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# max

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```max(iterable[, key=func]) -> value
max(a, b, c, ...[, key=func]) -> value

With a single iterable argument, return its largest item.
With two or more arguments, return the largest argument.
```

```    def update(self, population):
best = max(population, key=lambda ind: ind.fitness)

for i, value in enumerate(best):
# Update the probability vector
```

```    def get_best_individual(self):
return max(self.population, key=fitness)

```

```    def get_largest(self, ind_val, chosen):
# The final list will have 1 entry per row/col.
if len(ind_val) == 0:
return chosen
largest = max(ind_val, key=lambda tup: abs(tup[2]))
```

```def dft_pitch(sig, size=2048, hop=None):
for blk in Stream(sig).blocks(size=size, hop=hop):
dft_data = rfft(blk)
idx, vmax = max(enumerate(dft_data),
key=lambda el: abs(el[1]) / (2 * el[0] / size + 1)
```

```def correct(word):
candidates = (known([word]) or known(edits1(word)) or known_edits2(word)
or [word])
return max(candidates, key=NWORDS.get)

```

```
# return the best direction
d = max(zip(ratings, dirs), key=lambda x: x[0])[1]
return {'op': 'turn', 'direction': DIRECT.index(d)}

```

```
print max(posteriors.keys(), key = lambda k: posteriors[k])

```

```                  lats_side4.min())
lat_min_buffered = lat_min - float(radius_of_influence) / R
lat_max = max(lats_side1.max(), lats_side2.max(), lats_side3.max(),
lats_side4.max())
lat_max_buffered = lat_max + float(radius_of_influence) / R

max_angle_s2 = max(abs(lats_side2.max()), abs(lats_side2.min()))
max_angle_s4 = max(abs(lats_side4.max()), abs(lats_side4.min()))
```

```			dateList.append(d)

latestDate = max(dateList,key=itemgetter(1))
# print 'MAX Date: ' + str(latestDate)
else:
```

```        hi = kwds.pop('hi',axis._length)
lo = kwds.pop('lo',0)
lo,hi=min(lo,hi),max(lo,hi)
drawAtLimit = kwds.pop('drawAtLimit',False)
if not scaleValue:
```
```    def _cxLine3d(self,x,start,end,_3d_dx,_3d_dy):
x = self._get_line_pos(x)
y0 = self._y + start
y1 = self._y + end
y0, y1 = min(y0,y1),max(y0,y1)
```
```    def _cyLine3d(self,y,start,end,_3d_dx,_3d_dy):
y = self._get_line_pos(y)
x0 = self._x + start
x1 = self._x + end
x0, x1 = min(x0,x1),max(x0,x1)
```
```    def configure(self, multiSeries,barWidth=None):
self._catCount = max(map(len,multiSeries))
```                    dst = OTV[1]-OTV[0]