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-rw-r--r--wqflask/utility/webqtlUtil.py918
1 files changed, 1 insertions, 917 deletions
diff --git a/wqflask/utility/webqtlUtil.py b/wqflask/utility/webqtlUtil.py
index 4fc978f5..83fa90b7 100644
--- a/wqflask/utility/webqtlUtil.py
+++ b/wqflask/utility/webqtlUtil.py
@@ -34,9 +34,6 @@ from htmlgen import HTMLgen2 as HT
from base import webqtlConfig
-
-
-
# NL, 07/27/2010. moved from webqtlForm.py
#Dict of Parents and F1 information, In the order of [F1, Mat, Pat]
ParInfo ={
@@ -64,173 +61,10 @@ ParInfo ={
'SXM':['SMF1', 'MSF1', 'Steptoe','Morex']
}
-
-# NL, 07/27/2010. moved from template.py
-IMGSTEP1 = HT.Image('/images/step1.gif', alt='STEP 1',border=0) #XZ, Only be used in inputPage.py
-IMGSTEP2 = HT.Image('/images/step2.gif', alt='STEP 2',border=0) #XZ, Only be used in inputPage.py
-IMGSTEP3 = HT.Image('/images/step3.gif', alt='STEP 3',border=0) #XZ, Only be used in inputPage.py
-IMGNEXT = HT.Image('/images/arrowdown.gif', alt='NEXT',border=0) #XZ, Only be used in inputPage.py
-
-IMGASC = HT.Image("/images/sortup.gif", border=0)
-IMGASCON = HT.Image("/images/sortupon.gif", border=0)
-IMGDESC = HT.Image("/images/sortdown.gif", border=0)
-IMGDESCON = HT.Image("/images/sortdownon.gif", border=0)
-
-"""
-IMGASC = HT.Image("/images/sortup_icon.gif", border=0)
-IMGASCON = HT.Image("/images/sortupon.gif", border=0)
-IMGDESC = HT.Image("/images/sortdown_icon.gif", border=0)
-IMGDESCON = HT.Image("/images/sortdownon.gif", border=0)
-IMG_UNSORTED = HT.Image("/images/unsorted_icon.gif", border=0)
-"""
-
-PROGRESSBAR = HT.Image('/images/waitAnima2.gif', alt='checkblue',align="middle",border=0)
-
#########################################
# Accessory Functions
#########################################
-def inverseCumul(p):
- #Coefficients in rational approximations.
- a = [-3.969683028665376e+01,2.209460984245205e+02,-2.759285104469687e+02,1.383577518672690e+02,-3.066479806614716e+01,2.506628277459239e+00]
-
- b = [-5.447609879822406e+01,1.615858368580409e+02,-1.556989798598866e+02,6.680131188771972e+01,-1.328068155288572e+01]
-
- c = [-7.784894002430293e-03,-3.223964580411365e-01,-2.400758277161838e+00,-2.549732539343734e+00,4.374664141464968e+00,2.938163982698783e+00]
-
- d = [7.784695709041462e-03,3.224671290700398e-01,2.445134137142996e+00,3.754408661907416e+00]
-
- #Define break-points.
-
- p_low = 0.02425
- p_high = 1 - p_low
-
- #Rational approximation for lower region.
-
- if p > 0 and p < p_low:
- q = sqrt(-2*log(p))
- x = (((((c[0]*q+c[1])*q+c[2])*q+c[3])*q+c[4])*q+c[5]) / ((((d[0]*q+d[1])*q+d[2])*q+d[3])*q+1)
-
-
- #Rational approximation for central region.
-
- elif p>= p_low and p <= p_high:
- q = p - 0.5
- r = q*q
- x = (((((a[0]*r+a[1])*r+a[2])*r+a[3])*r+a[4])*r+a[5])*q /(((((b[0]*r+b[1])*r+b[2])*r+b[3])*r+b[4])*r+1)
-
- #Rational approximation for upper region.
-
- elif p>p_high and p < 1:
- q = sqrt(-2*log(1-p))
- x = -(((((c[0]*q+c[1])*q+c[2])*q+c[3])*q+c[4])*q+c[5]) /((((d[0]*q+d[1])*q+d[2])*q+d[3])*q+1)
-
- else:
- return None
-
- if p>0 and p < 1:
- e = 0.5 * erfcc(-x/sqrt(2)) - p
- u = e * sqrt(2*pi) * exp(x*x/2)
- x = x - u/(1 + x*u/2)
- return x
- else:
- return None
-
-def erfcc(x):
- z=abs(x)
- t=1.0/(1.0+0.5*z)
- ans=t*exp(-z*z-1.26551223+t*(1.00002368+t*(0.37409196+t*(0.09678418+t*(-0.18628806+t*(0.27886807+t*(-1.13520398+t*(1.48851587+t*(-0.82215223+t*0.17087277)))))))))
- if x>=0.0:
- return ans
- else:
- return 2.0-ans
-
-def U(n):
- x=pow(0.5,1.0/n)
- m=[1-x]
- for i in range(2,n):
- a=(i-0.3175)/(n+0.365)
- m.append(a)
- m.append(x)
- return m
-
-def decodeEscape(str):
- a = str
- pattern = re.compile('(%[0-9A-Fa-f][0-9A-Fa-f])')
- match = pattern.findall(a)
- matched = []
- for item in match:
- if item not in matched:
- a = a.replace(item, '%c' % eval("0x"+item[-2:]))
- matched.append(item)
- return a
-
-def exportData(hddn, tdata, NP = None):
- for key in tdata.keys():
- _val, _var, _N = tdata[key].val, tdata[key].var, tdata[key].N
- if _val != None:
- hddn[key] = _val
- if _var != None:
- hddn['V'+key] = _var
- if NP and _N != None:
- hddn['N'+key] = _N
-
-def genShortStrainName(RISet='', input_strainName=''):
- #aliasStrainDict = {'C57BL/6J':'B6','DBA/2J':'D2'}
- strainName = input_strainName
- if RISet != 'AXBXA':
- if RISet == 'BXD300':
- this_RISet = 'BXD'
- elif RISet == 'BDF2-2005':
- this_RISet = 'CASE05_'
- else:
- this_RISet = RISet
- strainName = string.replace(strainName,this_RISet,'')
- strainName = string.replace(strainName,'CASE','')
- try:
- strainName = "%02d" % int(strainName)
- except:
- pass
- else:
- strainName = string.replace(strainName,'AXB','A')
- strainName = string.replace(strainName,'BXA','B')
- try:
- strainName = strainName[0] + "%02d" % int(strainName[1:])
- except:
- pass
- return strainName
-
-def toInt(in_str):
- "Converts an arbitrary string to an unsigned integer"
- start = -1
- end = -1
- for i, char in enumerate(in_str):
- if char >= '0' and char <= '9':
- if start < 0:
- start = i
- end = i+1
- else:
- if start >= 0:
- break
- if start < end:
- return int(in_str[start:end])
- else:
- return -1
-
-def transpose(m):
- 'transpose a matrix'
- n = len(m)
- return [[m[j][i] for i in range(len(m[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m[0]))]
-
-def asymTranspose(m):
- 'transpose a matrix'
- t = max(map(len, m))
- n = len(m)
- m2 = [["-"]]*n
- for i in range(n):
- m2[i] = m[i] + [""]*(t- len(m[i]))
- return [[m2[j][i] for i in range(len(m2[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m2[0]))]
-
def genRandStr(prefix = "", length=8, chars=string.letters+string.digits):
from random import choice
_str = prefix[:]
@@ -238,84 +72,6 @@ def genRandStr(prefix = "", length=8, chars=string.letters+string.digits):
_str += choice(chars)
return _str
-def generate_session():
- import sha
- return sha.new(str(time.time())).hexdigest()
-
-def cvt2Dict(x):
- tmp = {}
- for key in x.keys():
- tmp[key] = x[key]
- return tmp
-
-def dump_session(session_obj, filename):
- "It seems mod python can only cPickle most basic data type"
- import cPickle
- session_file = open(filename, 'wb')
- #try:
- # pass
- #except:
- # pass
- cPickle.dump(session_obj, session_file)
- session_file.close()
-
-def StringAsFloat(str):
- 'Converts string to float but catches any exception and returns None'
- try:
- return float(str)
- except:
- return None
-
-def IntAsFloat(str):
- 'Converts string to Int but catches any exception and returns None'
- try:
- return int(str)
- except:
- return None
-
-def FloatAsFloat(flt):
- 'Converts float to string but catches any exception and returns None'
- try:
- return float("%2.3f" % flt)
- except:
- return None
-
-def RemoveZero(flt):
- 'Converts string to float but catches any exception and returns None'
- try:
- if abs(flt) < 1e-6:
- return None
- else:
- return flt
- except:
- return None
-
-
-def SciFloat(d):
- 'Converts string to float but catches any exception and returns None'
-
- try:
- if abs(d) <= 1.0e-4:
- return "%1.2e" % d
- else:
- return "%1.5f" % d
- except:
- return None
-
-###To be removed
-def FloatList2String(lst):
- 'Converts float list to string but catches any exception and returns None'
- tt=''
- try:
- for item in lst:
- if item == None:
- tt += 'X '
- else:
- tt += '%f ' % item
- return tt
- except:
- return ""
-
def ListNotNull(lst):
'''Obsolete - Use built in function any (or all or whatever)
@@ -328,427 +84,6 @@ def ListNotNull(lst):
return 1
return None
-###To be removed
-def FileDataProcess(str):
- 'Remove the description text from the input file if theres any'
- i=0
- while i<len(str):
- if str[i]<'\x7f' and str[i]>'\x20':
- break
- else:
- i+=1
- str=str[i:]
- str=string.join(string.split(str,'\000'),'')
- i=string.find(str,"*****")
- if i>-1:
- return str[i+5:]
- else:
- return str
-
-def rank(a,lst,offset=0):
- """Calculate the integer rank of a number in an array, can be used to calculate p-value"""
- n = len(lst)
- if n == 2:
- if a <lst[0]:
- return offset
- elif a > lst[1]:
- return offset + 2
- else:
- return offset +1
- elif n == 1:
- if a <lst[0]:
- return offset
- else:
- return offset +1
- elif n== 0:
- return offset
- else:
- mid = n/2
- if a < lst[mid]:
- return rank(a,lst[:mid-1],offset)
- else:
- return rank(a,lst[mid:],offset+mid)
-
-def cmpScanResult(A,B):
- try:
- if A.LRS > B.LRS:
- return 1
- elif A.LRS == B.LRS:
- return 0
- else:
- return -1
- except:
- return 0
-
-
-def cmpScanResult2(A,B):
- try:
- if A.LRS < B.LRS:
- return 1
- elif A.LRS == B.LRS:
- return 0
- else:
- return -1
- except:
- return 0
-
-def cmpOrder(A,B):
- try:
- if A[1] < B[1]:
- return -1
- elif A[1] == B[1]:
- return 0
- else:
- return 1
- except:
- return 0
-
-def cmpOrder2(A,B):
- try:
- if A[-1] < B[-1]:
- return -1
- elif A[-1] == B[-1]:
- return 0
- else:
- return 1
- except:
- return 0
-
-
-
-
-def calRank(xVals, yVals, N): ### Zach Sloan, February 4 2010
- """
- Returns a ranked set of X and Y values. These are used when generating
- a Spearman scatterplot. Bear in mind that this sets values equal to each
- other as the same rank.
- """
- XX = []
- YY = []
- X = [0]*len(xVals)
- Y = [0]*len(yVals)
- j = 0
-
- for i in range(len(xVals)):
-
- if xVals[i] != None and yVals[i] != None:
- XX.append((j, xVals[i]))
- YY.append((j, yVals[i]))
- j = j + 1
-
- NN = len(XX)
-
- XX.sort(cmpOrder2)
- YY.sort(cmpOrder2)
-
- j = 1
- rank = 0.0
-
- while j < NN:
-
- if XX[j][1] != XX[j-1][1]:
- X[XX[j-1][0]] = j
- j = j+1
-
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (XX[jt][1] != XX[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- X[XX[ji][0]] = rank
- if (jt == NN-1):
- if (XX[jt][1] == XX[j-1][1]):
- X[XX[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if X[XX[NN-1][0]] == 0:
- X[XX[NN-1][0]] = NN
-
- j = 1
- rank = 0.0
-
- while j < NN:
-
- if YY[j][1] != YY[j-1][1]:
- Y[YY[j-1][0]] = j
- j = j+1
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (YY[jt][1] != YY[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- Y[YY[ji][0]] = rank
- if (jt == NN-1):
- if (YY[jt][1] == YY[j-1][1]):
- Y[YY[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if Y[YY[NN-1][0]] == 0:
- Y[YY[NN-1][0]] = NN
-
- return (X,Y)
-
-def calCorrelationRank(xVals,yVals,N):
- """
- Calculated Spearman Ranked Correlation. The algorithm works
- by setting all tied ranks to the average of those ranks (for
- example, if ranks 5-10 all have the same value, each will be set
- to rank 7.5).
- """
-
- XX = []
- YY = []
- j = 0
-
- for i in range(len(xVals)):
- if (xVals[i]!= None and yVals[i]!= None) and (xVals[i] != "None" and yVals[i] != "None"):
- XX.append((j,xVals[i]))
- YY.append((j,yVals[i]))
- j = j+1
-
- NN = len(XX)
- if NN <6:
- return (0.0,NN)
- XX.sort(cmpOrder2)
- YY.sort(cmpOrder2)
- X = [0]*NN
- Y = [0]*NN
-
- j = 1
- rank = 0.0
- t = 0.0
- sx = 0.0
-
- while j < NN:
-
- if XX[j][1] != XX[j-1][1]:
- X[XX[j-1][0]] = j
- j = j+1
-
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (XX[jt][1] != XX[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- X[XX[ji][0]] = rank
- t = jt-j
- sx = sx + (t*t*t-t)
- if (jt == NN-1):
- if (XX[jt][1] == XX[j-1][1]):
- X[XX[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if X[XX[NN-1][0]] == 0:
- X[XX[NN-1][0]] = NN
-
- j = 1
- rank = 0.0
- t = 0.0
- sy = 0.0
-
- while j < NN:
-
- if YY[j][1] != YY[j-1][1]:
- Y[YY[j-1][0]] = j
- j = j+1
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (YY[jt][1] != YY[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- Y[YY[ji][0]] = rank
- t = jt - j
- sy = sy + (t*t*t-t)
- if (jt == NN-1):
- if (YY[jt][1] == YY[j-1][1]):
- Y[YY[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if Y[YY[NN-1][0]] == 0:
- Y[YY[NN-1][0]] = NN
-
- D = 0.0
-
- for i in range(NN):
- D += (X[i]-Y[i])*(X[i]-Y[i])
-
- fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN))
-
- return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN)
-
-
-def calCorrelationRankText(dbdata,userdata,N): ### dcrowell = David Crowell, July 2008
- """Calculates correlation ranks with data formatted from the text file.
- dbdata, userdata are lists of strings. N is an int. Returns a float.
- Used by correlationPage"""
- XX = []
- YY = []
- j = 0
- for i in range(N):
- if (dbdata[i]!= None and userdata[i]!=None) and (dbdata[i]!= 'None' and userdata[i]!='None'):
- XX.append((j,float(dbdata[i])))
- YY.append((j,float(userdata[i])))
- j += 1
- NN = len(XX)
- if NN <6:
- return (0.0,NN)
- XX.sort(cmpOrder2)
- YY.sort(cmpOrder2)
- X = [0]*NN
- Y = [0]*NN
-
- j = 1
- rank = 0.0
- t = 0.0
- sx = 0.0
-
- while j < NN:
-
- if XX[j][1] != XX[j-1][1]:
- X[XX[j-1][0]] = j
- j = j+1
-
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (XX[jt][1] != XX[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- X[XX[ji][0]] = rank
- t = jt-j
- sx = sx + (t*t*t-t)
- if (jt == NN-1):
- if (XX[jt][1] == XX[j-1][1]):
- X[XX[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if X[XX[NN-1][0]] == 0:
- X[XX[NN-1][0]] = NN
-
- j = 1
- rank = 0.0
- t = 0.0
- sy = 0.0
-
- while j < NN:
-
- if YY[j][1] != YY[j-1][1]:
- Y[YY[j-1][0]] = j
- j = j+1
- else:
- jt = j+1
- ji = j
- for jt in range(j+1, NN):
- if (YY[jt][1] != YY[j-1][1]):
- break
- rank = 0.5*(j+jt)
- for ji in range(j-1, jt):
- Y[YY[ji][0]] = rank
- t = jt - j
- sy = sy + (t*t*t-t)
- if (jt == NN-1):
- if (YY[jt][1] == YY[j-1][1]):
- Y[YY[NN-1][0]] = rank
- j = jt+1
-
- if j == NN:
- if Y[YY[NN-1][0]] == 0:
- Y[YY[NN-1][0]] = NN
-
- D = 0.0
-
- for i in range(NN):
- D += (X[i]-Y[i])*(X[i]-Y[i])
-
- fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN))
-
- return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN)
-
-
-
-def calCorrelation(dbdata,userdata,N):
- X = []
- Y = []
- for i in range(N):
- if dbdata[i]!= None and userdata[i]!= None:
- X.append(dbdata[i])
- Y.append(userdata[i])
- NN = len(X)
- if NN <6:
- return (0.0,NN)
- sx = reduce(lambda x,y:x+y,X,0.0)
- sy = reduce(lambda x,y:x+y,Y,0.0)
- meanx = sx/NN
- meany = sy/NN
- xyd = 0.0
- sxd = 0.0
- syd = 0.0
- for i in range(NN):
- xyd += (X[i] - meanx)*(Y[i]-meany)
- sxd += (X[i] - meanx)*(X[i] - meanx)
- syd += (Y[i] - meany)*(Y[i] - meany)
- try:
- corr = xyd/(sqrt(sxd)*sqrt(syd))
- except:
- corr = 0
- return (corr,NN)
-
-def calCorrelationText(dbdata,userdata,N): ### dcrowell July 2008
- """Calculates correlation coefficients with values formatted from text files. dbdata, userdata are lists of strings. N is an int. Returns a float
- Used by correlationPage"""
- X = []
- Y = []
- for i in range(N):
- #if (dbdata[i]!= None and userdata[i]!= None) and (dbdata[i]!= 'None' and userdata[i]!= 'None'):
- # X.append(float(dbdata[i]))
- # Y.append(float(userdata[i]))
- if dbdata[i] == None or dbdata[i] == 'None' or userdata[i] == None or userdata[i] == 'None':
- continue
- else:
- X.append(float(dbdata[i]))
- Y.append(float(userdata[i]))
- NN = len(X)
- if NN <6:
- return (0.0,NN)
- sx = sum(X)
- sy = sum(Y)
- meanx = sx/float(NN)
- meany = sy/float(NN)
- xyd = 0.0
- sxd = 0.0
- syd = 0.0
- for i in range(NN):
- x1 = X[i]-meanx
- y1 = Y[i]-meany
- xyd += x1*y1
- sxd += x1**2
- syd += y1**2
- try:
- corr = xyd/(sqrt(sxd)*sqrt(syd))
- except:
- corr = 0
- return (corr,NN)
-
-
def readLineCSV(line): ### dcrowell July 2008
"""Parses a CSV string of text and returns a list containing each element as a string.
Used by correlationPage"""
@@ -757,45 +92,6 @@ def readLineCSV(line): ### dcrowell July 2008
returnList[0]=returnList[0][1:]
return returnList
-
-def cmpCorr(A,B):
- try:
- if abs(A[1]) < abs(B[1]):
- return 1
- elif abs(A[1]) == abs(B[1]):
- return 0
- else:
- return -1
- except:
- return 0
-
-def cmpLitCorr(A,B):
- try:
- if abs(A[3]) < abs(B[3]): return 1
- elif abs(A[3]) == abs(B[3]):
- if abs(A[1]) < abs(B[1]): return 1
- elif abs(A[1]) == abs(B[1]): return 0
- else: return -1
- else: return -1
- except:
- return 0
-
-def cmpPValue(A,B):
- try:
- if A.corrPValue < B.corrPValue:
- return -1
- elif A.corrPValue == B.corrPValue:
- if abs(A.corr) > abs(B.corr):
- return -1
- elif abs(A.corr) < abs(B.corr):
- return 1
- else:
- return 0
- else:
- return 1
- except:
- return 0
-
def cmpEigenValue(A,B):
try:
if A[0] > B[0]:
@@ -807,80 +103,6 @@ def cmpEigenValue(A,B):
except:
return 0
-
-def cmpLRSFull(A,B):
- try:
- if A[0] < B[0]:
- return -1
- elif A[0] == B[0]:
- return 0
- else:
- return 1
- except:
- return 0
-
-def cmpLRSInteract(A,B):
- try:
- if A[1] < B[1]:
- return -1
- elif A[1] == B[1]:
- return 0
- else:
- return 1
- except:
- return 0
-
-
-def cmpPos(A,B):
- try:
- try:
- AChr = int(A.chr)
- except:
- AChr = 20
- try:
- BChr = int(B.chr)
- except:
- BChr = 20
- if AChr > BChr:
- return 1
- elif AChr == BChr:
- if A.mb > B.mb:
- return 1
- if A.mb == B.mb:
- return 0
- else:
- return -1
- else:
- return -1
- except:
- return 0
-
-def cmpGenoPos(A,B):
- try:
- A1 = A.chr
- B1 = B.chr
- try:
- A1 = int(A1)
- except:
- A1 = 25
- try:
- B1 = int(B1)
- except:
- B1 = 25
- if A1 > B1:
- return 1
- elif A1 == B1:
- if A.mb > B.mb:
- return 1
- if A.mb == B.mb:
- return 0
- else:
- return -1
- else:
- return -1
- except:
- return 0
-
def hasAccessToConfidentialPhenotypeTrait(privilege, userName, authorized_users):
access_to_confidential_phenotype_trait = 0
if webqtlConfig.USERDICT[privilege] > webqtlConfig.USERDICT['user']:
@@ -889,142 +111,4 @@ def hasAccessToConfidentialPhenotypeTrait(privilege, userName, authorized_users)
AuthorizedUsersList=map(string.strip, string.split(authorized_users, ','))
if AuthorizedUsersList.__contains__(userName):
access_to_confidential_phenotype_trait = 1
- return access_to_confidential_phenotype_trait
-
-
-class VisualizeException(Exception):
- def __init__(self, message):
- self.message = message
- def __str__(self):
- return self.message
-
-# safeConvert : (string -> A) -> A -> A
-# to convert a string to type A, using the supplied default value
-# if the given conversion function doesn't work
-def safeConvert(f, value, default):
- try:
- return f(value)
- except:
- return default
-
-# safeFloat : string -> float -> float
-# to convert a string to a float safely
-def safeFloat(value, default):
- return safeConvert(float, value, default)
-
-# safeInt: string -> int -> int
-# to convert a string to an int safely
-def safeInt(value, default):
- return safeConvert(int, value, default)
-
-# safeString : string -> (arrayof string) -> string -> string
-# if a string is not in a list of strings to pick a default value
-# for that string
-def safeString(value, validChoices, default):
- if value in validChoices:
- return value
- else:
- return default
-
-# yesNoToInt: string -> int
-# map "yes" -> 1 and "no" -> 0
-def yesNoToInt(value):
- if value == "yes":
- return 1
- elif value == "no":
- return 0
- else:
- return None
-
-# IntToYesNo: int -> string
-# map 1 -> "yes" and 0 -> "no"
-def intToYesNo(value):
- if value == 1:
- return "yes"
- elif value == 0:
- return "no"
- else:
- return None
-
-def formatField(name):
- name = name.replace("_", " ")
- name = name.title()
- #name = name.replace("Mb Mm6", "Mb");
- return name.replace("Id", "ID")
-
-#XZ, 03/27/2009: This function is very specific.
-#It is used by AJAX_table.py, correlationPage.py and dataPage.py
-
-
-def genTableObj(tblobj=None, file="", sortby = ("", ""), tableID = "sortable", addIndex = "1", hiddenColumns=[]):
- header = tblobj['header']
- body = tblobj['body']
- field, order = sortby
-
- #ZAS 9/12/2011 - The hiddenColumns array needs to be converted into a string so they can be placed into the javascript of each up/down button
- hiddenColumnsString = ",".join(hiddenColumns)
-
- tbl = HT.TableLite(Class="collap b2", cellspacing=1, cellpadding=5)
-
- hiddenColumnIdx = [] #indices of columns to hide
- idx = -1
- last_idx = 0 #ZS: This is the index of the last item in the regular table header (without any extra parameters). It is used to determine the index of each extra parameter.
- for row in header:
- hr = HT.TR()
- for i, item in enumerate(row):
- if (item.text == '') or (item.text not in hiddenColumns):
- if item.sort and item.text:
- down = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=down&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGDESC)
- up = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=up&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGASC)
- if item.text == field:
- idx = item.idx
- last_idx = idx
- if order == 'up':
- up = IMGASCON
- elif order == 'down':
- down = IMGDESCON
- item.html.append(HT.Div(up, down, style="float: bottom;"))
- hr.append(item.html)
- else:
- hiddenColumnIdx.append(i)
- tbl.append(hr)
-
- for i, row in enumerate(body):
- for j, item in enumerate(row):
- if order == 'down':
- if (item.val == '' or item.val == 'x' or item.val == 'None'):
- item.val = 0
- if order == 'up':
- if (item.val == '' or item.val == 'x' or item.val == 'None'):
- item.val = 'zzzzz'
-
- if idx >= 0:
- if order == 'down':
- body.sort(lambda A, B: cmp(B[idx].val, A[idx].val), key=natsort_key)
- elif order == 'up':
- body.sort(lambda A, B: cmp(A[idx].val, B[idx].val), key=natsort_key)
- else:
- pass
-
- for i, row in enumerate(body):
- hr = HT.TR(Id = row[0].text)
- for j, item in enumerate(row):
- if (j not in hiddenColumnIdx):
- if j == 0:
- if addIndex == "1":
- item.html.contents = [i+1] + item.html.contents
- hr.append(item.html)
- tbl.append(hr)
-
- return tbl
-
-def natsort_key(string):
- r = []
- for c in string:
- try:
- c = int(c)
- try: r[-1] = r[-1] * 10 + c
- except: r.append(c)
- except:
- r.append(c)
- return r
+ return access_to_confidential_phenotype_trait \ No newline at end of file
generated by cgit v1.2.3 (git 2.44.0) at 2024-11-23 03:00:46 +0000