400# 定位defdraw():# 绘制画面(显示钩子)screen.clear()# 清屏screen.fill((128,0,128))# 填色alien.draw()# 绘制演员defupdate():# 更新数据(显示钩子)alien.left+=2# 右移ifalien.left>WIDTH:# 如果超出
Series 是一维带标签的数组,它可以包含任何数据类型。包括整数,字符串,浮点数,Python 对象等。Series 可以通过标签来定位。 DataFrame 是二维的带标签的数据结构。我们可以通过标签来定位数据。这是 NumPy 所没有的。 创建Series 数据类型 Pandas 中,Series 可以被看作由 1 列数据组成的数据集。 创建Series 语法:s...
"" self.new_shape = new_shape self.auto = auto self.scaleFill = scaleFill self.scaleup = scaleup self.stride = stride self.center = center # Put the image in the middle or top-left def __call__(self, labels=None, image=None): """Return updated labels and image with added borde...
masked_fill(~score_mask.bool(), 0.0) # [n, e] _, topk_idx = torch.topk( tmp_scores, k=self.top_k, dim=-1, sorted=False ) topk_weight = scores.gather(1, topk_idx) else: raise NotImplementedError( f"insupportable TopK function for MoE gating: {self.topk_method}" ...
#瓦登尔湖词频统计: import string path = 'D:/python3/Walden.txt' with open(path,'r',encoding= 'utf-8') as text: words = [raw_word.strip(string.punctuation).lower() for raw_word in text.read().split()] words_index = set(words) counts_dict = {index:words.count(index) for index...
2. Fill it with the test data (more on it below). 3. Add the test code to [infrared_test.c](applications/debug/unit_tests/infrared/infrared_test.c). 4. Update the [assets](assets/unit_tests/infrared) on your Flipper Zero and run the tests to see if they pass. ### Test data ...
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It also tries to fill in a gap between command-line based clients like tootstream (wherein it's very easy to miss part of a thread or reply to the wrong post because the user manages IDs) and heavy, push-centered experiences like the mastodon web interface (wherein automatic loading can...
masked_fill(~score_mask.bool(), 0.0) # [n, e] _, topk_idx = torch.topk( tmp_scores, k=self.top_k, dim=-1, sorted=False ) topk_weight = scores.gather(1, topk_idx) else: raise NotImplementedError( f"insupportable TopK function for MoE gating: {self.topk_method}" ...
包括整数,字符串,浮点数,Python 对象等。Series 可以通过标签来定位。 #DataFrame 是二维的带标签的数据结构。我们可以通过标签来定位数据。这是 NumPy 所没有的。创建Series 数据类型创建Series 语法:s = pd.Series(data, index=index),可以通过多种方式进行创建,以下介绍了 3 个常用方法。3.从列表创建 Series:...