index int64 0 50.7k | project_path stringclasses 279
values | completion_path stringlengths 57 199 | signature_postion stringlengths 3 11 | class_position stringlengths 3 11 | function_name stringlengths 1 62 | class_name stringlengths 0 55 | body_position stringlengths 3 11 | body_position_with_comments stringlengths 3 11 | masked_class stringlengths 14 8.32k | masked_class_with_comment stringlengths 14 8.32k | func_body stringlengths 9 6.72k | func_body_with_comment stringlengths 9 6.72k | len_func_body int64 1 643 | len_input int64 10 2.02k | len_output int64 4 1.9k | total int64 20 2.05k | file_code stringlengths 14 442k | file_code_with_comment stringlengths 14 442k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/cli.py | 22,23 | 1,103 | main | 23,94 | 23,94 | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
get_model_name_from_path,
load_pretrained_model,
process_images,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IN... | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
get_model_name_from_path,
load_pretrained_model,
process_images,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IN... | model_path = os.path.expanduser(args.model_path)
key_info["model_path"] = model_path
get_model_name_from_path(model_path)
tokenizer, model, image_processor, _ = load_pretrained_model(model_path)
conv = conv_templates["mm_default"].copy()
roles = conv.roles
image = load_image(args.image_fil... | model_path = os.path.expanduser(args.model_path)
key_info["model_path"] = model_path
get_model_name_from_path(model_path)
tokenizer, model, image_processor, _ = load_pretrained_model(model_path)
conv = conv_templates["mm_default"].copy()
roles = conv.roles
image = load_image(args.image_fil... | 152 | 313 | 772 | 1,085 | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
get_model_name_from_path,
load_pretrained_model,
process_images,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IN... | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
get_model_name_from_path,
load_pretrained_model,
process_images,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IN... | |
1 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/llava/conversation.py | 27,28 | 12,184 | get_prompt | Conversation | 28,56 | 28,56 | @dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[List[str]]
offset: int
sep_style: SeparatorStyle = SeparatorStyle.SINGLE
sep: str = "###"
sep2: str = None
version: str = "Unknown"
skip_nex... | @dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[List[str]]
offset: int
sep_style: SeparatorStyle = SeparatorStyle.SINGLE
sep: str = "###"
sep2: str = None
version: str = "Unknown"
skip_nex... | messages = self.messages
if len(messages) > 0 and type(messages[0][1]) is tuple:
messages = self.messages.copy()
init_role, init_msg = messages[0].copy()
init_msg = init_msg[0].replace("<image_placeholder>", "").strip()
if "mmtag" in self.version:
... | messages = self.messages
if len(messages) > 0 and type(messages[0][1]) is tuple:
messages = self.messages.copy()
init_role, init_msg = messages[0].copy()
init_msg = init_msg[0].replace("<image_placeholder>", "").strip()
if "mmtag" in self.version:
... | 103 | 1,467 | 355 | 1,822 | import dataclasses
from enum import Enum, auto
from typing import List
class SeparatorStyle(Enum):
"""Different separator style."""
SINGLE = auto()
@dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[List... | import dataclasses
from enum import Enum, auto
from typing import List
class SeparatorStyle(Enum):
"""Different separator style."""
SINGLE = auto()
@dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[List... |
2 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/llava/model/llava_llama.py | 137,145 | 39,164 | prepare_inputs_for_generation | LlavaLlamaForCausalLM | 145,164 | 145,164 | class LlavaLlamaForCausalLM(LlamaForCausalLM, LlavaMetaForCausalLM):
config_class = LlavaConfig
def __init__(self, config):
super(LlamaForCausalLM, self).__init__(config)
self.model = LlavaLlamaModel(config)
self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
... | class LlavaLlamaForCausalLM(LlamaForCausalLM, LlavaMetaForCausalLM):
config_class = LlavaConfig
def __init__(self, config):
super(LlamaForCausalLM, self).__init__(config)
self.model = LlavaLlamaModel(config)
self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
... | if past_key_values:
input_ids = input_ids[:, -1:]
# if `inputs_embeds` are passed, we only want to use them in the 1st generation step
if inputs_embeds is not None and past_key_values is None:
model_inputs = {"inputs_embeds": inputs_embeds}
else:
mode... | if past_key_values:
input_ids = input_ids[:, -1:]
# if `inputs_embeds` are passed, we only want to use them in the 1st generation step
if inputs_embeds is not None and past_key_values is None:
model_inputs = {"inputs_embeds": inputs_embeds}
else:
mode... | 58 | 1,128 | 224 | 1,352 | # Copyright 2023 Haotian Liu
#
# 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 agre... | # Copyright 2023 Haotian Liu
#
# 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 agre... |
3 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/llava/model/multimodal_projector/builder.py | 32,33 | 1,65 | build_vision_projector | 33,65 | 33,65 | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... | projector_type = getattr(config, "mm_projector_type", "linear")
if projector_type == "linear":
return nn.Linear(config.mm_hidden_size, config.hidden_size)
use_norm = False
if "_Norm" in projector_type:
use_norm = True
projector_type = projector_type.replace("_Norm", "")
mlp... | projector_type = getattr(config, "mm_projector_type", "linear")
if projector_type == "linear":
return nn.Linear(config.mm_hidden_size, config.hidden_size)
use_norm = False
if "_Norm" in projector_type:
use_norm = True
projector_type = projector_type.replace("_Norm", "")
mlp... | 76 | 245 | 432 | 677 | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... | |
4 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/llava/model/multimodal_projector/builder.py | 10,11 | 6,18 | forward | IdentityMap | 11,13 | 11,13 | class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
FILL_FUNC_BODY @property
def config(self):
return {"mm_projector_type": "identity"}
| class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
FILL_FUNC_BODY @property
def config(self):
return {"mm_projector_type": "identity"}
| return x
| return x
| 2 | 79 | 7 | 86 | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
FILL_FUNC_BODY @property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self, cha... | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
FILL_FUNC_BODY @property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self, cha... |
5 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/llava/model/multimodal_projector/builder.py | 27,28 | 18,32 | forward | SimpleResBlock | 28,32 | 28,32 | class SimpleResBlock(nn.Module):
def __init__(self, channels):
super().__init__()
self.pre_norm = nn.LayerNorm(channels)
self.proj = nn.Sequential(
nn.Linear(channels, channels), nn.GELU(), nn.Linear(channels, channels)
)
def forward(self, x):
FILL_FUNC_BODY | class SimpleResBlock(nn.Module):
def __init__(self, channels):
super().__init__()
self.pre_norm = nn.LayerNorm(channels)
self.proj = nn.Sequential(
nn.Linear(channels, channels), nn.GELU(), nn.Linear(channels, channels)
)
def forward(self, x):
FILL_FUNC_BODY | x = self.pre_norm(x)
return x + self.proj(x)
| x = self.pre_norm(x)
return x + self.proj(x)
| 7 | 111 | 29 | 140 | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... | import re
import torch.nn as nn
class IdentityMap(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, *args, **kwargs):
return x
@property
def config(self):
return {"mm_projector_type": "identity"}
class SimpleResBlock(nn.Module):
def __init__(self,... |
6 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/VL/single_inference.py | 27,28 | 1,111 | single_infer | 28,94 | 28,94 | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
expand2square,
get_model_name_from_path,
load_pretrained_model,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IND... | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
expand2square,
get_model_name_from_path,
load_pretrained_model,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IND... | disable_torch_init()
model_path = os.path.expanduser(args.model_path)
key_info["model_path"] = model_path
get_model_name_from_path(model_path)
tokenizer, model, image_processor, context_len = load_pretrained_model(model_path)
image_file = args.image_file
qs = args.question
qs = DEFAULT_... | disable_torch_init()
model_path = os.path.expanduser(args.model_path)
key_info["model_path"] = model_path
get_model_name_from_path(model_path)
tokenizer, model, image_processor, context_len = load_pretrained_model(model_path)
image_file = args.image_file
qs = args.question
qs = DEFAULT_... | 153 | 477 | 845 | 1,322 | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
expand2square,
get_model_name_from_path,
load_pretrained_model,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IND... | import argparse
import os
import torch
from llava.conversation import conv_templates
from llava.mm_utils import (
KeywordsStoppingCriteria,
expand2square,
get_model_name_from_path,
load_pretrained_model,
tokenizer_image_token,
)
from llava.model.constants import DEFAULT_IMAGE_TOKEN, IMAGE_TOKEN_IND... | |
8 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/demo/text_generation.py | 36,37 | 1,73 | main | 37,70 | 37,70 | import argparse
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
def parse_inputs():
parser = argparse.ArgumentParser(description="Yi-6B text generation demo")
parser.add_argument(
"--model",
type=str,
default="01-ai/Yi-6B",
help="pretrained model pat... | import argparse
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
def parse_inputs():
parser = argparse.ArgumentParser(description="Yi-6B text generation demo")
parser.add_argument(
"--model",
type=str,
default="01-ai/Yi-6B",
help="pretrained model pat... | print(args)
if args.cpu:
device_map = "cpu"
else:
device_map = "auto"
model = AutoModelForCausalLM.from_pretrained(
args.model, device_map=device_map, torch_dtype="auto"
)
tokenizer = AutoTokenizer.from_pretrained(args.model)
inputs = tokenizer(
args.prompt,... | print(args)
if args.cpu:
device_map = "cpu"
else:
device_map = "auto"
model = AutoModelForCausalLM.from_pretrained(
args.model, device_map=device_map, torch_dtype="auto"
)
tokenizer = AutoTokenizer.from_pretrained(args.model)
inputs = tokenizer(
args.prompt,... | 58 | 337 | 327 | 664 | import argparse
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
def parse_inputs():
parser = argparse.ArgumentParser(description="Yi-6B text generation demo")
parser.add_argument(
"--model",
type=str,
default="01-ai/Yi-6B",
help="pretrained model pat... | import argparse
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
def parse_inputs():
parser = argparse.ArgumentParser(description="Yi-6B text generation demo")
parser.add_argument(
"--model",
type=str,
default="01-ai/Yi-6B",
help="pretrained model pat... | |
9 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/data/raw_datasets.py | 77,78 | 41,81 | get_prompt_and_rejected | DahoasRmstaticDataset | 78,81 | 78,81 | class DahoasRmstaticDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name):
print("init DahoasRMStaicDataset")
super().__init__(output_path, seed, local_rank, dataset_name)
print("loading at dataset_name {}".format(dataset_name))
self.raw_datasets ... | class DahoasRmstaticDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name):
print("init DahoasRMStaicDataset")
super().__init__(output_path, seed, local_rank, dataset_name)
print("loading at dataset_name {}".format(dataset_name))
self.raw_datasets ... | return sample["prompt"] + sample["rejected"]
| return sample["prompt"] + sample["rejected"]
| 4 | 441 | 19 | 460 | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... |
10 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/data/raw_datasets.py | 105,106 | 81,134 | get_prompt | LocalJsonFileDataset | 106,111 | 106,111 | class LocalJsonFileDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name, chat_path):
super().__init__(output_path, seed, local_rank, dataset_name)
self.dataset_name = "local/jsonfile"
self.dataset_name_clean = "jsonfile"
self.raw_datasets = load_d... | class LocalJsonFileDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name, chat_path):
super().__init__(output_path, seed, local_rank, dataset_name)
self.dataset_name = "local/jsonfile"
self.dataset_name_clean = "jsonfile"
self.raw_datasets = load_d... | if sample["prompt"] is not None:
return " " + sample["prompt"]
return None
# The chosen response should be in the format of: " " + actual_response_sentence
| if sample["prompt"] is not None:
return " " + sample["prompt"]
return None
# The chosen response should be in the format of: " " + actual_response_sentence
| 26 | 539 | 55 | 594 | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... |
11 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/data/raw_datasets.py | 25,26 | 7,41 | get_chosen | PromptRawDataset | 26,30 | 26,30 | class PromptRawDataset(object):
def __init__(self, output_path, seed, local_rank, dataset_name):
print("init PromptRawDataset with dataname {}".format(dataset_name))
self.output_path = output_path
self.seed = seed
self.local_rank = local_rank
def get_train_data(self):
re... | class PromptRawDataset(object):
def __init__(self, output_path, seed, local_rank, dataset_name):
print("init PromptRawDataset with dataname {}".format(dataset_name))
self.output_path = output_path
self.seed = seed
self.local_rank = local_rank
def get_train_data(self):
re... | return
# The rejected response should be in the format of: " " + actual_response_sentence
# If the dataset does not have rejected response, return None
| return
# The rejected response should be in the format of: " " + actual_response_sentence
# If the dataset does not have rejected response, return None
| 26 | 265 | 44 | 309 | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... |
12 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/data/raw_datasets.py | 158,159 | 134,167 | get_prompt | YiDataset | 159,163 | 159,163 | class YiDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name, chat_path):
super().__init__(output_path, seed, local_rank, dataset_name)
print("data path is {}".format(chat_path))
self.dataset_name = "yi"
self.dataset_name_clean = "yi"
self... | class YiDataset(PromptRawDataset):
def __init__(self, output_path, seed, local_rank, dataset_name, chat_path):
super().__init__(output_path, seed, local_rank, dataset_name)
print("data path is {}".format(chat_path))
self.dataset_name = "yi"
self.dataset_name_clean = "yi"
self... | if sample["prompt"] is not None:
return " " + sample["prompt"]
return None
| if sample["prompt"] is not None:
return " " + sample["prompt"]
return None
| 12 | 344 | 32 | 376 | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... | # Part of the code is adapted from https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/raw_datasets.py
from datasets import load_dataset
# The template prompt dataset class that all new dataset porting needs to
# follow in order to have a unified API and unified ... |
13 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/model/model_utils.py | 7,16 | 1,60 | create_hf_model | 16,60 | 16,60 | import math
from transformers import AutoConfig
from transformers.deepspeed import HfDeepSpeedConfig
def create_hf_model(
model_class,
model_name_or_path,
tokenizer,
ds_config=None,
rlhf_training=False,
disable_dropout=False,
eval_mode=False,
):
FILL_FUNC_BODY | import math
from transformers import AutoConfig
from transformers.deepspeed import HfDeepSpeedConfig
def create_hf_model(
model_class,
model_name_or_path,
tokenizer,
ds_config=None,
rlhf_training=False,
disable_dropout=False,
eval_mode=False,
):
FILL_FUNC_BODY | model_config = AutoConfig.from_pretrained(
model_name_or_path, trust_remote_code=True
)
# print(model_config)
if disable_dropout:
model_config.dropout = 0.0
# Note: dschf is defined in function scope to avoid global effects
# https://huggingface.co/docs/transformers/main_classes/... | model_config = AutoConfig.from_pretrained(
model_name_or_path, trust_remote_code=True
)
# print(model_config)
if disable_dropout:
model_config.dropout = 0.0
# Note: dschf is defined in function scope to avoid global effects
# https://huggingface.co/docs/transformers/main_classes/... | 103 | 108 | 536 | 644 | import math
from transformers import AutoConfig
from transformers.deepspeed import HfDeepSpeedConfig
def create_hf_model(
model_class,
model_name_or_path,
tokenizer,
ds_config=None,
rlhf_training=False,
disable_dropout=False,
eval_mode=False,
):
FILL_FUNC_BODY | import math
from transformers import AutoConfig
from transformers.deepspeed import HfDeepSpeedConfig
def create_hf_model(
model_class,
model_name_or_path,
tokenizer,
ds_config=None,
rlhf_training=False,
disable_dropout=False,
eval_mode=False,
):
FILL_FUNC_BODY | |
14 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/finetune/utils/perf.py | 5,6 | 1,74 | print_throughput | 6,45 | 6,45 | import torch
# This function can be used to print throughput for Step 1 and 2 only
def print_throughput(hf_model, args, e2e_time, rank=0):
FILL_FUNC_BODYdef calculate_flops(checkpoint_activations_factor, batch_size, seq_length, hf_config):
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
# TODO... | import torch
# This function can be used to print throughput for Step 1 and 2 only
def print_throughput(hf_model, args, e2e_time, rank=0):
FILL_FUNC_BODYdef calculate_flops(checkpoint_activations_factor, batch_size, seq_length, hf_config):
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
# TODO... | if rank <= 0:
hf_config = hf_model.config
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
gpus_per_model = torch.distributed.get_world_size()
seq_length = args.max_seq_len
batch_size = args.per_device_train_batch_size
samples_per_second = batch_size /... | if rank <= 0:
hf_config = hf_model.config
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
gpus_per_model = torch.distributed.get_world_size()
seq_length = args.max_seq_len
batch_size = args.per_device_train_batch_size
samples_per_second = batch_size /... | 139 | 422 | 583 | 1,005 | import torch
# This function can be used to print throughput for Step 1 and 2 only
def print_throughput(hf_model, args, e2e_time, rank=0):
FILL_FUNC_BODYdef calculate_flops(checkpoint_activations_factor, batch_size, seq_length, hf_config):
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
# TODO... | import torch
# This function can be used to print throughput for Step 1 and 2 only
def print_throughput(hf_model, args, e2e_time, rank=0):
FILL_FUNC_BODYdef calculate_flops(checkpoint_activations_factor, batch_size, seq_length, hf_config):
num_layers, hidden_size, vocab_size = get_hf_configs(hf_config)
# TODO... | |
15 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/quantization/gptq/eval_quantized_model.py | 4,5 | 1,46 | run_quantization | 5,35 | 5,35 | from transformers import AutoModelForCausalLM, AutoTokenizer
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Run GPTQ quantized model")
parser.add_argument("--model", type=str, help="The quantized name")
parser.add_arg... | from transformers import AutoModelForCausalLM, AutoTokenizer
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Run GPTQ quantized model")
parser.add_argument("--model", type=str, help="The quantized name")
parser.add_arg... | # Load model
tokenizer = AutoTokenizer.from_pretrained(
args.model,
trust_remote_code=args.trust_remote_code,
local_files_only=True,
legacy=True,
use_fast=False,
)
model = AutoModelForCausalLM.from_pretrained(
args.model,
device_map="cuda:0",
... | # Load model
tokenizer = AutoTokenizer.from_pretrained(
args.model,
trust_remote_code=args.trust_remote_code,
local_files_only=True,
legacy=True,
use_fast=False,
)
model = AutoModelForCausalLM.from_pretrained(
args.model,
device_map="cuda:0",
... | 52 | 154 | 311 | 465 | from transformers import AutoModelForCausalLM, AutoTokenizer
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Run GPTQ quantized model")
parser.add_argument("--model", type=str, help="The quantized name")
parser.add_arg... | from transformers import AutoModelForCausalLM, AutoTokenizer
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Run GPTQ quantized model")
parser.add_argument("--model", type=str, help="The quantized name")
parser.add_arg... | |
16 | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi | /home/hieuvd/dung_repo/raw/stars_01/01-ai_Yi/Yi/quantization/gptq/quant_autogptq.py | 7,8 | 1,69 | run_quantization | 8,43 | 8,43 | import argparse
import logging
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GPTQConfig
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
logger = logging.getLogger()
logging.basicConfig(
format="%(asctime)s %(levelname)s [%(name)s] %(message)s",
... | import argparse
import logging
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GPTQConfig
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
logger = logging.getLogger()
logging.basicConfig(
format="%(asctime)s %(levelname)s [%(name)s] %(message)s",
... | # Load model
tokenizer = AutoTokenizer.from_pretrained(
args.model,
trust_remote_code=args.trust_remote_code,
local_files_only=True,
legacy=True,
use_fast=False,
)
model_config = AutoConfig.from_pretrained(
args.model,
trust_remote_code=args.trust... | # Load model
tokenizer = AutoTokenizer.from_pretrained(
args.model,
trust_remote_code=args.trust_remote_code,
local_files_only=True,
legacy=True,
use_fast=False,
)
model_config = AutoConfig.from_pretrained(
args.model,
trust_remote_code=args.trust... | 52 | 372 | 354 | 726 | import argparse
import logging
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GPTQConfig
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
logger = logging.getLogger()
logging.basicConfig(
format="%(asctime)s %(levelname)s [%(name)s] %(message)s",
... | import argparse
import logging
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GPTQConfig
def run_quantization(args):
FILL_FUNC_BODYif __name__ == "__main__":
logger = logging.getLogger()
logging.basicConfig(
format="%(asctime)s %(levelname)s [%(name)s] %(message)s",
... | |
20 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/docs/example.py | 4,5 | 3,21 | construct | SquareToCircle | 5,21 | 5,21 | class SquareToCircle(Scene):
def construct(self):
FILL_FUNC_BODY | class SquareToCircle(Scene):
def construct(self):
FILL_FUNC_BODY | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
self.play(ReplacementTransform(square, circle))
self.wait()
# Try typing the following lines
... | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
self.play(ReplacementTransform(square, circle))
self.wait()
# Try typing the following lines
... | 40 | 27 | 222 | 249 | from manimlib import *
class SquareToCircle(Scene):
def construct(self):
FILL_FUNC_BODYclass SquareToCircleEmbed(Scene):
def construct(self):
circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
self.add(circle)
self.wait()
sel... | from manimlib import *
class SquareToCircle(Scene):
def construct(self):
FILL_FUNC_BODYclass SquareToCircleEmbed(Scene):
def construct(self):
circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
self.add(circle)
self.wait()
sel... |
21 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/docs/example.py | 22,23 | 21,38 | construct | SquareToCircleEmbed | 23,38 | 23,38 | class SquareToCircleEmbed(Scene):
def construct(self):
FILL_FUNC_BODY | class SquareToCircleEmbed(Scene):
def construct(self):
FILL_FUNC_BODY | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
self.add(circle)
self.wait()
self.play(circle.animate.stretch(4, dim=0))
self.wait(1.5)
self.play(Rotate(circle, TAU / 4))
self.wait(1.5)
self.play(cir... | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
self.add(circle)
self.wait()
self.play(circle.animate.stretch(4, dim=0))
self.wait(1.5)
self.play(Rotate(circle, TAU / 4))
self.wait(1.5)
self.play(cir... | 27 | 30 | 215 | 245 | from manimlib import *
class SquareToCircle(Scene):
def construct(self):
circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
self.play(ReplacementTransform(squa... | from manimlib import *
class SquareToCircle(Scene):
def construct(self):
circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
self.play(ReplacementTransform(squa... |
22 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 72,73 | 71,115 | construct | AnimatingMethods | 73,115 | 73,115 | class AnimatingMethods(Scene):
def construct(self):
FILL_FUNC_BODY | class AnimatingMethods(Scene):
def construct(self):
FILL_FUNC_BODY | grid = Tex(R"\pi").get_grid(10, 10, height=4)
self.add(grid)
# You can animate the application of mobject methods with the
# ".animate" syntax:
self.play(grid.animate.shift(LEFT))
# Both of those will interpolate between the mobject's initial
# state and whateve... | grid = Tex(R"\pi").get_grid(10, 10, height=4)
self.add(grid)
# You can animate the application of mobject methods with the
# ".animate" syntax:
self.play(grid.animate.shift(LEFT))
# Both of those will interpolate between the mobject's initial
# state and whateve... | 151 | 27 | 506 | 533 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
23 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 712,713 | 695,736 | text_updater | ControlsExample | 713,726 | 713,726 | class ControlsExample(Scene):
drag_to_pan = False
def setup(self):
self.textbox = Textbox()
self.checkbox = Checkbox()
self.color_picker = ColorSliders()
self.panel = ControlPanel(
Text("Text", font_size=24), self.textbox, Line(),
Text("Show/Hide Text", f... | class ControlsExample(Scene):
drag_to_pan = False
def setup(self):
self.textbox = Textbox()
self.checkbox = Checkbox()
self.color_picker = ColorSliders()
self.panel = ControlPanel(
Text("Text", font_size=24), self.textbox, Line(),
Text("Show/Hide Text", f... | assert(isinstance(old_text, Text))
new_text = Text(self.textbox.get_value(), font_size=old_text.font_size)
# new_text.align_data_and_family(old_text)
new_text.move_to(old_text)
if self.checkbox.get_value():
new_text.set_fill(
... | assert(isinstance(old_text, Text))
new_text = Text(self.textbox.get_value(), font_size=old_text.font_size)
# new_text.align_data_and_family(old_text)
new_text.move_to(old_text)
if self.checkbox.get_value():
new_text.set_fill(
... | 18 | 274 | 178 | 452 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
24 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 342,343 | 341,420 | construct | CoordinateSystemExample | 343,420 | 343,420 | class CoordinateSystemExample(Scene):
def construct(self):
FILL_FUNC_BODY | class CoordinateSystemExample(Scene):
def construct(self):
FILL_FUNC_BODY | axes = Axes(
# x-axis ranges from -1 to 10, with a default step size of 1
x_range=(-1, 10),
# y-axis ranges from -2 to 2 with a step size of 0.5
y_range=(-2, 2, 0.5),
# The axes will be stretched so as to match the specified
# height and wi... | axes = Axes(
# x-axis ranges from -1 to 10, with a default step size of 1
x_range=(-1, 10),
# y-axis ranges from -2 to 2 with a step size of 0.5
y_range=(-2, 2, 0.5),
# The axes will be stretched so as to match the specified
# height and wi... | 285 | 27 | 998 | 1,025 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
25 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 421,422 | 420,501 | construct | GraphExample | 422,501 | 422,501 | class GraphExample(Scene):
def construct(self):
FILL_FUNC_BODY | class GraphExample(Scene):
def construct(self):
FILL_FUNC_BODY | axes = Axes((-3, 10), (-1, 8), height=6)
axes.add_coordinate_labels()
self.play(Write(axes, lag_ratio=0.01, run_time=1))
# Axes.get_graph will return the graph of a function
sin_graph = axes.get_graph(
lambda x: 2 * math.sin(x),
color=BLUE,
)
... | axes = Axes((-3, 10), (-1, 8), height=6)
axes.add_coordinate_labels()
self.play(Write(axes, lag_ratio=0.01, run_time=1))
# Axes.get_graph will return the graph of a function
sin_graph = axes.get_graph(
lambda x: 2 * math.sin(x),
color=BLUE,
)
... | 269 | 25 | 996 | 1,021 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
26 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 650,651 | 649,695 | construct | InteractiveDevelopment | 651,695 | 651,695 | class InteractiveDevelopment(Scene):
def construct(self):
FILL_FUNC_BODY | class InteractiveDevelopment(Scene):
def construct(self):
FILL_FUNC_BODY | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
# This opens an iPython terminal where you can keep writing
# lines as if they were part of this constru... | circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
circle.set_stroke(BLUE_E, width=4)
square = Square()
self.play(ShowCreation(square))
self.wait()
# This opens an iPython terminal where you can keep writing
# lines as if they were part of this constru... | 210 | 27 | 511 | 538 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
27 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 13,14 | 12,71 | construct | OpeningManimExample | 14,71 | 14,71 | class OpeningManimExample(Scene):
def construct(self):
FILL_FUNC_BODY | class OpeningManimExample(Scene):
def construct(self):
FILL_FUNC_BODY | intro_words = Text("""
The original motivation for manim was to
better illustrate mathematical functions
as transformations.
""")
intro_words.to_edge(UP)
self.play(Write(intro_words))
self.wait(2)
# Linear transform
grid = Num... | intro_words = Text("""
The original motivation for manim was to
better illustrate mathematical functions
as transformations.
""")
intro_words.to_edge(UP)
self.play(Write(intro_words))
self.wait(2)
# Linear transform
grid = Num... | 108 | 28 | 613 | 641 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
28 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 570,571 | 569,649 | construct | SurfaceExample | 571,649 | 571,649 | class SurfaceExample(ThreeDScene):
def construct(self):
FILL_FUNC_BODY | class SurfaceExample(ThreeDScene):
def construct(self):
FILL_FUNC_BODY | surface_text = Text("For 3d scenes, try using surfaces")
surface_text.fix_in_frame()
surface_text.to_edge(UP)
self.add(surface_text)
self.wait(0.1)
torus1 = Torus(r1=1, r2=1)
torus2 = Torus(r1=3, r2=1)
sphere = Sphere(radius=3, resolution=torus1.resolutio... | surface_text = Text("For 3d scenes, try using surfaces")
surface_text.fix_in_frame()
surface_text.to_edge(UP)
self.add(surface_text)
self.wait(0.1)
torus1 = Torus(r1=1, r2=1)
torus2 = Torus(r1=3, r2=1)
sphere = Sphere(radius=3, resolution=torus1.resolutio... | 225 | 28 | 1,021 | 1,049 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
29 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 502,503 | 501,569 | construct | TexAndNumbersExample | 503,569 | 503,569 | class TexAndNumbersExample(Scene):
def construct(self):
FILL_FUNC_BODY | class TexAndNumbersExample(Scene):
def construct(self):
FILL_FUNC_BODY | axes = Axes((-3, 3), (-3, 3), unit_size=1)
axes.to_edge(DOWN)
axes.add_coordinate_labels(font_size=16)
circle = Circle(radius=2)
circle.set_stroke(YELLOW, 3)
circle.move_to(axes.get_origin())
self.add(axes, circle)
# When numbers show up in tex, they can ... | axes = Axes((-3, 3), (-3, 3), unit_size=1)
axes.to_edge(DOWN)
axes.add_coordinate_labels(font_size=16)
circle = Circle(radius=2)
circle.set_stroke(YELLOW, 3)
circle.move_to(axes.get_origin())
self.add(axes, circle)
# When numbers show up in tex, they can ... | 203 | 29 | 822 | 851 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
30 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 229,230 | 228,281 | construct | TexIndexing | 230,281 | 230,281 | class TexIndexing(Scene):
def construct(self):
FILL_FUNC_BODY | class TexIndexing(Scene):
def construct(self):
FILL_FUNC_BODY | # You can index into Tex mobject (or other StringMobjects) by substrings
equation = Tex(R"e^{\pi i} = -1", font_size=144)
self.add(equation)
self.play(FlashAround(equation["e"]))
self.wait()
self.play(Indicate(equation[R"\pi"]))
self.wait()
self.play(Tran... | # You can index into Tex mobject (or other StringMobjects) by substrings
equation = Tex(R"e^{\pi i} = -1", font_size=144)
self.add(equation)
self.play(FlashAround(equation["e"]))
self.wait()
self.play(Indicate(equation[R"\pi"]))
self.wait()
self.play(Tran... | 192 | 27 | 691 | 718 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
31 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 157,158 | 156,228 | construct | TexTransformExample | 158,228 | 158,228 | class TexTransformExample(Scene):
def construct(self):
FILL_FUNC_BODY | class TexTransformExample(Scene):
def construct(self):
FILL_FUNC_BODY | # Tex to color map
t2c = {
"A": BLUE,
"B": TEAL,
"C": GREEN,
}
# Configuration to pass along to each Tex mobject
kw = dict(font_size=72, t2c=t2c)
lines = VGroup(
Tex("A^2 + B^2 = C^2", **kw),
Tex("A^2 = C^2 - B^2... | # Tex to color map
t2c = {
"A": BLUE,
"B": TEAL,
"C": GREEN,
}
# Configuration to pass along to each Tex mobject
kw = dict(font_size=72, t2c=t2c)
lines = VGroup(
Tex("A^2 + B^2 = C^2", **kw),
Tex("A^2 = C^2 - B^2... | 266 | 27 | 839 | 866 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
32 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 116,117 | 115,156 | construct | TextExample | 117,156 | 117,156 | class TextExample(Scene):
def construct(self):
FILL_FUNC_BODY | class TextExample(Scene):
def construct(self):
FILL_FUNC_BODY | # To run this scene properly, you should have "Consolas" font in your computer
# for full usage, you can see https://github.com/3b1b/manim/pull/680
text = Text("Here is a text", font="Consolas", font_size=90)
difference = Text(
"""
The most important difference be... | # To run this scene properly, you should have "Consolas" font in your computer
# for full usage, you can see https://github.com/3b1b/manim/pull/680
text = Text("Here is a text", font="Consolas", font_size=90)
difference = Text(
"""
The most important difference be... | 144 | 25 | 517 | 542 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
33 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/example_scenes.py | 282,283 | 281,341 | construct | UpdatersExample | 283,341 | 283,341 | class UpdatersExample(Scene):
def construct(self):
FILL_FUNC_BODY | class UpdatersExample(Scene):
def construct(self):
FILL_FUNC_BODY | square = Square()
square.set_fill(BLUE_E, 1)
# On all frames, the constructor Brace(square, UP) will
# be called, and the mobject brace will set its data to match
# that of the newly constructed object
brace = always_redraw(Brace, square, UP)
label = TexText("Wi... | square = Square()
square.set_fill(BLUE_E, 1)
# On all frames, the constructor Brace(square, UP) will
# be called, and the mobject brace will set its data to match
# that of the newly constructed object
brace = always_redraw(Brace, square, UP)
label = TexText("Wi... | 232 | 27 | 674 | 701 | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... | from manimlib import *
import numpy as np
# To watch one of these scenes, run the following:
# manimgl example_scenes.py OpeningManimExample
# Use -s to skip to the end and just save the final frame
# Use -w to write the animation to a file
# Use -o to write it to a file and open it once done
# Use -n <number> to skip... |
34 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/__main__.py | 9,10 | 1,30 | main | 10,28 | 10,28 | #!/usr/bin/env python
from manimlib import __version__
import manimlib.config
import manimlib.extract_scene
import manimlib.logger
import manimlib.utils.init_config
def main():
FILL_FUNC_BODYif __name__ == "__main__":
main()
| #!/usr/bin/env python
from manimlib import __version__
import manimlib.config
import manimlib.extract_scene
import manimlib.logger
import manimlib.utils.init_config
def main():
FILL_FUNC_BODYif __name__ == "__main__":
main()
| print(f"ManimGL \033[32mv{__version__}\033[0m")
args = manimlib.config.parse_cli()
if args.version and args.file is None:
return
if args.log_level:
manimlib.logger.log.setLevel(args.log_level)
if args.config:
manimlib.utils.init_config.init_customization()
else:
... | print(f"ManimGL \033[32mv{__version__}\033[0m")
args = manimlib.config.parse_cli()
if args.version and args.file is None:
return
if args.log_level:
manimlib.logger.log.setLevel(args.log_level)
if args.config:
manimlib.utils.init_config.init_customization()
else:
... | 30 | 84 | 185 | 269 | #!/usr/bin/env python
from manimlib import __version__
import manimlib.config
import manimlib.extract_scene
import manimlib.logger
import manimlib.utils.init_config
def main():
FILL_FUNC_BODYif __name__ == "__main__":
main()
| #!/usr/bin/env python
from manimlib import __version__
import manimlib.config
import manimlib.extract_scene
import manimlib.logger
import manimlib.utils.init_config
def main():
FILL_FUNC_BODYif __name__ == "__main__":
main()
| |
36 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/animation.py | 167,173 | 23,208 | get_sub_alpha | Animation | 173,184 | 173,184 | class Animation(object):
def __init__(
self,
mobject: Mobject,
run_time: float = DEFAULT_ANIMATION_RUN_TIME,
# Tuple of times, between which the animation will run
time_span: tuple[float, float] | None = None,
# If 0, the animation is applied to all submobjects at the... | class Animation(object):
def __init__(
self,
mobject: Mobject,
run_time: float = DEFAULT_ANIMATION_RUN_TIME,
# Tuple of times, between which the animation will run
time_span: tuple[float, float] | None = None,
# If 0, the animation is applied to all submobjects at the... | # TODO, make this more understanable, and/or combine
# its functionality with AnimationGroup's method
# build_animations_with_timings
lag_ratio = self.lag_ratio
full_length = (num_submobjects - 1) * lag_ratio + 1
value = alpha * full_length
lower = index * lag_rat... | # TODO, make this more understanable, and/or combine
# its functionality with AnimationGroup's method
# build_animations_with_timings
lag_ratio = self.lag_ratio
full_length = (num_submobjects - 1) * lag_ratio + 1
value = alpha * full_length
lower = index * lag_rat... | 51 | 1,863 | 146 | 2,009 | from __future__ import annotations
from copy import deepcopy
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Mobject
from manimlib.utils.rate_functions import smooth
from manimlib.utils.rate_functions import squish_rate_func
from manimlib.utils.simple_functions import clip
... | from __future__ import annotations
from copy import deepcopy
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Mobject
from manimlib.utils.rate_functions import smooth
from manimlib.utils.rate_functions import squish_rate_func
from manimlib.utils.simple_functions import clip
... |
37 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/composition.py | 84,85 | 29,126 | calculate_max_end_time | AnimationGroup | 85,92 | 85,92 | class AnimationGroup(Animation):
def __init__(
self,
*args: AnimationType | Iterable[AnimationType],
run_time: float = -1, # If negative, default to sum of inputed animation runtimes
lag_ratio: float = 0.0,
group: Optional[Mobject] = None,
group_type: Optional[type] ... | class AnimationGroup(Animation):
def __init__(
self,
*args: AnimationType | Iterable[AnimationType],
run_time: float = -1, # If negative, default to sum of inputed animation runtimes
lag_ratio: float = 0.0,
group: Optional[Mobject] = None,
group_type: Optional[type] ... | self.max_end_time = max(
(awt[2] for awt in self.anims_with_timings),
default=0,
)
if self.run_time < 0:
self.run_time = self.max_end_time
| self.max_end_time = max(
(awt[2] for awt in self.anims_with_timings),
default=0,
)
if self.run_time < 0:
self.run_time = self.max_end_time
| 17 | 1,013 | 76 | 1,089 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.animation import prepare_animation
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VG... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.animation import prepare_animation
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VG... |
38 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/composition.py | 135,136 | 126,158 | begin | Succession | 136,140 | 136,140 | class Succession(AnimationGroup):
def __init__(
self,
*animations: Animation,
lag_ratio: float = 1.0,
**kwargs
):
super().__init__(*animations, lag_ratio=lag_ratio, **kwargs)
def begin(self) -> None:
FILL_FUNC_BODY def finish(self) -> None:
self.active_ani... | class Succession(AnimationGroup):
def __init__(
self,
*animations: Animation,
lag_ratio: float = 1.0,
**kwargs
):
super().__init__(*animations, lag_ratio=lag_ratio, **kwargs)
def begin(self) -> None:
FILL_FUNC_BODY def finish(self) -> None:
self.active_ani... | assert(len(self.animations) > 0)
self.active_animation = self.animations[0]
self.active_animation.begin()
| assert(len(self.animations) > 0)
self.active_animation = self.animations[0]
self.active_animation.begin()
| 7 | 254 | 44 | 298 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.animation import prepare_animation
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VG... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.animation import prepare_animation
from manimlib.mobject.mobject import _AnimationBuilder
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VG... |
39 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 41,42 | 37,49 | create_starting_mobject | FadeIn | 42,49 | 42,49 | class FadeIn(Fade):
def create_target(self) -> Mobject:
return self.mobject.copy()
def create_starting_mobject(self) -> Mobject:
FILL_FUNC_BODY | class FadeIn(Fade):
def create_target(self) -> Mobject:
return self.mobject.copy()
def create_starting_mobject(self) -> Mobject:
FILL_FUNC_BODY | start = super().create_starting_mobject()
start.set_opacity(0)
start.scale(1.0 / self.scale_factor)
start.shift(-self.shift_vect)
return start
| start = super().create_starting_mobject()
start.set_opacity(0)
start.scale(1.0 / self.scale_factor)
start.shift(-self.shift_vect)
return start
| 10 | 62 | 66 | 128 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
40 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 65,66 | 49,73 | create_target | FadeOut | 66,73 | 66,73 | class FadeOut(Fade):
def __init__(
self,
mobject: Mobject,
shift: Vect3 = ORIGIN,
remover: bool = True,
final_alpha_value: float = 0.0, # Put it back in original state when done,
**kwargs
):
super().__init__(
mobject, shift,
remove... | class FadeOut(Fade):
def __init__(
self,
mobject: Mobject,
shift: Vect3 = ORIGIN,
remover: bool = True,
final_alpha_value: float = 0.0, # Put it back in original state when done,
**kwargs
):
super().__init__(
mobject, shift,
remove... | result = self.mobject.copy()
result.set_opacity(0)
result.shift(self.shift_vect)
result.scale(self.scale_factor)
return result
| result = self.mobject.copy()
result.set_opacity(0)
result.shift(self.shift_vect)
result.scale(self.scale_factor)
return result
| 8 | 149 | 59 | 208 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
41 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 109,110 | 93,140 | begin | FadeTransform | 110,119 | 110,119 | class FadeTransform(Transform):
def __init__(
self,
mobject: Mobject,
target_mobject: Mobject,
stretch: bool = True,
dim_to_match: int = 1,
**kwargs
):
self.to_add_on_completion = target_mobject
self.stretch = stretch
self.dim_to_match = di... | class FadeTransform(Transform):
def __init__(
self,
mobject: Mobject,
target_mobject: Mobject,
stretch: bool = True,
dim_to_match: int = 1,
**kwargs
):
self.to_add_on_completion = target_mobject
self.stretch = stretch
self.dim_to_match = di... | self.ending_mobject = self.mobject.copy()
Animation.begin(self)
# Both 'start' and 'end' consists of the source and target mobjects.
# At the start, the traget should be faded replacing the source,
# and at the end it should be the other way around.
start, end = self.star... | self.ending_mobject = self.mobject.copy()
Animation.begin(self)
# Both 'start' and 'end' consists of the source and target mobjects.
# At the start, the traget should be faded replacing the source,
# and at the end it should be the other way around.
start, end = self.star... | 55 | 405 | 152 | 557 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
42 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 145,146 | 140,150 | ghost_to | FadeTransformPieces | 146,150 | 146,150 | class FadeTransformPieces(FadeTransform):
def begin(self) -> None:
self.mobject[0].align_family(self.mobject[1])
super().begin()
def ghost_to(self, source: Mobject, target: Mobject) -> None:
FILL_FUNC_BODY | class FadeTransformPieces(FadeTransform):
def begin(self) -> None:
self.mobject[0].align_family(self.mobject[1])
super().begin()
def ghost_to(self, source: Mobject, target: Mobject) -> None:
FILL_FUNC_BODY | for sm0, sm1 in zip(source.get_family(), target.get_family()):
super().ghost_to(sm0, sm1)
| for sm0, sm1 in zip(source.get_family(), target.get_family()):
super().ghost_to(sm0, sm1)
| 8 | 84 | 45 | 129 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
43 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 161,167 | 150,175 | interpolate_submobject | VFadeIn | 167,175 | 167,175 | class VFadeIn(Animation):
"""
VFadeIn and VFadeOut only work for VMobjects,
"""
def __init__(self, vmobject: VMobject, suspend_mobject_updating: bool = False, **kwargs):
super().__init__(
vmobject,
suspend_mobject_updating=suspend_mobject_updating,
**kwargs
... | class VFadeIn(Animation):
"""
VFadeIn and VFadeOut only work for VMobjects,
"""
def __init__(self, vmobject: VMobject, suspend_mobject_updating: bool = False, **kwargs):
super().__init__(
vmobject,
suspend_mobject_updating=suspend_mobject_updating,
**kwargs
... | submob.set_stroke(
opacity=interpolate(0, start.get_stroke_opacity(), alpha)
)
submob.set_fill(
opacity=interpolate(0, start.get_fill_opacity(), alpha)
)
| submob.set_stroke(
opacity=interpolate(0, start.get_stroke_opacity(), alpha)
)
submob.set_fill(
opacity=interpolate(0, start.get_fill_opacity(), alpha)
)
| 10 | 155 | 80 | 235 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
44 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/fading.py | 190,196 | 175,199 | interpolate_submobject | VFadeOut | 196,199 | 196,199 | class VFadeOut(VFadeIn):
def __init__(
self,
vmobject: VMobject,
remover: bool = True,
final_alpha_value: float = 0.0,
**kwargs
):
super().__init__(
vmobject,
remover=remover,
final_alpha_value=final_alpha_value,
**k... | class VFadeOut(VFadeIn):
def __init__(
self,
vmobject: VMobject,
remover: bool = True,
final_alpha_value: float = 0.0,
**kwargs
):
super().__init__(
vmobject,
remover=remover,
final_alpha_value=final_alpha_value,
**k... | super().interpolate_submobject(submob, start, 1 - alpha)
| super().interpolate_submobject(submob, start, 1 - alpha)
| 5 | 155 | 28 | 183 | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... | from __future__ import annotations
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.transform import Transform
from manimlib.constants import ORIGIN
from manimlib.mobject.mobject import Group
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.mobj... |
45 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/growing.py | 31,32 | 16,40 | create_starting_mobject | GrowFromPoint | 32,40 | 32,40 | class GrowFromPoint(Transform):
def __init__(
self,
mobject: Mobject,
point: np.ndarray,
point_color: ManimColor = None,
**kwargs
):
self.point = point
self.point_color = point_color
super().__init__(mobject, **kwargs)
def create_target(self) ... | class GrowFromPoint(Transform):
def __init__(
self,
mobject: Mobject,
point: np.ndarray,
point_color: ManimColor = None,
**kwargs
):
self.point = point
self.point_color = point_color
super().__init__(mobject, **kwargs)
def create_target(self) ... | start = super().create_starting_mobject()
start.scale(0)
start.move_to(self.point)
if self.point_color is not None:
start.set_color(self.point_color)
return start
| start = super().create_starting_mobject()
start.scale(0)
start.move_to(self.point)
if self.point_color is not None:
start.set_color(self.point_color)
return start
| 13 | 140 | 74 | 214 | from __future__ import annotations
from manimlib.animation.transform import Transform
from manimlib.constants import PI
from typing import TYPE_CHECKING
if TYPE_CHECKING:
import numpy as np
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.mobject import Mobject
from manimlib.typing ... | from __future__ import annotations
from manimlib.animation.transform import Transform
from manimlib.constants import PI
from typing import TYPE_CHECKING
if TYPE_CHECKING:
import numpy as np
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.mobject import Mobject
from manimlib.typing ... |
46 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 347,348 | 333,356 | homotopy | ApplyWave | 348,353 | 348,353 | class ApplyWave(Homotopy):
def __init__(
self,
mobject: Mobject,
direction: np.ndarray = UP,
amplitude: float = 0.2,
run_time: float = 1.0,
**kwargs
):
left_x = mobject.get_left()[0]
right_x = mobject.get_right()[0]
vect = amplitude * dire... | class ApplyWave(Homotopy):
def __init__(
self,
mobject: Mobject,
direction: np.ndarray = UP,
amplitude: float = 0.2,
run_time: float = 1.0,
**kwargs
):
left_x = mobject.get_left()[0]
right_x = mobject.get_right()[0]
vect = amplitude * dire... | alpha = (x - left_x) / (right_x - left_x)
power = np.exp(2.0 * (alpha - 0.5))
nudge = there_and_back(t**power)
return np.array([x, y, z]) + nudge * vect
| alpha = (x - left_x) / (right_x - left_x)
power = np.exp(2.0 * (alpha - 0.5))
nudge = there_and_back(t**power)
return np.array([x, y, z]) + nudge * vect
| 27 | 155 | 81 | 236 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
47 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 137,138 | 95,144 | create_line_anims | Flash | 138,144 | 138,144 | class Flash(AnimationGroup):
def __init__(
self,
point: np.ndarray | Mobject,
color: ManimColor = YELLOW,
line_length: float = 0.2,
num_lines: int = 12,
flash_radius: float = 0.3,
line_stroke_width: float = 3.0,
run_time: float = 1.0,
**kwargs
... | class Flash(AnimationGroup):
def __init__(
self,
point: np.ndarray | Mobject,
color: ManimColor = YELLOW,
line_length: float = 0.2,
num_lines: int = 12,
flash_radius: float = 0.3,
line_stroke_width: float = 3.0,
run_time: float = 1.0,
**kwargs
... | return [
ShowCreationThenDestruction(line)
for line in self.lines
]
| return [
ShowCreationThenDestruction(line)
for line in self.lines
]
| 8 | 442 | 34 | 476 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
48 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 276,277 | 256,280 | get_path | FlashAround | 277,280 | 277,280 | class FlashAround(VShowPassingFlash):
def __init__(
self,
mobject: Mobject,
time_width: float = 1.0,
taper_width: float = 0.0,
stroke_width: float = 4.0,
color: ManimColor = YELLOW,
buff: float = SMALL_BUFF,
n_inserted_curves: int = 100,
**kwar... | class FlashAround(VShowPassingFlash):
def __init__(
self,
mobject: Mobject,
time_width: float = 1.0,
taper_width: float = 0.0,
stroke_width: float = 4.0,
color: ManimColor = YELLOW,
buff: float = SMALL_BUFF,
n_inserted_curves: int = 100,
**kwar... | return SurroundingRectangle(mobject, buff=buff)
| return SurroundingRectangle(mobject, buff=buff)
| 3 | 278 | 21 | 299 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
49 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 281,282 | 280,285 | get_path | FlashUnder | 282,285 | 282,285 | class FlashUnder(FlashAround):
def get_path(self, mobject: Mobject, buff: float) -> Underline:
FILL_FUNC_BODY | class FlashUnder(FlashAround):
def get_path(self, mobject: Mobject, buff: float) -> Underline:
FILL_FUNC_BODY | return Underline(mobject, buff=buff, stretch_factor=1.0)
| return Underline(mobject, buff=buff, stretch_factor=1.0)
| 4 | 44 | 26 | 70 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
50 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 66,67 | 43,75 | create_starting_mobject | FocusOn | 67,75 | 67,75 | class FocusOn(Transform):
def __init__(
self,
focus_point: np.ndarray | Mobject,
opacity: float = 0.2,
color: ManimColor = GREY,
run_time: float = 2,
remover: bool = True,
**kwargs
):
self.focus_point = focus_point
self.opacity = opacity
... | class FocusOn(Transform):
def __init__(
self,
focus_point: np.ndarray | Mobject,
opacity: float = 0.2,
color: ManimColor = GREY,
run_time: float = 2,
remover: bool = True,
**kwargs
):
self.focus_point = focus_point
self.opacity = opacity
... | return Dot(
radius=FRAME_X_RADIUS + FRAME_Y_RADIUS,
stroke_width=0,
fill_color=self.color,
fill_opacity=0,
)
| return Dot(
radius=FRAME_X_RADIUS + FRAME_Y_RADIUS,
stroke_width=0,
fill_color=self.color,
fill_opacity=0,
)
| 9 | 271 | 70 | 341 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
51 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 88,89 | 75,95 | create_target | Indicate | 89,95 | 89,95 | class Indicate(Transform):
def __init__(
self,
mobject: Mobject,
scale_factor: float = 1.2,
color: ManimColor = YELLOW,
rate_func: Callable[[float], float] = there_and_back,
**kwargs
):
self.scale_factor = scale_factor
self.color = color
su... | class Indicate(Transform):
def __init__(
self,
mobject: Mobject,
scale_factor: float = 1.2,
color: ManimColor = YELLOW,
rate_func: Callable[[float], float] = there_and_back,
**kwargs
):
self.scale_factor = scale_factor
self.color = color
su... | target = self.mobject.copy()
target.scale(self.scale_factor)
target.set_color(self.color)
return target
| target = self.mobject.copy()
target.scale(self.scale_factor)
target.set_color(self.color)
return target
| 7 | 142 | 47 | 189 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
52 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 182,183 | 167,196 | get_bounds | ShowPassingFlash | 183,190 | 183,190 | class ShowPassingFlash(ShowPartial):
def __init__(
self,
mobject: Mobject,
time_width: float = 0.1,
remover: bool = True,
**kwargs
):
self.time_width = time_width
super().__init__(
mobject,
remover=remover,
**kwargs
... | class ShowPassingFlash(ShowPartial):
def __init__(
self,
mobject: Mobject,
time_width: float = 0.1,
remover: bool = True,
**kwargs
):
self.time_width = time_width
super().__init__(
mobject,
remover=remover,
**kwargs
... | tw = self.time_width
upper = interpolate(0, 1 + tw, alpha)
lower = upper - tw
upper = min(upper, 1)
lower = max(lower, 0)
return (lower, upper)
| tw = self.time_width
upper = interpolate(0, 1 + tw, alpha)
lower = upper - tw
upper = min(upper, 1)
lower = max(lower, 0)
return (lower, upper)
| 26 | 194 | 70 | 264 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
53 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 402,403 | 398,409 | create_target | TurnInsideOut | 403,409 | 403,409 | class TurnInsideOut(Transform):
def __init__(self, mobject: Mobject, path_arc: float = 90 * DEGREES, **kwargs):
super().__init__(mobject, path_arc=path_arc, **kwargs)
def create_target(self) -> Mobject:
FILL_FUNC_BODY | class TurnInsideOut(Transform):
def __init__(self, mobject: Mobject, path_arc: float = 90 * DEGREES, **kwargs):
super().__init__(mobject, path_arc=path_arc, **kwargs)
def create_target(self) -> Mobject:
FILL_FUNC_BODY | result = self.mobject.copy().reverse_points()
if isinstance(result, VMobject):
result.refresh_triangulation()
return result
| result = self.mobject.copy().reverse_points()
if isinstance(result, VMobject):
result.refresh_triangulation()
return result
| 9 | 86 | 50 | 136 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
54 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 210,211 | 196,256 | taper_kernel | VShowPassingFlash | 211,217 | 211,217 | class VShowPassingFlash(Animation):
def __init__(
self,
vmobject: VMobject,
time_width: float = 0.3,
taper_width: float = 0.05,
remover: bool = True,
**kwargs
):
self.time_width = time_width
self.taper_width = taper_width
super().__init__(v... | class VShowPassingFlash(Animation):
def __init__(
self,
vmobject: VMobject,
time_width: float = 0.3,
taper_width: float = 0.05,
remover: bool = True,
**kwargs
):
self.time_width = time_width
self.taper_width = taper_width
super().__init__(v... | if x < self.taper_width:
return x
elif x > 1 - self.taper_width:
return 1.0 - x
return 1.0
| if x < self.taper_width:
return x
elif x > 1 - self.taper_width:
return 1.0 - x
return 1.0
| 18 | 580 | 53 | 633 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
55 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/indication.py | 381,387 | 356,398 | interpolate_submobject | WiggleOutThenIn | 387,398 | 387,398 | class WiggleOutThenIn(Animation):
def __init__(
self,
mobject: Mobject,
scale_value: float = 1.1,
rotation_angle: float = 0.01 * TAU,
n_wiggles: int = 6,
scale_about_point: np.ndarray | None = None,
rotate_about_point: np.ndarray | None = None,
run_tim... | class WiggleOutThenIn(Animation):
def __init__(
self,
mobject: Mobject,
scale_value: float = 1.1,
rotation_angle: float = 0.01 * TAU,
n_wiggles: int = 6,
scale_about_point: np.ndarray | None = None,
rotate_about_point: np.ndarray | None = None,
run_tim... | submobject.match_points(starting_sumobject)
submobject.scale(
interpolate(1, self.scale_value, there_and_back(alpha)),
about_point=self.get_scale_about_point()
)
submobject.rotate(
wiggle(alpha, self.n_wiggles) * self.rotation_angle,
about_... | submobject.match_points(starting_sumobject)
submobject.scale(
interpolate(1, self.scale_value, there_and_back(alpha)),
about_point=self.get_scale_about_point()
)
submobject.rotate(
wiggle(alpha, self.n_wiggles) * self.rotation_angle,
about_... | 14 | 351 | 130 | 481 | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... | from __future__ import annotations
import math
from os import remove
import numpy as np
from manimlib.animation.animation import Animation
from manimlib.animation.composition import AnimationGroup
from manimlib.animation.composition import Succession
from manimlib.animation.creation import ShowCreation
from manimlib.... |
56 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/numbers.py | 31,32 | 14,37 | interpolate_mobject | ChangingDecimal | 32,37 | 32,37 | class ChangingDecimal(Animation):
def __init__(
self,
decimal_mob: DecimalNumber,
number_update_func: Callable[[float], float],
suspend_mobject_updating: bool = False,
**kwargs
):
assert(isinstance(decimal_mob, DecimalNumber))
self.number_update_func = num... | class ChangingDecimal(Animation):
def __init__(
self,
decimal_mob: DecimalNumber,
number_update_func: Callable[[float], float],
suspend_mobject_updating: bool = False,
**kwargs
):
assert(isinstance(decimal_mob, DecimalNumber))
self.number_update_func = num... | self.mobject.set_value(
self.number_update_func(alpha)
)
| self.mobject.set_value(
self.number_update_func(alpha)
)
| 3 | 183 | 33 | 216 | from __future__ import annotations
from manimlib.animation.animation import Animation
from manimlib.mobject.numbers import DecimalNumber
from manimlib.utils.bezier import interpolate
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
... | from __future__ import annotations
from manimlib.animation.animation import Animation
from manimlib.mobject.numbers import DecimalNumber
from manimlib.utils.bezier import interpolate
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
... |
57 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/rotation.py | 42,43 | 17,58 | interpolate_mobject | Rotating | 43,58 | 43,58 | class Rotating(Animation):
def __init__(
self,
mobject: Mobject,
angle: float = TAU,
axis: np.ndarray = OUT,
about_point: np.ndarray | None = None,
about_edge: np.ndarray | None = None,
run_time: float = 5.0,
rate_func: Callable[[float], float] = linea... | class Rotating(Animation):
def __init__(
self,
mobject: Mobject,
angle: float = TAU,
axis: np.ndarray = OUT,
about_point: np.ndarray | None = None,
about_edge: np.ndarray | None = None,
run_time: float = 5.0,
rate_func: Callable[[float], float] = linea... | pairs = zip(
self.mobject.family_members_with_points(),
self.starting_mobject.family_members_with_points(),
)
for sm1, sm2 in pairs:
for key in sm1.pointlike_data_keys:
sm1.data[key][:] = sm2.data[key]
self.mobject.rotate(
s... | pairs = zip(
self.mobject.family_members_with_points(),
self.starting_mobject.family_members_with_points(),
)
for sm1, sm2 in pairs:
for key in sm1.pointlike_data_keys:
sm1.data[key][:] = sm2.data[key]
self.mobject.rotate(
s... | 26 | 252 | 163 | 415 | from __future__ import annotations
from manimlib.animation.animation import Animation
from manimlib.constants import ORIGIN, OUT
from manimlib.constants import PI, TAU
from manimlib.utils.rate_functions import linear
from manimlib.utils.rate_functions import smooth
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... | from __future__ import annotations
from manimlib.animation.animation import Animation
from manimlib.constants import ORIGIN, OUT
from manimlib.constants import PI, TAU
from manimlib.utils.rate_functions import linear
from manimlib.utils.rate_functions import smooth
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... |
58 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/update.py | 63,64 | 52,67 | interpolate_mobject | MaintainPositionRelativeTo | 64,67 | 64,67 | class MaintainPositionRelativeTo(Animation):
def __init__(
self,
mobject: Mobject,
tracked_mobject: Mobject,
**kwargs
):
self.tracked_mobject = tracked_mobject
self.diff = mobject.get_center() - tracked_mobject.get_center()
super().__init__(mobject, **kwar... | class MaintainPositionRelativeTo(Animation):
def __init__(
self,
mobject: Mobject,
tracked_mobject: Mobject,
**kwargs
):
self.tracked_mobject = tracked_mobject
self.diff = mobject.get_center() - tracked_mobject.get_center()
super().__init__(mobject, **kwar... | target = self.tracked_mobject.get_center()
location = self.mobject.get_center()
self.mobject.shift(target - location + self.diff)
| target = self.tracked_mobject.get_center()
location = self.mobject.get_center()
self.mobject.shift(target - location + self.diff)
| 11 | 130 | 49 | 179 | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... |
59 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/update.py | 48,49 | 37,52 | interpolate_mobject | UpdateFromAlphaFunc | 49,52 | 49,52 | class UpdateFromAlphaFunc(Animation):
def __init__(
self,
mobject: Mobject,
update_function: Callable[[Mobject, float], Mobject | None],
suspend_mobject_updating: bool = False,
**kwargs
):
self.update_function = update_function
super().__init__(mobject, su... | class UpdateFromAlphaFunc(Animation):
def __init__(
self,
mobject: Mobject,
update_function: Callable[[Mobject, float], Mobject | None],
suspend_mobject_updating: bool = False,
**kwargs
):
self.update_function = update_function
super().__init__(mobject, su... | self.update_function(self.mobject, alpha)
| self.update_function(self.mobject, alpha)
| 2 | 143 | 20 | 163 | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... |
60 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/animation/update.py | 33,34 | 13,37 | interpolate_mobject | UpdateFromFunc | 34,37 | 34,37 | class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumably
to be used when the state of one mobject is dependent
on another simultaneously animated mobject
"""
def __init__(
self,
mobject: Mobject,
update_function: Callable[[Mobject], Mobje... | class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumably
to be used when the state of one mobject is dependent
on another simultaneously animated mobject
"""
def __init__(
self,
mobject: Mobject,
update_function: Callable[[Mobject], Mobje... | self.update_function(self.mobject)
| self.update_function(self.mobject)
| 1 | 190 | 18 | 208 | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... | from __future__ import annotations
from manimlib.animation.animation import Animation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
from manimlib.mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
update_function of the form func(mobject), presumab... |
62 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/event_handler/event_dispatcher.py | 37,38 | 9,96 | dispatch | EventDispatcher | 38,80 | 38,80 | class EventDispatcher(object):
def __init__(self):
self.event_listners: dict[
EventType, list[EventListener]
] = {
event_type: []
for event_type in EventType
}
self.mouse_point = np.array((0., 0., 0.))
self.mouse_drag_point = np.array((0., ... | class EventDispatcher(object):
def __init__(self):
self.event_listners: dict[
EventType, list[EventListener]
] = {
event_type: []
for event_type in EventType
}
self.mouse_point = np.array((0., 0., 0.))
self.mouse_drag_point = np.array((0., ... | if event_type == EventType.MouseMotionEvent:
self.mouse_point = event_data["point"]
elif event_type == EventType.MouseDragEvent:
self.mouse_drag_point = event_data["point"]
elif event_type == EventType.KeyPressEvent:
self.pressed_keys.add(event_data["symbol"])... | if event_type == EventType.MouseMotionEvent:
self.mouse_point = event_data["point"]
elif event_type == EventType.MouseDragEvent:
self.mouse_drag_point = event_data["point"]
elif event_type == EventType.KeyPressEvent:
self.pressed_keys.add(event_data["symbol"])... | 125 | 523 | 578 | 1,101 | from __future__ import annotations
import numpy as np
from manimlib.event_handler.event_listner import EventListener
from manimlib.event_handler.event_type import EventType
class EventDispatcher(object):
def __init__(self):
self.event_listners: dict[
EventType, list[EventListener]
] ... | from __future__ import annotations
import numpy as np
from manimlib.event_handler.event_listner import EventListener
from manimlib.event_handler.event_type import EventType
class EventDispatcher(object):
def __init__(self):
self.event_listners: dict[
EventType, list[EventListener]
] ... |
63 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/extract_scene.py | 126,127 | 1,136 | main | 127,136 | 127,136 | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
exec(get_custom_config()["unive... | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
exec(get_custom_config()["unive... | module = config["module"]
scene_config = get_scene_config(config)
if module is None:
# If no module was passed in, just play the blank scene
return [BlankScene(**scene_config)]
all_scene_classes = get_scene_classes_from_module(module)
scenes = get_scenes_to_render(all_scene_classes,... | module = config["module"]
scene_config = get_scene_config(config)
if module is None:
# If no module was passed in, just play the blank scene
return [BlankScene(**scene_config)]
all_scene_classes = get_scene_classes_from_module(module)
scenes = get_scenes_to_render(all_scene_classes,... | 34 | 1,298 | 122 | 1,420 | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
exec(get_custom_config()["unive... | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
exec(get_custom_config()["unive... | |
64 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/extract_scene.py | 12,13 | 11,17 | construct | BlankScene | 13,17 | 13,17 | class BlankScene(InteractiveScene):
def construct(self):
FILL_FUNC_BODY | class BlankScene(InteractiveScene):
def construct(self):
FILL_FUNC_BODY | exec(get_custom_config()["universal_import_line"])
self.embed()
| exec(get_custom_config()["universal_import_line"])
self.embed()
| 2 | 29 | 31 | 60 | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
FILL_FUNC_BODYdef is_child_scene(obj, m... | import copy
import inspect
import sys
from manimlib.config import get_custom_config
from manimlib.logger import log
from manimlib.scene.interactive_scene import InteractiveScene
from manimlib.scene.scene import Scene
class BlankScene(InteractiveScene):
def construct(self):
FILL_FUNC_BODYdef is_child_scene(obj, m... |
65 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/boolean_ops.py | 26,30 | 1,122 | _convert_skia_path_to_vmobject | 30,52 | 30,52 | from __future__ import annotations
import numpy as np
import pathops
from manimlib.mobject.types.vectorized_mobject import VMobject
# Boolean operations between 2D mobjects
# Borrowed from from https://github.com/ManimCommunity/manim/
def _convert_vmobject_to_skia_path(vmobject: VMobject) -> pathops.Path:
path... | from __future__ import annotations
import numpy as np
import pathops
from manimlib.mobject.types.vectorized_mobject import VMobject
# Boolean operations between 2D mobjects
# Borrowed from from https://github.com/ManimCommunity/manim/
def _convert_vmobject_to_skia_path(vmobject: VMobject) -> pathops.Path:
path... | PathVerb = pathops.PathVerb
current_path_start = np.array([0.0, 0.0, 0.0])
for path_verb, points in path:
if path_verb == PathVerb.CLOSE:
vmobject.add_line_to(current_path_start)
else:
points = np.hstack((np.array(points), np.zeros((len(points), 1))))
if p... | PathVerb = pathops.PathVerb
current_path_start = np.array([0.0, 0.0, 0.0])
for path_verb, points in path:
if path_verb == PathVerb.CLOSE:
vmobject.add_line_to(current_path_start)
else:
points = np.hstack((np.array(points), np.zeros((len(points), 1))))
if p... | 57 | 1,082 | 303 | 1,385 | from __future__ import annotations
import numpy as np
import pathops
from manimlib.mobject.types.vectorized_mobject import VMobject
# Boolean operations between 2D mobjects
# Borrowed from from https://github.com/ManimCommunity/manim/
def _convert_vmobject_to_skia_path(vmobject: VMobject) -> pathops.Path:
path... | from __future__ import annotations
import numpy as np
import pathops
from manimlib.mobject.types.vectorized_mobject import VMobject
# Boolean operations between 2D mobjects
# Borrowed from from https://github.com/ManimCommunity/manim/
def _convert_vmobject_to_skia_path(vmobject: VMobject) -> pathops.Path:
path... | |
66 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/changing.py | 52,53 | 18,98 | update_boundary_copies | AnimatedBoundary | 53,84 | 53,84 | class AnimatedBoundary(VGroup):
def __init__(
self,
vmobject: VMobject,
colors: List[ManimColor] = [BLUE_D, BLUE_B, BLUE_E, GREY_BROWN],
max_stroke_width: float = 3.0,
cycle_rate: float = 0.5,
back_and_forth: bool = True,
draw_rate_func: Callable[[float], floa... | class AnimatedBoundary(VGroup):
def __init__(
self,
vmobject: VMobject,
colors: List[ManimColor] = [BLUE_D, BLUE_B, BLUE_E, GREY_BROWN],
max_stroke_width: float = 3.0,
cycle_rate: float = 0.5,
back_and_forth: bool = True,
draw_rate_func: Callable[[float], floa... | # Not actual time, but something which passes at
# an altered rate to make the implementation below
# cleaner
time = self.total_time * self.cycle_rate
growing, fading = self.boundary_copies
colors = self.colors
msw = self.max_stroke_width
vmobject = self.v... | # Not actual time, but something which passes at
# an altered rate to make the implementation below
# cleaner
time = self.total_time * self.cycle_rate
growing, fading = self.boundary_copies
colors = self.colors
msw = self.max_stroke_width
vmobject = self.v... | 101 | 524 | 352 | 876 | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE_B, BLUE_D, BLUE_E, GREY_BROWN, WHITE
from manimlib.mobject.mobject import Mobject
from manimlib.mobject.types.vectorized_mobject import VGroup
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.ra... | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE_B, BLUE_D, BLUE_E, GREY_BROWN, WHITE
from manimlib.mobject.mobject import Mobject
from manimlib.mobject.types.vectorized_mobject import VGroup
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.ra... |
67 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/changing.py | 122,123 | 98,148 | update_path | TracedPath | 123,148 | 123,148 | class TracedPath(VMobject):
def __init__(
self,
traced_point_func: Callable[[], Vect3],
time_traced: float = np.inf,
time_per_anchor: float = 1.0 / 15,
stroke_width: float | Iterable[float] = 2.0,
stroke_color: ManimColor = WHITE,
fill_opacity: float = 0.0,
... | class TracedPath(VMobject):
def __init__(
self,
traced_point_func: Callable[[], Vect3],
time_traced: float = np.inf,
time_per_anchor: float = 1.0 / 15,
stroke_width: float | Iterable[float] = 2.0,
stroke_color: ManimColor = WHITE,
fill_opacity: float = 0.0,
... | if dt == 0:
return self
point = self.traced_point_func().copy()
self.traced_points.append(point)
if self.time_traced < np.inf:
n_relevant_points = int(self.time_traced / dt + 0.5)
n_tps = len(self.traced_points)
if n_tps < n_relevant_point... | if dt == 0:
return self
point = self.traced_point_func().copy()
self.traced_points.append(point)
if self.time_traced < np.inf:
n_relevant_points = int(self.time_traced / dt + 0.5)
n_tps = len(self.traced_points)
if n_tps < n_relevant_point... | 72 | 290 | 287 | 577 | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE_B, BLUE_D, BLUE_E, GREY_BROWN, WHITE
from manimlib.mobject.mobject import Mobject
from manimlib.mobject.types.vectorized_mobject import VGroup
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.ra... | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE_B, BLUE_D, BLUE_E, GREY_BROWN, WHITE
from manimlib.mobject.mobject import Mobject
from manimlib.mobject.types.vectorized_mobject import VGroup
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.ra... |
68 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 67,68 | 52,74 | mob_on_mouse_press | Button | 68,74 | 68,74 | class Button(Mobject):
"""
Pass any mobject and register an on_click method
The on_click method takes mobject as argument like updater
"""
def __init__(self, mobject: Mobject, on_click: Callable[[Mobject]], **kwargs):
super().__init__(**kwargs)
assert(isinstance(mobject, Mo... | class Button(Mobject):
"""
Pass any mobject and register an on_click method
The on_click method takes mobject as argument like updater
"""
def __init__(self, mobject: Mobject, on_click: Callable[[Mobject]], **kwargs):
super().__init__(**kwargs)
assert(isinstance(mobject, Mo... | self.on_click(mob)
return False
# Controls
| self.on_click(mob)
return False
# Controls
| 5 | 189 | 28 | 217 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
69 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 188,189 | 138,213 | get_checkmark | Checkbox | 189,200 | 189,200 | class Checkbox(ControlMobject):
def __init__(
self,
value: bool = True,
value_type: np.dtype = np.dtype(bool),
rect_kwargs: dict = {
"width": 0.5,
"height": 0.5,
"fill_opacity": 0.0
},
checkmark_kwargs: dict = {
"stroke_... | class Checkbox(ControlMobject):
def __init__(
self,
value: bool = True,
value_type: np.dtype = np.dtype(bool),
rect_kwargs: dict = {
"width": 0.5,
"height": 0.5,
"fill_opacity": 0.0
},
checkmark_kwargs: dict = {
"stroke_... | checkmark = VGroup(
Line(UP / 2 + 2 * LEFT, DOWN + LEFT, **self.checkmark_kwargs),
Line(DOWN + LEFT, UP + RIGHT, **self.checkmark_kwargs)
)
checkmark.stretch_to_fit_width(self.box.get_width())
checkmark.stretch_to_fit_height(self.box.get_height())
checkma... | checkmark = VGroup(
Line(UP / 2 + 2 * LEFT, DOWN + LEFT, **self.checkmark_kwargs),
Line(DOWN + LEFT, UP + RIGHT, **self.checkmark_kwargs)
)
checkmark.stretch_to_fit_width(self.box.get_width())
checkmark.stretch_to_fit_height(self.box.get_height())
checkma... | 28 | 658 | 148 | 806 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
70 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 366,367 | 277,382 | get_value | ColorSliders | 367,373 | 367,373 | class ColorSliders(Group):
def __init__(
self,
sliders_kwargs: dict = {},
rect_kwargs: dict = {
"width": 2.0,
"height": 0.5,
"stroke_opacity": 1.0
},
background_grid_kwargs: dict = {
"colors": [GREY_A, GREY_C],
"sing... | class ColorSliders(Group):
def __init__(
self,
sliders_kwargs: dict = {},
rect_kwargs: dict = {
"width": 2.0,
"height": 0.5,
"stroke_opacity": 1.0
},
background_grid_kwargs: dict = {
"colors": [GREY_A, GREY_C],
"sing... | r = self.r_slider.get_value() / 255
g = self.g_slider.get_value() / 255
b = self.b_slider.get_value() / 255
alpha = self.a_slider.get_value()
return np.array((r, g, b, alpha))
| r = self.r_slider.get_value() / 255
g = self.g_slider.get_value() / 255
b = self.b_slider.get_value() / 255
alpha = self.a_slider.get_value()
return np.array((r, g, b, alpha))
| 23 | 1,243 | 97 | 1,340 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
71 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 83,84 | 74,97 | set_value | ControlMobject | 84,88 | 84,88 | class ControlMobject(ValueTracker):
def __init__(self, value: float, *mobjects: Mobject, **kwargs):
super().__init__(value=value, **kwargs)
self.add(*mobjects)
# To avoid lock_static_mobject_data while waiting in scene
self.add_updater(lambda mob: None)
self.fix_in_frame()
... | class ControlMobject(ValueTracker):
def __init__(self, value: float, *mobjects: Mobject, **kwargs):
super().__init__(value=value, **kwargs)
self.add(*mobjects)
# To avoid lock_static_mobject_data while waiting in scene
self.add_updater(lambda mob: None)
self.fix_in_frame()
... | self.assert_value(value)
self.set_value_anim(value)
return ValueTracker.set_value(self, value)
| self.assert_value(value)
self.set_value_anim(value)
return ValueTracker.set_value(self, value)
| 5 | 173 | 42 | 215 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
72 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 520,521 | 467,569 | move_panel_and_controls_to_panel_opener | ControlPanel | 521,536 | 521,536 | class ControlPanel(Group):
def __init__(
self,
*controls: ControlMobject,
panel_kwargs: dict = {
"width": FRAME_WIDTH / 4,
"height": MED_SMALL_BUFF + FRAME_HEIGHT,
"fill_color": GREY_C,
"fill_opacity": 1.0,
"stroke_width": 0.0
... | class ControlPanel(Group):
def __init__(
self,
*controls: ControlMobject,
panel_kwargs: dict = {
"width": FRAME_WIDTH / 4,
"height": MED_SMALL_BUFF + FRAME_HEIGHT,
"fill_color": GREY_C,
"fill_opacity": 1.0,
"stroke_width": 0.0
... | self.panel.next_to(
self.panel_opener_rect,
direction=UP,
buff=0
)
controls_old_x = self.controls.get_x()
self.controls.next_to(
self.panel_opener_rect,
direction=UP,
buff=MED_SMALL_BUFF
)
self.cont... | self.panel.next_to(
self.panel_opener_rect,
direction=UP,
buff=0
)
controls_old_x = self.controls.get_x()
self.controls.next_to(
self.panel_opener_rect,
direction=UP,
buff=MED_SMALL_BUFF
)
self.cont... | 14 | 1,139 | 131 | 1,270 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
73 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 124,125 | 97,138 | set_value_anim | EnableDisableButton | 125,130 | 125,130 | class EnableDisableButton(ControlMobject):
def __init__(
self,
value: bool = True,
value_type: np.dtype = np.dtype(bool),
rect_kwargs: dict = {
"width": 0.5,
"height": 0.5,
"fill_opacity": 1.0
},
enable_color: ManimColor = GREEN,
... | class EnableDisableButton(ControlMobject):
def __init__(
self,
value: bool = True,
value_type: np.dtype = np.dtype(bool),
rect_kwargs: dict = {
"width": 0.5,
"height": 0.5,
"fill_opacity": 1.0
},
enable_color: ManimColor = GREEN,
... | if value:
self.box.set_fill(self.enable_color)
else:
self.box.set_fill(self.disable_color)
| if value:
self.box.set_fill(self.enable_color)
else:
self.box.set_fill(self.disable_color)
| 5 | 357 | 47 | 404 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
74 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 267,268 | 213,277 | get_value_from_point | LinearNumberSlider | 268,277 | 268,277 | class LinearNumberSlider(ControlMobject):
def __init__(
self,
value: float = 0,
value_type: type = np.float64,
min_value: float = -10.0,
max_value: float = 10.0,
step: float = 1.0,
rounded_rect_kwargs: dict = {
"height": 0.075,
"width":... | class LinearNumberSlider(ControlMobject):
def __init__(
self,
value: float = 0,
value_type: type = np.float64,
min_value: float = -10.0,
max_value: float = 10.0,
step: float = 1.0,
rounded_rect_kwargs: dict = {
"height": 0.075,
"width":... | start, end = self.slider_axis.get_start_and_end()
point_on_line = get_closest_point_on_line(start, end, point)
prop = get_norm(point_on_line - start) / get_norm(end - start)
value = self.min_value + prop * (self.max_value - self.min_value)
no_of_steps = int((value - self.min_valu... | start, end = self.slider_axis.get_start_and_end()
point_on_line = get_closest_point_on_line(start, end, point)
prop = get_norm(point_on_line - start) / get_norm(end - start)
value = self.min_value + prop * (self.max_value - self.min_value)
no_of_steps = int((value - self.min_valu... | 43 | 668 | 167 | 835 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
75 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 47,48 | 34,52 | mob_on_mouse_drag | MotionMobject | 48,52 | 48,52 | class MotionMobject(Mobject):
"""
You could hold and drag this object to any position
"""
def __init__(self, mobject: Mobject, **kwargs):
super().__init__(**kwargs)
assert(isinstance(mobject, Mobject))
self.mobject = mobject
self.mobject.add_mouse_drag_listner(self.mo... | class MotionMobject(Mobject):
"""
You could hold and drag this object to any position
"""
def __init__(self, mobject: Mobject, **kwargs):
super().__init__(**kwargs)
assert(isinstance(mobject, Mobject))
self.mobject = mobject
self.mobject.add_mouse_drag_listner(self.mo... | mob.move_to(event_data["point"])
return False
| mob.move_to(event_data["point"])
return False
| 3 | 192 | 25 | 217 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
76 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/interactive.py | 445,446 | 382,467 | on_key_press | Textbox | 446,467 | 446,467 | class Textbox(ControlMobject):
def __init__(
self,
value: str = "",
value_type: np.dtype = np.dtype(object),
box_kwargs: dict = {
"width": 2.0,
"height": 1.0,
"fill_color": WHITE,
"fill_opacity": 1.0,
},
text_kwargs: dic... | class Textbox(ControlMobject):
def __init__(
self,
value: str = "",
value_type: np.dtype = np.dtype(object),
box_kwargs: dict = {
"width": 2.0,
"height": 1.0,
"fill_color": WHITE,
"fill_opacity": 1.0,
},
text_kwargs: dic... | symbol = event_data["symbol"]
modifiers = event_data["modifiers"]
char = chr(symbol)
if mob.isActive:
old_value = mob.get_value()
new_value = old_value
if char.isalnum():
if (modifiers & PygletWindowKeys.MOD_SHIFT) or (modifiers & Pygle... | symbol = event_data["symbol"]
modifiers = event_data["modifiers"]
char = chr(symbol)
if mob.isActive:
old_value = mob.get_value()
new_value = old_value
if char.isalnum():
if (modifiers & PygletWindowKeys.MOD_SHIFT) or (modifiers & Pygle... | 68 | 736 | 259 | 995 | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... | from __future__ import annotations
import numpy as np
from pyglet.window import key as PygletWindowKeys
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.constant... |
77 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/mobject_update_utils.py | 34,35 | 1,124 | f_always | 40,55 | 35,55 | from __future__ import annotations
import inspect
from manimlib.constants import DEGREES
from manimlib.constants import RIGHT
from manimlib.mobject.mobject import Mobject
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
import n... | from __future__ import annotations
import inspect
from manimlib.constants import DEGREES
from manimlib.constants import RIGHT
from manimlib.mobject.mobject import Mobject
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
import n... | assert_is_mobject_method(method)
mobject = method.__self__
func = method.__func__
def updater(mob):
args = [
arg_generator()
for arg_generator in arg_generators
]
func(mob, *args, **kwargs)
mobject.add_updater(updater)
return mobject
| """
More functional version of always, where instead
of taking in args, it takes in functions which output
the relevant arguments.
"""
assert_is_mobject_method(method)
mobject = method.__self__
func = method.__func__
def updater(mob):
args = [
arg_generator()
... | 24 | 879 | 116 | 995 | from __future__ import annotations
import inspect
from manimlib.constants import DEGREES
from manimlib.constants import RIGHT
from manimlib.mobject.mobject import Mobject
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
import n... | from __future__ import annotations
import inspect
from manimlib.constants import DEGREES
from manimlib.constants import RIGHT
from manimlib.mobject.mobject import Mobject
from manimlib.utils.simple_functions import clip
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
import n... | |
80 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/numbers.py | 187,188 | 26,199 | _handle_scale_side_effects | DecimalNumber | 188,191 | 188,191 | class DecimalNumber(VMobject):
def __init__(
self,
number: float | complex = 0,
color: ManimColor = WHITE,
stroke_width: float = 0,
fill_opacity: float = 1.0,
num_decimal_places: int = 2,
include_sign: bool = False,
group_with_commas: bool = True,
... | class DecimalNumber(VMobject):
def __init__(
self,
number: float | complex = 0,
color: ManimColor = WHITE,
stroke_width: float = 0,
fill_opacity: float = 1.0,
num_decimal_places: int = 2,
include_sign: bool = False,
group_with_commas: bool = True,
... | self.uniforms["font_size"] = scale_factor * self.uniforms["font_size"]
return self
| self.uniforms["font_size"] = scale_factor * self.uniforms["font_size"]
return self
| 7 | 1,966 | 33 | 1,999 | from __future__ import annotations
from functools import lru_cache
import numpy as np
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import WHITE
from manimlib.mobject.svg.tex_mobject import Tex
from manimlib.mobject.svg.text_mobject import Text
from manimlib.mobject.types.vectorized_mob... | from __future__ import annotations
from functools import lru_cache
import numpy as np
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import WHITE
from manimlib.mobject.svg.tex_mobject import Tex
from manimlib.mobject.svg.text_mobject import Text
from manimlib.mobject.types.vectorized_mob... |
81 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/numbers.py | 208,209 | 199,210 | get_value | Integer | 209,210 | 209,210 | class Integer(DecimalNumber):
def __init__(
self,
number: int = 0,
num_decimal_places: int = 0,
**kwargs,
):
super().__init__(number, num_decimal_places=num_decimal_places, **kwargs)
def get_value(self) -> int:
FILL_FUNC_BODY | class Integer(DecimalNumber):
def __init__(
self,
number: int = 0,
num_decimal_places: int = 0,
**kwargs,
):
super().__init__(number, num_decimal_places=num_decimal_places, **kwargs)
def get_value(self) -> int:
FILL_FUNC_BODY | return int(np.round(super().get_value()))
| return int(np.round(super().get_value()))
| 2 | 98 | 16 | 114 | from __future__ import annotations
from functools import lru_cache
import numpy as np
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import WHITE
from manimlib.mobject.svg.tex_mobject import Tex
from manimlib.mobject.svg.text_mobject import Text
from manimlib.mobject.types.vectorized_mob... | from __future__ import annotations
from functools import lru_cache
import numpy as np
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import WHITE
from manimlib.mobject.svg.tex_mobject import Tex
from manimlib.mobject.svg.text_mobject import Text
from manimlib.mobject.types.vectorized_mob... |
82 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/probability.py | 239,240 | 195,308 | add_axes | BarChart | 240,276 | 240,276 | class BarChart(VGroup):
def __init__(
self,
values: Iterable[float],
height: float = 4,
width: float = 6,
n_ticks: int = 4,
include_x_ticks: bool = False,
tick_width: float = 0.2,
tick_height: float = 0.15,
label_y_axis: bool = True,
y_... | class BarChart(VGroup):
def __init__(
self,
values: Iterable[float],
height: float = 4,
width: float = 6,
n_ticks: int = 4,
include_x_ticks: bool = False,
tick_width: float = 0.2,
tick_height: float = 0.15,
label_y_axis: bool = True,
y_... | x_axis = Line(self.tick_width * LEFT / 2, self.width * RIGHT)
y_axis = Line(MED_LARGE_BUFF * DOWN, self.height * UP)
y_ticks = VGroup()
heights = np.linspace(0, self.height, self.n_ticks + 1)
values = np.linspace(0, self.max_value, self.n_ticks + 1)
for y, value in zip(he... | x_axis = Line(self.tick_width * LEFT / 2, self.width * RIGHT)
y_axis = Line(MED_LARGE_BUFF * DOWN, self.height * UP)
y_ticks = VGroup()
heights = np.linspace(0, self.height, self.n_ticks + 1)
values = np.linspace(0, self.max_value, self.n_ticks + 1)
for y, value in zip(he... | 119 | 899 | 574 | 1,473 | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE, BLUE_E, GREEN_E, GREY_B, GREY_D, MAROON_B, YELLOW
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.mobject.geometry import Line
from ma... | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE, BLUE_E, GREEN_E, GREY_B, GREY_D, MAROON_B, YELLOW
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.mobject.geometry import Line
from ma... |
83 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/probability.py | 118,125 | 28,195 | get_subdivision_braces_and_labels | SampleSpace | 125,150 | 125,150 | class SampleSpace(Rectangle):
def __init__(
self,
width: float = 3,
height: float = 3,
fill_color: ManimColor = GREY_D,
fill_opacity: float = 1,
stroke_width: float = 0.5,
stroke_color: ManimColor = GREY_B,
default_label_scale_val: float = 1,
*... | class SampleSpace(Rectangle):
def __init__(
self,
width: float = 3,
height: float = 3,
fill_color: ManimColor = GREY_D,
fill_opacity: float = 1,
stroke_width: float = 0.5,
stroke_color: ManimColor = GREY_B,
default_label_scale_val: float = 1,
*... | label_mobs = VGroup()
braces = VGroup()
for label, part in zip(labels, parts):
brace = Brace(
part, direction,
buff=buff
)
if isinstance(label, Mobject):
label_mob = label
else:
label_... | label_mobs = VGroup()
braces = VGroup()
for label, part in zip(labels, parts):
brace = Brace(
part, direction,
buff=buff
)
if isinstance(label, Mobject):
label_mob = label
else:
label_... | 54 | 1,493 | 245 | 1,738 | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE, BLUE_E, GREEN_E, GREY_B, GREY_D, MAROON_B, YELLOW
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.mobject.geometry import Line
from ma... | from __future__ import annotations
import numpy as np
from manimlib.constants import BLUE, BLUE_E, GREEN_E, GREY_B, GREY_D, MAROON_B, YELLOW
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import MED_LARGE_BUFF, MED_SMALL_BUFF, SMALL_BUFF
from manimlib.mobject.geometry import Line
from ma... |
84 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/shape_matchers.py | 94,95 | 48,98 | get_fill_color | BackgroundRectangle | 95,98 | 95,98 | class BackgroundRectangle(SurroundingRectangle):
def __init__(
self,
mobject: Mobject,
color: ManimColor = None,
stroke_width: float = 0,
stroke_opacity: float = 0,
fill_opacity: float = 0.75,
buff: float = 0,
**kwargs
):
if color is None:
... | class BackgroundRectangle(SurroundingRectangle):
def __init__(
self,
mobject: Mobject,
color: ManimColor = None,
stroke_width: float = 0,
stroke_opacity: float = 0,
fill_opacity: float = 0.75,
buff: float = 0,
**kwargs
):
if color is None:
... | return Color(self.color)
| return Color(self.color)
| 2 | 431 | 14 | 445 | from __future__ import annotations
from colour import Color
from manimlib.constants import BLACK, RED, YELLOW, WHITE
from manimlib.constants import DL, DOWN, DR, LEFT, RIGHT, UL, UR
from manimlib.constants import SMALL_BUFF
from manimlib.mobject.geometry import Line
from manimlib.mobject.geometry import Rectangle
fro... | from __future__ import annotations
from colour import Color
from manimlib.constants import BLACK, RED, YELLOW, WHITE
from manimlib.constants import DL, DOWN, DR, LEFT, RIGHT, UL, UR
from manimlib.constants import SMALL_BUFF
from manimlib.mobject.geometry import Line
from manimlib.mobject.geometry import Rectangle
fro... |
85 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/shape_matchers.py | 36,37 | 22,48 | surround | SurroundingRectangle | 37,42 | 37,42 | class SurroundingRectangle(Rectangle):
def __init__(
self,
mobject: Mobject,
buff: float = SMALL_BUFF,
color: ManimColor = YELLOW,
**kwargs
):
super().__init__(color=color, **kwargs)
self.buff = buff
self.surround(mobject)
if mobject.is_fix... | class SurroundingRectangle(Rectangle):
def __init__(
self,
mobject: Mobject,
buff: float = SMALL_BUFF,
color: ManimColor = YELLOW,
**kwargs
):
super().__init__(color=color, **kwargs)
self.buff = buff
self.surround(mobject)
if mobject.is_fix... | self.mobject = mobject
self.buff = buff if buff is not None else self.buff
super().surround(mobject, self.buff)
return self
| self.mobject = mobject
self.buff = buff if buff is not None else self.buff
super().surround(mobject, self.buff)
return self
| 17 | 185 | 49 | 234 | from __future__ import annotations
from colour import Color
from manimlib.constants import BLACK, RED, YELLOW, WHITE
from manimlib.constants import DL, DOWN, DR, LEFT, RIGHT, UL, UR
from manimlib.constants import SMALL_BUFF
from manimlib.mobject.geometry import Line
from manimlib.mobject.geometry import Rectangle
fro... | from __future__ import annotations
from colour import Color
from manimlib.constants import BLACK, RED, YELLOW, WHITE
from manimlib.constants import DL, DOWN, DR, LEFT, RIGHT, UL, UR
from manimlib.constants import SMALL_BUFF
from manimlib.mobject.geometry import Line
from manimlib.mobject.geometry import Rectangle
fro... |
86 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/svg/brace.py | 93,94 | 32,110 | get_tex | Brace | 94,99 | 94,99 | class Brace(Tex):
def __init__(
self,
mobject: Mobject,
direction: Vect3 = DOWN,
buff: float = 0.2,
tex_string: str = R"\underbrace{\qquad}",
**kwargs
):
super().__init__(tex_string, **kwargs)
angle = -math.atan2(*direction[:2]) + PI
mobje... | class Brace(Tex):
def __init__(
self,
mobject: Mobject,
direction: Vect3 = DOWN,
buff: float = 0.2,
tex_string: str = R"\underbrace{\qquad}",
**kwargs
):
super().__init__(tex_string, **kwargs)
angle = -math.atan2(*direction[:2]) + PI
mobje... | buff = kwargs.pop("buff", SMALL_BUFF)
tex_mob = Tex(*tex, **kwargs)
self.put_at_tip(tex_mob, buff=buff)
return tex_mob
| buff = kwargs.pop("buff", SMALL_BUFF)
tex_mob = Tex(*tex, **kwargs)
self.put_at_tip(tex_mob, buff=buff)
return tex_mob
| 12 | 816 | 66 | 882 | from __future__ import annotations
import math
import copy
import numpy as np
from manimlib.constants import DEFAULT_MOBJECT_TO_MOBJECT_BUFFER, SMALL_BUFF
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP, DL, DR, UL
from manimlib.constants import PI
from manimlib.animation.composition import AnimationGro... | from __future__ import annotations
import math
import copy
import numpy as np
from manimlib.constants import DEFAULT_MOBJECT_TO_MOBJECT_BUFFER, SMALL_BUFF
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP, DL, DR, UL
from manimlib.constants import PI
from manimlib.animation.composition import AnimationGro... |
87 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/svg/brace.py | 161,162 | 110,175 | change_brace_label | BraceLabel | 162,166 | 162,166 | class BraceLabel(VMobject):
label_constructor: type = Tex
def __init__(
self,
obj: VMobject | list[VMobject],
text: str | Iterable[str],
brace_direction: np.ndarray = DOWN,
label_scale: float = 1.0,
label_buff: float = DEFAULT_MOBJECT_TO_MOBJECT_BUFFER,
*... | class BraceLabel(VMobject):
label_constructor: type = Tex
def __init__(
self,
obj: VMobject | list[VMobject],
text: str | Iterable[str],
brace_direction: np.ndarray = DOWN,
label_scale: float = 1.0,
label_buff: float = DEFAULT_MOBJECT_TO_MOBJECT_BUFFER,
*... | self.shift_brace(obj)
self.change_label(*text)
return self
| self.shift_brace(obj)
self.change_label(*text)
return self
| 4 | 657 | 29 | 686 | from __future__ import annotations
import math
import copy
import numpy as np
from manimlib.constants import DEFAULT_MOBJECT_TO_MOBJECT_BUFFER, SMALL_BUFF
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP, DL, DR, UL
from manimlib.constants import PI
from manimlib.animation.composition import AnimationGro... | from __future__ import annotations
import math
import copy
import numpy as np
from manimlib.constants import DEFAULT_MOBJECT_TO_MOBJECT_BUFFER, SMALL_BUFF
from manimlib.constants import DOWN, LEFT, ORIGIN, RIGHT, UP, DL, DR, UL
from manimlib.constants import PI
from manimlib.animation.composition import AnimationGro... |
90 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/svg/svg_mobject.py | 320,321 | 294,340 | handle_commands | VMobjectFromSVGPath | 321,340 | 321,340 | class VMobjectFromSVGPath(VMobject):
def __init__(
self,
path_obj: se.Path,
**kwargs
):
# Get rid of arcs
path_obj.approximate_arcs_with_quads()
self.path_obj = path_obj
super().__init__(**kwargs)
def init_points(self) -> None:
# After a given... | class VMobjectFromSVGPath(VMobject):
def __init__(
self,
path_obj: se.Path,
**kwargs
):
# Get rid of arcs
path_obj.approximate_arcs_with_quads()
self.path_obj = path_obj
super().__init__(**kwargs)
def init_points(self) -> None:
# After a given... | segment_class_to_func_map = {
se.Move: (self.start_new_path, ("end",)),
se.Close: (self.close_path, ()),
se.Line: (self.add_line_to, ("end",)),
se.QuadraticBezier: (self.add_quadratic_bezier_curve_to, ("control", "end")),
se.CubicBezier: (self.add_cubi... | segment_class_to_func_map = {
se.Move: (self.start_new_path, ("end",)),
se.Close: (self.close_path, ()),
se.Line: (self.add_line_to, ("end",)),
se.QuadraticBezier: (self.add_quadratic_bezier_curve_to, ("control", "end")),
se.CubicBezier: (self.add_cubi... | 60 | 293 | 304 | 597 | from __future__ import annotations
import os
from xml.etree import ElementTree as ET
import numpy as np
import svgelements as se
import io
from manimlib.constants import RIGHT
from manimlib.logger import log
from manimlib.mobject.geometry import Circle
from manimlib.mobject.geometry import Line
from manimlib.mobject... | from __future__ import annotations
import os
from xml.etree import ElementTree as ET
import numpy as np
import svgelements as se
import io
from manimlib.constants import RIGHT
from manimlib.logger import log
from manimlib.mobject.geometry import Circle
from manimlib.mobject.geometry import Line
from manimlib.mobject... |
91 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/types/image_mobject.py | 39,40 | 20,76 | init_data | ImageMobject | 40,45 | 40,45 | class ImageMobject(Mobject):
shader_folder: str = "image"
shader_dtype: Sequence[Tuple[str, type, Tuple[int]]] = [
('point', np.float32, (3,)),
('im_coords', np.float32, (2,)),
('opacity', np.float32, (1,)),
]
def __init__(
self,
filename: str,
height: fl... | class ImageMobject(Mobject):
shader_folder: str = "image"
shader_dtype: Sequence[Tuple[str, type, Tuple[int]]] = [
('point', np.float32, (3,)),
('im_coords', np.float32, (2,)),
('opacity', np.float32, (1,)),
]
def __init__(
self,
filename: str,
height: fl... | super().init_data(length=4)
self.data["point"][:] = [UL, DL, UR, DR]
self.data["im_coords"][:] = [(0, 0), (0, 1), (1, 0), (1, 1)]
self.data["opacity"][:] = self.opacity
| super().init_data(length=4)
self.data["point"][:] = [UL, DL, UR, DR]
self.data["im_coords"][:] = [(0, 0), (0, 1), (1, 0), (1, 1)]
self.data["opacity"][:] = self.opacity
| 20 | 622 | 95 | 717 | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.constants import DL, DR, UL, UR
from manimlib.mobject.mobject import Mobject
from manimlib.utils.bezier import inverse_interpolate
from manimlib.utils.images import get_full_raster_image_path
from manimlib.utils.iterables import... | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.constants import DL, DR, UL, UR
from manimlib.mobject.mobject import Mobject
from manimlib.utils.bezier import inverse_interpolate
from manimlib.utils.images import get_full_raster_image_path
from manimlib.utils.iterables import... |
92 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/types/point_cloud_mobject.py | 69,71 | 17,106 | filter_out | PMobject | 71,75 | 71,75 | class PMobject(Mobject):
def set_points(self, points: Vect3Array):
if len(points) == 0:
points = np.zeros((0, 3))
super().set_points(points)
self.resize_points(len(points))
return self
def add_points(
self,
points: Vect3Array,
rgbas: Vect4Arra... | class PMobject(Mobject):
def set_points(self, points: Vect3Array):
if len(points) == 0:
points = np.zeros((0, 3))
super().set_points(points)
self.resize_points(len(points))
return self
def add_points(
self,
points: Vect3Array,
rgbas: Vect4Arra... | for mob in self.family_members_with_points():
mob.data = mob.data[~np.apply_along_axis(condition, 1, mob.get_points())]
return self
| for mob in self.family_members_with_points():
mob.data = mob.data[~np.apply_along_axis(condition, 1, mob.get_points())]
return self
| 11 | 930 | 55 | 985 | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.color import color_gradient
from manimlib.utils.color import color_to_rgba
from manimlib.utils.iterables import resize_with_interpolation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.color import color_gradient
from manimlib.utils.color import color_to_rgba
from manimlib.utils.iterables import resize_with_interpolation
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... |
93 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/value_tracker.py | 61,62 | 51,65 | set_value | ExponentialValueTracker | 62,65 | 62,65 | class ExponentialValueTracker(ValueTracker):
"""
Operates just like ValueTracker, except it encodes the value as the
exponential of a position coordinate, which changes how interpolation
behaves
"""
def get_value(self) -> float | complex:
return np.exp(ValueTracker.get_value(self))
... | class ExponentialValueTracker(ValueTracker):
"""
Operates just like ValueTracker, except it encodes the value as the
exponential of a position coordinate, which changes how interpolation
behaves
"""
def get_value(self) -> float | complex:
return np.exp(ValueTracker.get_value(self))
... | return ValueTracker.set_value(self, np.log(value))
| return ValueTracker.set_value(self, np.log(value))
| 3 | 112 | 24 | 136 | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.iterables import listify
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.typing import Self
class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the po... | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.iterables import listify
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.typing import Self
class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the po... |
94 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/value_tracker.py | 30,31 | 13,51 | init_uniforms | ValueTracker | 31,37 | 31,37 | class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the position encodes some
number, often one which another animation or continual_animation
uses for its update function, and by treating it as a mobject it can
still be animated and manipulated just like anything else.
"""
... | class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the position encodes some
number, often one which another animation or continual_animation
uses for its update function, and by treating it as a mobject it can
still be animated and manipulated just like anything else.
"""
... | super().init_uniforms()
self.uniforms["value"] = np.array(
listify(self.value),
dtype=self.value_type,
)
| super().init_uniforms()
self.uniforms["value"] = np.array(
listify(self.value),
dtype=self.value_type,
)
| 7 | 301 | 53 | 354 | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.iterables import listify
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.typing import Self
class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the po... | from __future__ import annotations
import numpy as np
from manimlib.mobject.mobject import Mobject
from manimlib.utils.iterables import listify
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.typing import Self
class ValueTracker(Mobject):
"""
Not meant to be displayed. Instead the po... |
96 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/vector_field.py | 328,329 | 302,334 | update | AnimatedStreamLines | 329,334 | 329,334 | class AnimatedStreamLines(VGroup):
def __init__(
self,
stream_lines: StreamLines,
lag_range: float = 4,
line_anim_config: dict = dict(
rate_func=linear,
time_width=1.0,
),
**kwargs
):
super().__init__(**kwargs)
self.stream_l... | class AnimatedStreamLines(VGroup):
def __init__(
self,
stream_lines: StreamLines,
lag_range: float = 4,
line_anim_config: dict = dict(
rate_func=linear,
time_width=1.0,
),
**kwargs
):
super().__init__(**kwargs)
self.stream_l... | stream_lines = self.stream_lines
for line in stream_lines:
line.time += dt
adjusted_time = max(line.time, 0) % line.anim.run_time
line.anim.update(adjusted_time / line.anim.run_time)
| stream_lines = self.stream_lines
for line in stream_lines:
line.time += dt
adjusted_time = max(line.time, 0) % line.anim.run_time
line.anim.update(adjusted_time / line.anim.run_time)
| 19 | 240 | 77 | 317 | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... |
97 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/vector_field.py | 276,277 | 184,302 | init_style | StreamLines | 277,302 | 277,302 | class StreamLines(VGroup):
def __init__(
self,
func: Callable[[float, float], Sequence[float]],
coordinate_system: CoordinateSystem,
step_multiple: float = 0.5,
n_repeats: int = 1,
noise_factor: float | None = None,
# Config for drawing lines
dt: float... | class StreamLines(VGroup):
def __init__(
self,
func: Callable[[float, float], Sequence[float]],
coordinate_system: CoordinateSystem,
step_multiple: float = 0.5,
n_repeats: int = 1,
noise_factor: float | None = None,
# Config for drawing lines
dt: float... | if self.color_by_magnitude:
values_to_rgbs = get_vectorized_rgb_gradient_function(
*self.magnitude_range, self.color_map,
)
cs = self.coordinate_system
for line in self.submobjects:
norms = [
get_norm(self.func(*... | if self.color_by_magnitude:
values_to_rgbs = get_vectorized_rgb_gradient_function(
*self.magnitude_range, self.color_map,
)
cs = self.coordinate_system
for line in self.submobjects:
norms = [
get_norm(self.func(*... | 56 | 1,088 | 312 | 1,400 | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... |
98 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/mobject/vector_field.py | 157,158 | 121,184 | get_vector | VectorField | 158,184 | 158,184 | class VectorField(VGroup):
def __init__(
self,
func: Callable[[float, float], Sequence[float]],
coordinate_system: CoordinateSystem,
step_multiple: float = 0.5,
magnitude_range: Tuple[float, float] = (0, 2),
color_map: str = "3b1b_colormap",
# Takes in actual ... | class VectorField(VGroup):
def __init__(
self,
func: Callable[[float, float], Sequence[float]],
coordinate_system: CoordinateSystem,
step_multiple: float = 0.5,
magnitude_range: Tuple[float, float] = (0, 2),
color_map: str = "3b1b_colormap",
# Takes in actual ... | vector_config = merge_dicts_recursively(
self.vector_config,
kwargs
)
output = np.array(self.func(*coords))
norm = get_norm(output)
if norm > 0:
output *= self.length_func(norm) / norm
origin = self.coordinate_system.get_origin()
... | vector_config = merge_dicts_recursively(
self.vector_config,
kwargs
)
output = np.array(self.func(*coords))
norm = get_norm(output)
if norm > 0:
output *= self.length_func(norm) / norm
origin = self.coordinate_system.get_origin()
... | 47 | 406 | 246 | 652 | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... | from __future__ import annotations
import itertools as it
import numpy as np
from manimlib.constants import FRAME_HEIGHT, FRAME_WIDTH
from manimlib.constants import WHITE
from manimlib.animation.indication import VShowPassingFlash
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.types.vectorized_mob... |
100 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/customization.py | 11,12 | 1,25 | get_customization | 12,25 | 12,25 | import os
import tempfile
from manimlib.config import get_custom_config
from manimlib.config import get_manim_dir
CUSTOMIZATION = {}
def get_customization():
FILL_FUNC_BODY | import os
import tempfile
from manimlib.config import get_custom_config
from manimlib.config import get_manim_dir
CUSTOMIZATION = {}
def get_customization():
FILL_FUNC_BODY | if not CUSTOMIZATION:
CUSTOMIZATION.update(get_custom_config())
directories = CUSTOMIZATION["directories"]
# Unless user has specified otherwise, use the system default temp
# directory for storing tex files, mobject_data, etc.
if not directories["temporary_storage"]:
... | if not CUSTOMIZATION:
CUSTOMIZATION.update(get_custom_config())
directories = CUSTOMIZATION["directories"]
# Unless user has specified otherwise, use the system default temp
# directory for storing tex files, mobject_data, etc.
if not directories["temporary_storage"]:
... | 49 | 64 | 173 | 237 | import os
import tempfile
from manimlib.config import get_custom_config
from manimlib.config import get_manim_dir
CUSTOMIZATION = {}
def get_customization():
FILL_FUNC_BODY | import os
import tempfile
from manimlib.config import get_custom_config
from manimlib.config import get_manim_dir
CUSTOMIZATION = {}
def get_customization():
FILL_FUNC_BODY | |
101 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/debug.py | 21,25 | 1,33 | index_labels | 25,33 | 25,33 | from __future__ import annotations
from manimlib.constants import BLACK
from manimlib.logger import log
from manimlib.mobject.numbers import Integer
from manimlib.mobject.types.vectorized_mobject import VGroup
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.mobject.mobject import Mobject
def p... | from __future__ import annotations
from manimlib.constants import BLACK
from manimlib.logger import log
from manimlib.mobject.numbers import Integer
from manimlib.mobject.types.vectorized_mobject import VGroup
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.mobject.mobject import Mobject
def p... | labels = VGroup()
for n, submob in enumerate(mobject):
label = Integer(n)
label.set_height(label_height)
label.move_to(submob)
label.set_stroke(BLACK, 5, background=True)
labels.add(label)
return labels
| labels = VGroup()
for n, submob in enumerate(mobject):
label = Integer(n)
label.set_height(label_height)
label.move_to(submob)
label.set_stroke(BLACK, 5, background=True)
labels.add(label)
return labels
| 19 | 232 | 93 | 325 | from __future__ import annotations
from manimlib.constants import BLACK
from manimlib.logger import log
from manimlib.mobject.numbers import Integer
from manimlib.mobject.types.vectorized_mobject import VGroup
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.mobject.mobject import Mobject
def p... | from __future__ import annotations
from manimlib.constants import BLACK
from manimlib.logger import log
from manimlib.mobject.numbers import Integer
from manimlib.mobject.types.vectorized_mobject import VGroup
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from manimlib.mobject.mobject import Mobject
def p... | |
102 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/dict_ops.py | 5,6 | 1,49 | merge_dicts_recursively | 15,25 | 6,25 | import itertools as it
import numpy as np
def merge_dicts_recursively(*dicts):
FILL_FUNC_BODYdef soft_dict_update(d1, d2):
"""
Adds key values pairs of d2 to d1 only when d1 doesn't
already have that key
"""
for key, value in list(d2.items()):
if key not in d1:
d1[key] = value
... | import itertools as it
import numpy as np
def merge_dicts_recursively(*dicts):
"""
Creates a dict whose keyset is the union of all the
input dictionaries. The value for each key is based
on the first dict in the list with that key.
dicts later in the list have higher priority
When values ar... | result = dict()
all_items = it.chain(*[d.items() for d in dicts])
for key, value in all_items:
if key in result and isinstance(result[key], dict) and isinstance(value, dict):
result[key] = merge_dicts_recursively(result[key], value)
else:
result[key] = value
retur... | """
Creates a dict whose keyset is the union of all the
input dictionaries. The value for each key is based
on the first dict in the list with that key.
dicts later in the list have higher priority
When values are dictionaries, it is applied recursively
"""
result = dict()
all_ite... | 35 | 332 | 112 | 444 | import itertools as it
import numpy as np
def merge_dicts_recursively(*dicts):
FILL_FUNC_BODYdef soft_dict_update(d1, d2):
"""
Adds key values pairs of d2 to d1 only when d1 doesn't
already have that key
"""
for key, value in list(d2.items()):
if key not in d1:
d1[key] = value
... | import itertools as it
import numpy as np
def merge_dicts_recursively(*dicts):
"""
Creates a dict whose keyset is the union of all the
input dictionaries. The value for each key is based
on the first dict in the list with that key.
dicts later in the list have higher priority
When values ar... | |
103 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/directories.py | 17,18 | 1,51 | get_tex_dir | 18,21 | 18,21 | from __future__ import annotations
import os
from manimlib.utils.customization import get_customization
from manimlib.utils.file_ops import guarantee_existence
def get_directories() -> dict[str, str]:
return get_customization()["directories"]
def get_temp_dir() -> str:
return get_directories()["temporary_... | from __future__ import annotations
import os
from manimlib.utils.customization import get_customization
from manimlib.utils.file_ops import guarantee_existence
def get_directories() -> dict[str, str]:
return get_customization()["directories"]
def get_temp_dir() -> str:
return get_directories()["temporary_... | return guarantee_existence(os.path.join(get_temp_dir(), "Tex"))
| return guarantee_existence(os.path.join(get_temp_dir(), "Tex"))
| 3 | 389 | 29 | 418 | from __future__ import annotations
import os
from manimlib.utils.customization import get_customization
from manimlib.utils.file_ops import guarantee_existence
def get_directories() -> dict[str, str]:
return get_customization()["directories"]
def get_temp_dir() -> str:
return get_directories()["temporary_... | from __future__ import annotations
import os
from manimlib.utils.customization import get_customization
from manimlib.utils.file_ops import guarantee_existence
def get_directories() -> dict[str, str]:
return get_customization()["directories"]
def get_temp_dir() -> str:
return get_directories()["temporary_... | |
104 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/family_ops.py | 23,24 | 1,49 | recursive_mobject_remove | 33,49 | 24,49 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable, List, Set, Tuple
from manimlib.mobject.mobject import Mobject
def extract_mobject_family_members(
mobject_list: Iterable[Mobject],
exclude_pointless: bool = False
) -> list[Mobject]:
... | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable, List, Set, Tuple
from manimlib.mobject.mobject import Mobject
def extract_mobject_family_members(
mobject_list: Iterable[Mobject],
exclude_pointless: bool = False
) -> list[Mobject]:
... | result = []
found_in_list = False
for mob in mobjects:
if mob in to_remove:
found_in_list = True
continue
# Recursive call
sub_list, found_in_submobjects = recursive_mobject_remove(
mob.submobjects, to_remove
)
if found_in_submobjec... | """
Takes in a list of mobjects, together with a set of mobjects to remove.
The first component of what's removed is a new list such that any mobject
with one of the elements from `to_remove` in its family is no longer in
the list, and in its place are its family members which aren't in `to_remove`... | 39 | 305 | 154 | 459 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable, List, Set, Tuple
from manimlib.mobject.mobject import Mobject
def extract_mobject_family_members(
mobject_list: Iterable[Mobject],
exclude_pointless: bool = False
) -> list[Mobject]:
... | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable, List, Set, Tuple
from manimlib.mobject.mobject import Mobject
def extract_mobject_family_members(
mobject_list: Iterable[Mobject],
exclude_pointless: bool = False
) -> list[Mobject]:
... | |
105 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/file_ops.py | 28,33 | 1,92 | find_file | 33,62 | 33,62 | from __future__ import annotations
import os
import numpy as np
import validators
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable
def add_extension_if_not_present(file_name: str, extension: str) -> str:
# This could conceivably be smarter about handling existing differing ex... | from __future__ import annotations
import os
import numpy as np
import validators
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable
def add_extension_if_not_present(file_name: str, extension: str) -> str:
# This could conceivably be smarter about handling existing differing ex... | # Check if this is a file online first, and if so, download
# it to a temporary directory
if validators.url(file_name):
import urllib.request
from manimlib.utils.directories import get_downloads_dir
stem, name = os.path.split(file_name)
folder = get_downloads_dir()
pa... | # Check if this is a file online first, and if so, download
# it to a temporary directory
if validators.url(file_name):
import urllib.request
from manimlib.utils.directories import get_downloads_dir
stem, name = os.path.split(file_name)
folder = get_downloads_dir()
pa... | 106 | 577 | 300 | 877 | from __future__ import annotations
import os
import numpy as np
import validators
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable
def add_extension_if_not_present(file_name: str, extension: str) -> str:
# This could conceivably be smarter about handling existing differing ex... | from __future__ import annotations
import os
import numpy as np
import validators
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable
def add_extension_if_not_present(file_name: str, extension: str) -> str:
# This could conceivably be smarter about handling existing differing ex... | |
106 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/images.py | 24,25 | 1,36 | get_full_vector_image_path | 25,32 | 25,32 | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.utils.directories import get_raster_image_dir
from manimlib.utils.directories import get_vector_image_dir
from manimlib.utils.file_ops import find_file
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import ... | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.utils.directories import get_raster_image_dir
from manimlib.utils.directories import get_vector_image_dir
from manimlib.utils.file_ops import find_file
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import ... | return find_file(
image_file_name,
directories=[get_vector_image_dir()],
extensions=[".svg", ".xdv", ""],
)
| return find_file(
image_file_name,
directories=[get_vector_image_dir()],
extensions=[".svg", ".xdv", ""],
)
| 8 | 278 | 55 | 333 | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.utils.directories import get_raster_image_dir
from manimlib.utils.directories import get_vector_image_dir
from manimlib.utils.file_ops import find_file
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import ... | from __future__ import annotations
import numpy as np
from PIL import Image
from manimlib.utils.directories import get_raster_image_dir
from manimlib.utils.directories import get_vector_image_dir
from manimlib.utils.file_ops import find_file
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import ... | |
107 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/init_config.py | 35,36 | 1,155 | init_customization | 36,155 | 36,155 | from __future__ import annotations
import importlib
import inspect
import os
import yaml
from rich import box
from rich.console import Console
from rich.prompt import Confirm
from rich.prompt import Prompt
from rich.rule import Rule
from rich.table import Table
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... | from __future__ import annotations
import importlib
import inspect
import os
import yaml
from rich import box
from rich.console import Console
from rich.prompt import Confirm
from rich.prompt import Prompt
from rich.rule import Rule
from rich.table import Table
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... | configuration = {
"directories": {
"mirror_module_path": False,
"output": "",
"raster_images": "",
"vector_images": "",
"sounds": "",
"temporary_storage": "",
},
"universal_import_line": "from manimlib import *",
... | configuration = {
"directories": {
"mirror_module_path": False,
"output": "",
"raster_images": "",
"vector_images": "",
"sounds": "",
"temporary_storage": "",
},
"universal_import_line": "from manimlib import *",
... | 344 | 282 | 1,438 | 1,720 | from __future__ import annotations
import importlib
import inspect
import os
import yaml
from rich import box
from rich.console import Console
from rich.prompt import Confirm
from rich.prompt import Prompt
from rich.rule import Rule
from rich.table import Table
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... | from __future__ import annotations
import importlib
import inspect
import os
import yaml
from rich import box
from rich.console import Console
from rich.prompt import Confirm
from rich.prompt import Prompt
from rich.rule import Rule
from rich.table import Table
from typing import TYPE_CHECKING
if TYPE_CHECKING:
... | |
108 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/paths.py | 36,40 | 1,67 | path_along_arc | 44,61 | 40,61 | from __future__ import annotations
import math
import numpy as np
from manimlib.constants import OUT
from manimlib.utils.bezier import interpolate
from manimlib.utils.space_ops import get_norm
from manimlib.utils.space_ops import rotation_matrix_transpose
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... | from __future__ import annotations
import math
import numpy as np
from manimlib.constants import OUT
from manimlib.utils.bezier import interpolate
from manimlib.utils.space_ops import get_norm
from manimlib.utils.space_ops import rotation_matrix_transpose
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... | if abs(arc_angle) < STRAIGHT_PATH_THRESHOLD:
return straight_path
if get_norm(axis) == 0:
axis = OUT
unit_axis = axis / get_norm(axis)
def path(start_points, end_points, alpha):
vects = end_points - start_points
centers = start_points + 0.5 * vects
if arc_angle !... | """
If vect is vector from start to end, [vect[:,1], -vect[:,0]] is
perpendicular to vect in the left direction.
"""
if abs(arc_angle) < STRAIGHT_PATH_THRESHOLD:
return straight_path
if get_norm(axis) == 0:
axis = OUT
unit_axis = axis / get_norm(axis)
def path(start_poin... | 63 | 443 | 217 | 660 | from __future__ import annotations
import math
import numpy as np
from manimlib.constants import OUT
from manimlib.utils.bezier import interpolate
from manimlib.utils.space_ops import get_norm
from manimlib.utils.space_ops import rotation_matrix_transpose
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... | from __future__ import annotations
import math
import numpy as np
from manimlib.constants import OUT
from manimlib.utils.bezier import interpolate
from manimlib.utils.space_ops import get_norm
from manimlib.utils.space_ops import rotation_matrix_transpose
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from... | |
109 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/rate_functions.py | 32,33 | 1,110 | slow_into | 33,36 | 33,36 | from __future__ import annotations
import numpy as np
from manimlib.utils.bezier import bezier
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
def linear(t: float) -> float:
return t
def smooth(t: float) -> float:
# Zero first and second derivatives at t=0 and t=1.
... | from __future__ import annotations
import numpy as np
from manimlib.utils.bezier import bezier
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
def linear(t: float) -> float:
return t
def smooth(t: float) -> float:
# Zero first and second derivatives at t=0 and t=1.
... | return np.sqrt(1 - (1 - t) * (1 - t))
| return np.sqrt(1 - (1 - t) * (1 - t))
| 10 | 1,001 | 25 | 1,026 | from __future__ import annotations
import numpy as np
from manimlib.utils.bezier import bezier
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
def linear(t: float) -> float:
return t
def smooth(t: float) -> float:
# Zero first and second derivatives at t=0 and t=1.
... | from __future__ import annotations
import numpy as np
from manimlib.utils.bezier import bezier
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable
def linear(t: float) -> float:
return t
def smooth(t: float) -> float:
# Zero first and second derivatives at t=0 and t=1.
... | |
110 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/simple_functions.py | 36,37 | 1,103 | get_parameters | 37,46 | 37,46 | from __future__ import annotations
from functools import lru_cache
import hashlib
import inspect
import math
import numpy as np
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable, TypeVar, Iterable
from manimlib.typing import FloatArray
Scalable = TypeVar("Scalable", float, F... | from __future__ import annotations
from functools import lru_cache
import hashlib
import inspect
import math
import numpy as np
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable, TypeVar, Iterable
from manimlib.typing import FloatArray
Scalable = TypeVar("Scalable", float, F... | return inspect.signature(function).parameters.keys()
# Just to have a less heavyweight name for this extremely common operation
#
# We may wish to have more fine-grained control over division by zero behavior
# in the future (separate specifiable values for 0/0 and x/0 with x != 0),
# but for now, we just allow th... | return inspect.signature(function).parameters.keys()
# Just to have a less heavyweight name for this extremely common operation
#
# We may wish to have more fine-grained control over division by zero behavior
# in the future (separate specifiable values for 0/0 and x/0 with x != 0),
# but for now, we just allow th... | 58 | 837 | 107 | 944 | from __future__ import annotations
from functools import lru_cache
import hashlib
import inspect
import math
import numpy as np
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable, TypeVar, Iterable
from manimlib.typing import FloatArray
Scalable = TypeVar("Scalable", float, F... | from __future__ import annotations
from functools import lru_cache
import hashlib
import inspect
import math
import numpy as np
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Callable, TypeVar, Iterable
from manimlib.typing import FloatArray
Scalable = TypeVar("Scalable", float, F... | |
111 | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim | /home/hieuvd/dung_repo/raw/stars_01/3b1b_manim/manim/manimlib/utils/sounds.py | 7,8 | 1,13 | get_full_sound_file_path | 8,13 | 8,13 | from __future__ import annotations
from manimlib.utils.directories import get_sound_dir
from manimlib.utils.file_ops import find_file
def get_full_sound_file_path(sound_file_name: str) -> str:
FILL_FUNC_BODY | from __future__ import annotations
from manimlib.utils.directories import get_sound_dir
from manimlib.utils.file_ops import find_file
def get_full_sound_file_path(sound_file_name: str) -> str:
FILL_FUNC_BODY | return find_file(
sound_file_name,
directories=[get_sound_dir()],
extensions=[".wav", ".mp3", ""]
)
| return find_file(
sound_file_name,
directories=[get_sound_dir()],
extensions=[".wav", ".mp3", ""]
)
| 8 | 76 | 50 | 126 | from __future__ import annotations
from manimlib.utils.directories import get_sound_dir
from manimlib.utils.file_ops import find_file
def get_full_sound_file_path(sound_file_name: str) -> str:
FILL_FUNC_BODY | from __future__ import annotations
from manimlib.utils.directories import get_sound_dir
from manimlib.utils.file_ops import find_file
def get_full_sound_file_path(sound_file_name: str) -> str:
FILL_FUNC_BODY |
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