + '.' + cnpj.slice(5, 8) + '/' + ...
random_line_split
app.js
é uma linha do arquivo var fileArr = e.target.result.split('\n'); // Monta a div que irá exibir os dados var cnpj = fileArr[2].slice(3, 17); var div = '<p><strong>CNPJ:</strong> ' + formataCnpj(cnpj) + '</p>'; div += '<p><strong>Transportadora:</strong> ' + fileArr[2].slice(17, 57) + '</p>'; ...
{cod: '19', descricao: "Reentrega Solicitada pelo Cliente"}, {cod: '20', descricao: "Entrega Prejudicada por Horário/Falta de Tempo Hábil"}, {cod: '21', descricao: "Estabelecimento Fechado"}, {cod: '22', descricao: "Reentrega sem Cobrança do Cliente"}, {cod: '23', descricao: "Ext...
rrencias = [ {cod: '00', descricao: "Processo de Transporte já Iniciado"}, {cod: '01', descricao: "Entrega Realizada Normalmente"}, {cod: '02', descricao: "Entrega Fora da Data Programada"}, {cod: '03', descricao: "Recusa por Falta de Pedido de Compra"}, {cod: '04', descricao: "...
identifier_body
mc.py
): self.pool.add(canonical((i, j))) for piece in self.my_pieces: self.pool.remove(canonical(piece)) def feed(self): # Save if self.history_pointer == 0: self.my_init() # Game simulation # team = self.position % 2 while self.h...
for i in range(4): # Player `i` don't have any remaining piece if (mask >> (7 * i)) & ((1 << 7) - 1) == 0: winner_team = i & 1 break hand = 0 for j in range(7): if (mask >> (i * 7 + j)) & 1: hand += sum(distribution[i][j]) ...
light_player = set()
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mc.py
): self.pool.add(canonical((i, j))) for piece in self.my_pieces: self.pool.remove(canonical(piece)) def feed(self): # Save if self.history_pointer == 0: self.my_init() # Game simulation # team = self.position % 2 while self.h...
assert len(order) == 0 return pieces def choice(self): self.feed() NUM_SAMPLING = 10 NUM_EXPANDED = 2000 scores = {} # Score of each move (piece, head) winpredictions = {} for _ in range(NUM_SAMPLING): distribution = self.sample() ...
if pos == self.position: pieces[pos] = deepcopy(self.pieces) else: r = self.remaining[pos] pieces[pos] = order[:r] order = order[r:] assert len(pieces[pos]) == r
conditional_block
mc.py
): self.pool.add(canonical((i, j))) for piece in self.my_pieces: self.pool.remove(canonical(piece)) def feed(self): # Save if self.history_pointer == 0: self.my_init() # Game simulation # team = self.position % 2 while self.h...
(self): self.feed() NUM_SAMPLING = 10 NUM_EXPANDED = 2000 scores = {} # Score of each move (piece, head) winpredictions = {} for _ in range(NUM_SAMPLING): distribution = self.sample() cscores, cwinpredictions = montecarlo(distribution, tuple(se...
choice
identifier_name
mc.py
): self.pool.add(canonical((i, j))) for piece in self.my_pieces: self.pool.remove(canonical(piece)) def feed(self): # Save if self.history_pointer == 0: self.my_init() # Game simulation # team = self.position % 2 while self.h...
heads = tuple(heads) pos = position start = (mask, heads, pos) # Initialize states for MonteCarlo Tree Search state_map = {start: Node(start)} # Run MonteCarlo iterations = 0 logger.debug(f"Start montecarlo from: {bin(mask)} | {heads} | {pos}") while True: iterations += ...
""" state: (bitmask, heads, pos) bitmask: 7 bits each player 2**28 states that denotes which pieces are still holding relative to `distribution` parent visit count: PC visit count: VC win count: WC exploration control: K WC / VC +...
identifier_body
csn.py
_id_node_counter = 1 _or_nodes = 0 _leaf_nodes = 0 _or_edges = 0 _clt_edges = 0 _cltrees = 0 _depth = 0 _mean_depth = 0 @classmethod def init_stats(cls): Csn._id_node_counter = 1 Csn._or_nodes = 0 Csn._leaf_nodes = 0 Csn._or_edges = 0 Csn._cl...
if clt is None: COC = [[] for i in range(data.shape[0])] for r in range(data.shape[0]): for f in range(data.shape[1]): if data[r,f]>0: COC[r].append(f) self.node.cltree = Cltree() self.node...
self.min_instances = min_instances self.min_features = min_features self.alpha = alpha self.depth = depth self.data = data self.node = TreeNode() self.multilabel = multilabel self.n_labels = n_labels self.ml_tree_structure = ml_tree_structure self....
identifier_body
csn.py
ll = 0.0, min_instances = 5, min_features = 3, alpha = 1.0, n_original_samples = None, leaf_vars = [], depth = 1, multilabel = False, n_labels=0, ml_tree_structure=0, xcnet=False): self.min_instances = min_instances self.min_features = min_f...
random_line_split
csn.py
_id_node_counter = 1 _or_nodes = 0 _leaf_nodes = 0 _or_edges = 0 _clt_edges = 0 _cltrees = 0 _depth = 0 _mean_depth = 0 @classmethod def init_stats(cls): Csn._id_node_counter = 1 Csn._or_nodes = 0 Csn._leaf_nodes = 0 Csn._or_edges = 0 Csn._cl...
(self, X): Prob = X[:,0]*0.0 for i in range(X.shape[0]): Prob[i] = np.exp(self.score_sample_log_proba(X[i])) return Prob def or_cut(self): print(" > trying to cut ... ") sys.stdout.flush() found = False bestlik = self.orig_ll be...
score_samples_proba
identifier_name
csn.py
_id_node_counter = 1 _or_nodes = 0 _leaf_nodes = 0 _or_edges = 0 _clt_edges = 0 _cltrees = 0 _depth = 0 _mean_depth = 0 @classmethod def init_stats(cls): Csn._id_node_counter = 1 Csn._or_nodes = 0 Csn._leaf_nodes = 0 Csn._or_edges = 0 Csn._cl...
self.node.cltree = Cltree() self.node.cltree.fit(data, alpha=self.alpha, multilabel = self.multilabel, n_labels=self.n_labels, ml_tree_structure=self.ml_tree_structure) self.orig_ll = self.node.cltree.score_samples_log_proba(self.dat...
for f in range(data.shape[1]): if data[r,f]>0: COC[r].append(f)
conditional_block
network.rs
Mojang, MojangHasJoinedResponse}; use crate::packets::*; use crate::player::Player; use openssl::pkey::Private; use openssl::rsa::{Padding, Rsa}; use rand::Rng; use serde::{Deserialize, Serialize}; use serde_json::json; use std::io::prelude::*; use std::net::{TcpListener, TcpStream}; use std::sync::mpsc; use std::threa...
loop { /*let now = SystemTime::now(); let time_since = now.duration_since(last_tick_time).unwrap().as_millis(); if time_since > 50 { last_tick_time = now; } */ self
random_line_split
network.rs
Mojang, MojangHasJoinedResponse}; use crate::packets::*; use crate::player::Player; use openssl::pkey::Private; use openssl::rsa::{Padding, Rsa}; use rand::Rng; use serde::{Deserialize, Serialize}; use serde_json::json; use std::io::prelude::*; use std::net::{TcpListener, TcpStream}; use std::sync::mpsc; use std::threa...
fn start(mut self) { println!("Listening for connections..."); //let mut last_tick_time = SystemTime::now(); loop { /*let now = SystemTime::now(); let time_since = now.duration_since(last_tick_time).unwrap().as_millis(); if time_since > 50 { ...
{ // TODO: Clean up maybe let mut finished_indicies = Vec::new(); for (i, pending) in self.mojang.has_joined_pending.iter().enumerate() { if pending.result.is_some() { finished_indicies.push(i); } } for index in finished_indicies { let ...
identifier_body
network.rs
Mojang, MojangHasJoinedResponse}; use crate::packets::*; use crate::player::Player; use openssl::pkey::Private; use openssl::rsa::{Padding, Rsa}; use rand::Rng; use serde::{Deserialize, Serialize}; use serde_json::json; use std::io::prelude::*; use std::net::{TcpListener, TcpStream}; use std::sync::mpsc; use std::threa...
(&mut self) { let num_clients = self.clients.len(); for client in 0..num_clients { let mut packets = self.clients[client] .connection .receive_packets(); for packet_batch in packets.drain(..) { for packet in PacketDecoder::new_batch...
receive_packets
identifier_name
network.rs
Mojang, MojangHasJoinedResponse}; use crate::packets::*; use crate::player::Player; use openssl::pkey::Private; use openssl::rsa::{Padding, Rsa}; use rand::Rng; use serde::{Deserialize, Serialize}; use serde_json::json; use std::io::prelude::*; use std::net::{TcpListener, TcpStream}; use std::sync::mpsc; use std::threa...
} fn poll_mojang(&mut self) { // TODO: Clean up maybe let mut finished_indicies = Vec::new(); for (i, pending) in self.mojang.has_joined_pending.iter().enumerate() { if pending.result.is_some() { finished_indicies.push(i); } } for index i...
{ self.clients.push(client); }
conditional_block
tautils.py
, ta_file): """ Write data to a file. """ file_handle = file(ta_file, "w") file_handle.write(data_to_string(data)) file_handle.close() def data_to_string(data): """ JSON dump a string. """ return json_dump(data).replace(']], ', ']],\n') def do_dialog(dialog, suffix, load_save_folder): ""...
(top): """ When we undock, retract the 'arm' that extends from 'sandwichtop'. """ if top is not None and top.name in ['sandwichtop', 'sandwichtop_no_label']: if top.ey > 0: top.reset_y() def grow_stack_arm(top): """ When we dock, grow an 'arm' from 'sandwichtop'. """ if top is not ...
reset_stack_arm
identifier_name
tautils.py
def data_from_string(text): """ JSON load data from a string. """ return json_load(text.replace(']],\n', ']], ')) def data_to_file(data, ta_file): """ Write data to a file. """ file_handle = file(ta_file, "w") file_handle.write(data_to_string(data)) file_handle.close() def data_to_string(...
""" Open the .ta file, ignoring any .png file that might be present. """ file_handle = open(ta_file, "r") # # We try to maintain read-compatibility with all versions of Turtle Art. # Try pickle first; then different versions of json. # try: _data = pickle.load(file_handle) except: ...
identifier_body
tautils.py
(data, ta_file): """ Write data to a file. """ file_handle = file(ta_file, "w") file_handle.write(data_to_string(data)) file_handle.close() def data_to_string(data): """ JSON dump a string. """ return json_dump(data).replace(']], ', ']],\n') def do_dialog(dialog, suffix, load_save_folder): ...
while _blk is not None: if _blk.name in COLLAPSIBLE: return None if _blk.name in ['repeat', 'if', 'ifelse', 'forever', 'while']: if blk != _blk.connections[len(_blk.connections) - 1]: return None if _blk.name in ['sandwichtop', 'sandwichtop_no_label', ...
def find_sandwich_top(blk): """ Find the sandwich top above this block. """ # Always follow the main branch of a flow: the first connection. _blk = blk.connections[0]
random_line_split
tautils.py
.spr.get_xy() _yd = _you.docks[len(_you.docks) - 1] (_bx, _by) = _blk.spr.get_xy() _dx = _yx + _yd[2] - _blk.docks[0][2] - _bx _dy = _yy + _yd[3] - _blk.docks[0][3] - _by _blk.spr.move_relative((_dx, _dy)) # Since the shapes have changed, the dock ...
if not numeric_arg(blk2.connections[2].values[0]): return False
conditional_block
color.rs
/// Return the green value. pub fn green(&self) -> f32 { let Rgba(_, g, _, _) = self.to_rgb(); g } /// Return the blue value. pub fn blue(&self) -> f32 { let Rgba(_, _, b, _) = self.to_rgb(); b } /// Set the red value. pub fn set_red(&mut self, r: f32) { ...
/// Chocolate - Light - #E9B96E
random_line_split
color.rs
_rgb(hue: f32, saturation: f32, lightness: f32) -> (f32, f32, f32) { let chroma = (1.0 - (2.0 * lightness - 1.0).abs()) * saturation; let hue = hue / degrees(60.0); let x = chroma * (1.0 - (fmod(hue, 2) - 1.0).abs()); let (r, g, b) = match hue { hue if hue < 0.0 => (0.0, 0.0, 0.0), hue i...
hsla
identifier_name
color.rs
, 1.0-p, 1.0) } /// Construct a random color. pub fn random() -> Color { rgb(::rand::random(), ::rand::random(), ::rand::random()) } /// Clamp a f32 between 0f32 and 1f32. fn clampf32(f: f32) -> f32 { if f < 0.0 { 0.0 } else if f > 1.0 { 1.0 } else { f } } impl Color { /// Produce a complementary col...
else { (clampf32((1.0 - r) * 0.75 + r), clampf32((1.0 - g) * 0.25 + g), clampf32((1.0 - b) * 0.25 + b)) } }; let a = clampf32((1.0 - a) * 0.75 + a); rgba(r, g, b, a) } /// Return the Color's invert. pub fn in...
{ (r + 0.4, g + 0.2, b + 0.2) }
conditional_block
color.rs
, 1.0-p, 1.0) } /// Construct a random color. pub fn random() -> Color { rgb(::rand::random(), ::rand::random(), ::rand::random()) } /// Clamp a f32 between 0f32 and 1f32. fn clampf32(f: f32) -> f32 { if f < 0.0 { 0.0 } else if f > 1.0 { 1.0 } else { f } } impl Color { /// Produce a complementary col...
/// Return either black or white, depending which contrasts the Color the most. This will be /// useful for determining a readable color for text on any given background Color. pub fn plain_contrast(self) -> Color { if self.luminance() > 0.5 { black() } else { white() } } /// Extract the ...
{ match *self { Color::Rgba(r, g, b, _) => (r + g + b) / 3.0, Color::Hsla(_, _, l, _) => l, } }
identifier_body
lib.rs
//! either specific types or type constraints. //! - Functions are first-class types. Functions can have type and/or const params. //! Const params always specify tuple length. //! - Type params can be constrained. Constraints are expressed via [`Constraint`]s. //! As an example, [`Num`] has a few known constrain...
ConstraintSet::default() } } //
identifier_body
lib.rs
that all type / length variables not resolved at the function definition site become //! parameters of the function. Likewise, each function call instantiates a separate instance //! of a generic function; type / length params for each call are assigned independently. //! See the example below for more details. //! //...
type(input
identifier_name
lib.rs
arith::Num //! [`Linearity`]: crate::arith::Linearity //! //! # Inference rules //! //! Inference mostly corresponds to [Hindley–Milner typing rules]. It does not require //! type annotations, but utilizes them if present. Type unification (encapsulated in //! [`Substitutions`]) is performed at each variable use or ass...
/// let code = "x: [Num] = (1, 2, 3);"; /// let ast = Annotated::<F32Grammar>::parse_statements(code)?;
random_line_split
NJ.py
else: my_species = self.mrca self.graph.add_node(newNode, species=my_species) # replace first merged leave by newNode then shift everything after the 2nd merged leave self.graph.add_edge(unadded_nodes[minp[0]], newNode, homology_dist=mp0_mp_dist, synteny_dist=syn0_mp_dist) self.graph.add_edge(unadde...
my_species = self.graph.node[unadded_nodes[minp[0]]]['species']
conditional_block
NJ.py
] * (minp[1] - 1) / 2) + k] hom_matrix[pos] = 0.5 * (dfk_hom + dgk_hom - dfg_hom) syn_matrix[pos] = 0.5 * (dfk_syn + dgk_syn - dfg_syn) elif k == minp[0]: dfk_hom = hom_matrix[pos] dgk_hom = hom_matrix[pos + minp[1] - minp[0]] dfk_syn = syn_matrix[pos] dgk_syn = syn_matrix[pos + minp[1...
(self): if self.rootedTree: processed = ['root'] current_leaves = list(self.rootedTree['root']) # nwk = "(" + ",".join(current_leaves) + ");" # nwk = ",".join(current_leaves) nwk = "(" + current_leaves[0] + ":" + str(self.rootedTree['root'][current_leaves[0]]['homology_dist']) + ',' + current_leaves[1]...
getNewick
identifier_name
NJ.py
- 1): # raw_len += self.graph[raw_path[i]][raw_path[i + 1]]['homology_dist'] # # subract half of root edge length from raw_dist to get the distance from the root (edge mid-point) to this node, n # edge_length = self.graph[e[0]][e[1]][attr] # mid_edge = edge_length / 2.0 # dist = raw_len + mid_edge # retur...
new_trees = [] new_root_edges = [] futur_roots = [root[1][0], root[1][1]] self.graph.remove_edge(root[1][0], root[1][1]) new_graphs = nx.connected_component_subgraphs(self.graph) for n in new_graphs: for futur_root in futur_roots: # loop here, but next if selects only 1 iteration if futur_root in n.no...
identifier_body
NJ.py
_gain_poisson = 0.0 my_gain_poisson = poisson.pmf((gain), self.gain) if my_gain_poisson > 0: my_poisson += math.log10(my_gain_poisson) # my_loss_poisson = 0.0 my_loss_poisson = poisson.pmf((loss), self.loss) if my_loss_poisson > 0: my_poisson += math.log10(my_loss_poisson) gl_factor = self.gamma * my_...
random_line_split
main.rs
::activation::softmax_with_loss::SoftmaxWithLoss; use selecting_flow::compute_graph::fully_connected_layer::{ApplyFullyConnectedLayer, FullyConnectedLayer}; use selecting_flow::compute_graph::input_box::InputBox; use selecting_flow::compute_graph::{ExactDimensionComputeGraphNode, GraphNode}; use selecting_flow::data_ty...
} fn read_train_data(labels: impl AsRef<Path>, features: impl AsRef<Path>) -> TrainData { let (output_size, labels) = read_file_as_tensors(labels); let (input_size, features) = read_file_as_tensors(features); let data_pair = labels .into_par_iter() .zip_eq(features) .filter(|(outpu...
{ TrainDataPair { input, output } }
identifier_body
main.rs
_graph::activation::softmax_with_loss::SoftmaxWithLoss; use selecting_flow::compute_graph::fully_connected_layer::{ApplyFullyConnectedLayer, FullyConnectedLayer}; use selecting_flow::compute_graph::input_box::InputBox; use selecting_flow::compute_graph::{ExactDimensionComputeGraphNode, GraphNode}; use selecting_flow::d...
(labels: impl AsRef<Path>, features: impl AsRef<Path>) -> TrainData { let (output_size, labels) = read_file_as_tensors(labels); let (input_size, features) = read_file_as_tensors(features); let data_pair = labels .into_par_iter() .zip_eq(features) .filter(|(output, _)| output.value_co...
read_train_data
identifier_name
main.rs
_graph::activation::softmax_with_loss::SoftmaxWithLoss; use selecting_flow::compute_graph::fully_connected_layer::{ApplyFullyConnectedLayer, FullyConnectedLayer}; use selecting_flow::compute_graph::input_box::InputBox; use selecting_flow::compute_graph::{ExactDimensionComputeGraphNode, GraphNode}; use selecting_flow::d...
input: input_value, output: output_value, } = &data; assert_eq!(output_value.value_count(), 1); input.set_value(input_value.clone().into()); output.set_expect_output(output_value.clone()); ...
let mut accuracy = 0f64; for data in &data_pair[range] { let TrainDataPair {
random_line_split
main.rs
_graph::activation::softmax_with_loss::SoftmaxWithLoss; use selecting_flow::compute_graph::fully_connected_layer::{ApplyFullyConnectedLayer, FullyConnectedLayer}; use selecting_flow::compute_graph::input_box::InputBox; use selecting_flow::compute_graph::{ExactDimensionComputeGraphNode, GraphNode}; use selecting_flow::d...
else { 0. } } }; sum_of_loss += *output_loss.get([]).unwrap() as f64; if back_propagate { output.clear_gradient_all(); output.b...
{ 1. }
conditional_block
structs.go
// This is the point of sale of segments in PNRs: - 9 char Amadeus Office ID. - OR 2 char GDS code for OA PNRs PNRs containing a segment sold in any Amadeus Office ID matching pattern NCE6X*** or ***BA0*** or sold in Sabre (1S) or Gallileo (1G). Pos *PointOfSaleInformationType `xml:"pos,omitempty"` // The repetitio...
// identifies the category or categories. SubQueueInfoDetails *SubQueueInformationDetailsTypeI `xml:"subQueueInfoDetails,omitempty"` }
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tkteach.py
=tk.LEFT) self.frameLEFT = tk.Frame(master,bd=2,relief=tk.SUNKEN) self.frameLEFT.pack(side=tk.LEFT) self.datasetTitleLabel = tk.Label(self.frameLEFT, text="Data Set Selection:") self.datasetTitleLabel.pack() self.dataSetsListbox = tk.Listbox(self.frameLEFT,relief=tk.FLAT) for item in self....
# MIDDLE FRAME VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV self.frameMIDDLE = tk.Frame(master, bd=2) self.frameMIDDLE.pack(side=tk.LEFT) self.imgStage = tk.Label(self.frameMIDDLE, text="", height=self.default_size[1], width=self.default_size[0]) self.imgStage.pack() self.imgFileName = tk.Label(se...
self.frameSeperator01 = tk.Frame(master,width=20,height=1) self.frameSeperator01.pack(side=tk.LEFT)
random_line_split
tkteach.py
.frameMIDDLEIMGZOOM = tk.Frame(self.frameMIDDLE, bd=2) self.frameMIDDLEIMGZOOM.pack() self.imageZoomLabel = tk.Label(self.frameMIDDLEIMGZOOM, text="Zoom:") self.imageZoomLabel.pack(side=tk.LEFT) self.zoomOutButton = tk.Button(self.frameMIDDLEIMGZOOM, text="-", command=self.zoomOut, state=tk.DISABLED...
skipToImage
identifier_name
tkteach.py
=tk.LEFT) self.frameLEFT = tk.Frame(master,bd=2,relief=tk.SUNKEN) self.frameLEFT.pack(side=tk.LEFT) self.datasetTitleLabel = tk.Label(self.frameLEFT, text="Data Set Selection:") self.datasetTitleLabel.pack() self.dataSetsListbox = tk.Listbox(self.frameLEFT,relief=tk.FLAT) for item in self....
else: #Check if this is an ad-hoc keybind for a category selection... try: if self.categoriesListbox.selection_includes(self.keyBindings.index(key.char.lower())): self.categoriesListbox.selection_clear(self.keyBindings.index(key.char.lower())) else: self.categoriesListbox.selection_set...
self.zoomOutButton.config(relief=tk.SUNKEN) self.zoomOutButton.update_idletasks() self.zoomOut() time.sleep(0.05) self.zoomOutButton.config(relief=tk.RAISED)
conditional_block
tkteach.py
# LEFT FRAME VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV self.frameSeperator00 = tk.Frame(master,width=6,height=1) self.frameSeperator00.pack(side=tk.LEFT) self.frameLEFT = tk.Frame(master,bd=2,relief=tk.SUNKEN) self.frameLEFT.pack(side=tk.LEFT) self.datasetTitleLabel = tk.Label(self.frameLEFT, t...
print("-->__init__") self.master = master self.default_size = (800, 400) master.title("tkteach version 002") master.bind("<Key>", self.keyPressed) # Create GUI elements: self.titleLabel = tk.Label(master, text="tkteach version 002") self.titleLabel.pack() # BOTTOM "STATUS B...
identifier_body
v3_alarm_test.go
during apply func TestV3StorageQuotaApply(t *testing.T) { integration.BeforeTest(t) quotasize := int64(16 * os.Getpagesize()) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 2}) defer clus.Terminate(t) kvc1 := integration.ToGRPC(clus.Client(1)).KV // Set a quota on one node clus.Members[0]....
(t *testing.T) { integration.BeforeTest(t) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 3}) defer clus.Terminate(t) kvc := integration.ToGRPC(clus.RandClient()).KV mt := integration.ToGRPC(clus.RandClient()).Maintenance alarmReq := &pb.AlarmRequest{ MemberID: 123, Action: pb.AlarmReq...
TestV3AlarmDeactivate
identifier_name
v3_alarm_test.go
during apply func TestV3StorageQuotaApply(t *testing.T) { integration.BeforeTest(t) quotasize := int64(16 * os.Getpagesize()) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 2}) defer clus.Terminate(t) kvc1 := integration.ToGRPC(clus.Client(1)).KV // Set a quota on one node clus.Members[0]....
select { case <-stopc: t.Fatalf("timed out waiting for alarm") case <-time.After(10 * time.Millisecond): } } // txn with non-mutating Ops should go through when NOSPACE alarm is raised _, err = kvc0.Txn(context.TODO(), &pb.TxnRequest{ Compare: []*pb.Compare{ { Key: key, Result: ...
random_line_split
v3_alarm_test.go
during apply func TestV3StorageQuotaApply(t *testing.T) { integration.BeforeTest(t) quotasize := int64(16 * os.Getpagesize()) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 2}) defer clus.Terminate(t) kvc1 := integration.ToGRPC(clus.Client(1)).KV // Set a quota on one node clus.Members[0]....
ctx, cancel := context.WithTimeout(context.TODO(), integration.RequestWaitTimeout) defer cancel() // small quota machine should reject put if _, err := kvc0.Put(ctx, &pb.PutRequest{Key: key, Value: smallbuf}); err == nil { t.Fatalf("past-quota instance should reject put") } // large quota machine should rej...
{ t.Fatal(err) }
conditional_block
v3_alarm_test.go
during apply func TestV3StorageQuotaApply(t *testing.T) { integration.BeforeTest(t) quotasize := int64(16 * os.Getpagesize()) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 2}) defer clus.Terminate(t) kvc1 := integration.ToGRPC(clus.Client(1)).KV // Set a quota on one node clus.Members[0]....
fp := filepath.Join(clus.Members[0].DataDir, "member", "snap", "db") be := backend.NewDefaultBackend(lg, fp) s := mvcc.NewStore(lg, be, nil, mvcc.StoreConfig{}) // NOTE: cluster_proxy mode with namespacing won't set 'k', but namespace/'k'. s.Put([]byte("abc"), []byte("def"), 0) s.Put([]byte("xyz"), []byte("123"),...
{ integration.BeforeTest(t) lg := zaptest.NewLogger(t) clus := integration.NewCluster(t, &integration.ClusterConfig{Size: 3, UseBridge: true}) defer clus.Terminate(t) var wg sync.WaitGroup wg.Add(10) for i := 0; i < 10; i++ { go func() { defer wg.Done() if _, err := clus.Client(0).Put(context.TODO(), "k...
identifier_body
agent.go
network logical label // Asynchronous operations resumeReconciliation <-chan string // nil if no async ops cancelAsyncOps context.CancelFunc // nil if no async ops waitForAsyncOps func() // NOOP if no async ops } func (a *agent) init() error { a.ctx = context.Background() linkChan :...
} func (a *agent) linkSubscribe(doneChan <-chan struct{}) chan netlink.LinkUpdate { linkChan := make(chan netlink.LinkUpdate, 64) linkErrFunc := func(err error) { log.Errorf("LinkSubscribe failed %s\n", err) } linkOpts := netlink.LinkSubscribeOptions{ ErrorCallback: linkErrFunc, } if err := netlink.LinkSubs...
{ log.Infof("Fixed config items: %s", strings.Join(fixed, ", ")) }
conditional_block
agent.go
: network logical label // Asynchronous operations resumeReconciliation <-chan string // nil if no async ops cancelAsyncOps context.CancelFunc // nil if no async ops waitForAsyncOps func() // NOOP if no async ops } func (a *agent) init() error
return nil } func (a *agent) run(linkChan chan netlink.LinkUpdate) { for { select { case netModel := <-a.newNetModel: // Network model is already validated, applying... a.Lock() a.netModel = netModel a.updateCurrentState() a.updateIntendedState() a.reconcile() a.Unlock() case <-a.resumeR...
{ a.ctx = context.Background() linkChan := a.linkSubscribe(a.ctx.Done()) a.macLookup = &maclookup.MacLookup{} a.macLookup.RefreshCache() registry := &reconciler.DefaultRegistry{} if err := configitems.RegisterItems(registry, a.macLookup); err != nil { return err } a.registry = registry a.newNetModel = make(c...
identifier_body
agent.go
: network logical label // Asynchronous operations resumeReconciliation <-chan string // nil if no async ops cancelAsyncOps context.CancelFunc // nil if no async ops waitForAsyncOps func() // NOOP if no async ops } func (a *agent) init() error { a.ctx = context.Background() linkChan ...
(doneChan <-chan struct{}) chan netlink.LinkUpdate { linkChan := make(chan netlink.LinkUpdate, 64) linkErrFunc := func(err error) { log.Errorf("LinkSubscribe failed %s\n", err) } linkOpts := netlink.LinkSubscribeOptions{ ErrorCallback: linkErrFunc, } if err := netlink.LinkSubscribeWithOptions( linkChan, don...
linkSubscribe
identifier_name
agent.go
:= linkUpdate.Header.Type == syscall.RTM_DELLINK if added || deleted { log.Debugf("Important link change: %+v", linkUpdate) a.Lock() a.macLookup.RefreshCache() changed := a.updateCurrentState() mac := linkUpdate.Attrs().HardwareAddr if bytes.HasPrefix(mac, hostPortMACPrefix) { // Intend...
func (a *agent) getHostGwIP(ipv6 bool) net.IP { hostPort, found := a.macLookup.GetInterfaceByMAC(hostPortMACPrefix, true)
random_line_split
client.go
getLogger = func(ctx context.Context) log.Logger { return log.NewNopLogger() } } if setLogger == nil { setLogger = func(ctx context.Context, _ log.Logger) context.Context { return ctx } } tokenAcquirer, err := buildTokenAcquirer(&config.Auth) if err != nil { return nil, err } clientStore := &Clien...
{ if c.observer == nil || c.observer.ticker == nil { return nil } if !atomic.CompareAndSwapInt32(&c.observer.state, running, transitioning) { level.Error(c.logger).Log(xlog.MessageKey(), "Stop called when a listener was not in running state", "err", ErrListenerNotStopped) return ErrListenerNotRunning } c.o...
identifier_body
client.go
client. Listen ListenerConfig } type response struct { Body []byte ArgusErrorHeader string Code int } type Auth struct { JWT acquire.RemoteBearerTokenAcquirerOptions Basic string } type Items []model.Item type Client struct { client *http.Client auth acquire.Acquirer...
} if !atomic.CompareAndSwapInt32(&c.observer.state, stopped, transitioning) { level.Error(c.logger).Log(xlog.MessageKey(), "Start called when a listener was not in stopped state", "err", ErrListenerNotStopped)
random_line_split
client.go
.New("argus address is required") ErrBucketEmpty = errors.New("bucket name is required") ErrItemIDEmpty = errors.New("item ID is required") ErrItemDataEmpty = errors.New("data field in item is required") ErrUndefinedIntervalTicker = errors.New("interval ticker is nil. Can't listen ...
(options acquire.RemoteBearerTokenAcquirerOptions) bool { return len(options.AuthURL) < 1 || options.Buffer == 0 || options.Timeout == 0 } func buildTokenAcquirer(auth *Auth) (acquire.Acquirer, error) { if !isEmpty(auth.JWT) { return acquire.NewRemoteBearerTokenAcquirer(auth.JWT) } else if len(auth.Basic) > 0 { ...
isEmpty
identifier_name
client.go
.New("argus address is required") ErrBucketEmpty = errors.New("bucket name is required") ErrItemIDEmpty = errors.New("item ID is required") ErrItemDataEmpty = errors.New("data field in item is required") ErrUndefinedIntervalTicker = errors.New("interval ticker is nil. Can't listen ...
err := validateConfig(&config) if err != nil { return nil, err } if getLogger == nil { getLogger = func(ctx context.Context) log.Logger { return log.NewNopLogger() } } if setLogger == nil { setLogger = func(ctx context.Context, _ log.Logger) context.Context { return ctx } } tokenAcquirer, err ...
{ return nil, ErrNilMeasures }
conditional_block
shader.rs
use_program(&self) { unsafe { gl::UseProgram(self.gl_handle); } } pub fn is_bound(&self) -> bool { self.gl_handle == Shader::get_currently_bound_raw() } pub fn get_uniform_loc(&self, uniform: &str) -> i32 { use std::ffi::CString; unsafe { let cstr = CString::new(uniform).unwrap(); gl::GetUnif...
.collect::<Vec<_>>();
random_line_split
shader.rs
this please gl::BindAttribLocation(program, 0, b"position\0".as_ptr() as _); gl::LinkProgram(program); let mut status = 0i32; gl::GetProgramiv(program, gl::LINK_STATUS, &mut status); if status == 0 { let mut buf = [0u8; 1024]; let mut len = 0; gl::GetProgramInfoLog(program, buf.len() as _,...
pub fn attribute(mut self, name: &str, ty: &str) -> Self { if name == "position" { println!("Tried to overwrite 'position' attribute while building shader - ignoring"); return self } self.attributes.push(format!("{} {}", ty, name)); self } pub fn varying(mut self, name: &str, ty: &str) -> Self { se...
{ self.uniforms.push(format!("{} u_{}", ty, name)); self }
identifier_body
shader.rs
of this please gl::BindAttribLocation(program, 0, b"position\0".as_ptr() as _); gl::LinkProgram(program); let mut status = 0i32; gl::GetProgramiv(program, gl::LINK_STATUS, &mut status); if status == 0 { let mut buf = [0u8; 1024]; let mut len = 0; gl::GetProgramInfoLog(program, buf.len() as...
<V>(&self, uniform: &str, v: V) where V: Into<Vec3> { assert!(self.is_bound(), "Tried to set uniform '{}' on unbound shader", uniform); unsafe { let v = v.into(); gl::Uniform3f(self.get_uniform_loc(&uniform), v.x, v.y, v.z); } } pub fn set_uniform_vec4<V>(&self, uniform: &str, v: V) where V: Into<Vec4> ...
set_uniform_vec3
identifier_name
shader.rs
of this please gl::BindAttribLocation(program, 0, b"position\0".as_ptr() as _); gl::LinkProgram(program); let mut status = 0i32; gl::GetProgramiv(program, gl::LINK_STATUS, &mut status); if status == 0 { let mut buf = [0u8; 1024]; let mut len = 0; gl::GetProgramInfoLog(program, buf.len() as...
else { gl_position.push_str("vec4(position, 0.0, 1.0);\n"); } self.vertex_body = format!("{}{}", gl_position, self.vertex_body); let mut bodies = [&mut self.vertex_body, &mut self.fragment_body]; for (sh, body) in [&mut vert_src, &mut frag_src].iter_mut().zip(bodies.iter_mut()) { write!(sh, "\n{}\n", v...
{ gl_position.push_str("vec4(position, 1.0);\n"); }
conditional_block
console.js
of the GNU General Public License * as published by the Free Software Foundation; either version 2 * of the License, or any later version. * * Aloha Editor is distributed in the hope that it will be useful,
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1...
* but WITHOUT ANY WARRANTY; without even the implied warranty of
random_line_split