code: def mock_empath_analyze(doc, **kwargs):
      doc.split()
      return {
          "disappointment": 0.0,
          "violence": 0.0,
          "ugliness": 0.0,
          "legend": 0.0,
          "farming": 0.0,
          "hygiene": 0.0,
          "help": 0.0,
          "payment": 0.0,
          "pride": 0.0,
          "prison": 0.0,
          "night": 2.0,
          "warmth": 0.0,
          "magic": 0.0,
          "tourism": 0.0,
          "play": 0.0,
          "fight": 0.0,
          "sympathy": 0.0,
          "competing": 0.0,
          "speaking": 2.0,
          "politeness": 0.0,
          "hipster": 0.0,
          "blue_collar_job": 1.0,
          "musical": 0.0,
          "optimism": 0.0,
          "power": 0.0,
          "reading": 0.0,
          "royalty": 0.0,
          "noise": 0.0,
          "rage": 0.0,
          "work": 2.0,
          "smell": 0.0,
          "shame": 0.0,
          "medieval": 0.0,
          "terrorism": 1.0,
          "health": 0.0,
          "school": 0.0,
          "poor": 1.0,
          "money": 0.0,
          "politics": 0.0,
          "pain": 0.0,
          "hearing": 0.0,
          "rural": 0.0,
          "economics": 1.0,
          "eating": 0.0,
          "leader": 0.0,
          "hiking": 0.0,
          "shape_and_size": 0.0,
          "weakness": 0.0,
          "friends": 0.0,
          "strength": 1.0,
          "ocean": 0.0,
          "lust": 0.0,
          "medical_emergency": 0.0,
          "restaurant": 0.0,
          "death": 0.0,
          "morning": 1.0,
          "cooking": 0.0,
          "banking": 0.0,
          "dominant_heirarchical": 0.0,
          "party": 1.0,
          "weapon": 0.0,
          "nervousness": 0.0,
          "anticipation": 0.0,
          "hate": 0.0,
          "vehicle": 4.0,
          "art": 0.0,
          "car": 4.0,
          "leisure": 0.0,
          "air_travel": 0.0,
          "traveling": 0.0,
          "animal": 0.0,
          "dispute": 0.0,
          "shopping": 1.0,
          "monster": 0.0,
          "pet": 0.0,
          "science": 0.0,
          "children": 0.0,
          "ridicule": 1.0,
          "affection": 0.0,
          "superhero": 0.0,
          "sexual": 0.0,
          "celebration": 0.0,
          "gain": 0.0,
          "government": 1.0,
          "beach": 0.0,
          "law": 0.0,
          "childish": 0.0,
          "philosophy": 0.0,
          "liquid": 0.0,
          "fire": 0.0,
          "war": 0.0,
          "timidity": 0.0,
          "love": 0.0,
          "occupation": 1.0,
          "achievement": 0.0,
          "worship": 0.0,
          "crime": 0.0,
          "cheerfulness": 0.0,
          "cold": 0.0,
          "weather": 0.0,
          "disgust": 0.0,
          "phone": 0.0,
          "journalism": 0.0,
          "sadness": 0.0,
          "contentment": 0.0,
          "sound": 0.0,
          "breaking": 0.0,
          "neglect": 0.0,
          "listen": 0.0,
          "divine": 0.0,
          "internet": 0.0,
          "confusion": 0.0,
          "religion": 0.0,
          "exotic": 0.0,
          "white_collar_job": 1.0,
          "computer": 0.0,
          "envy": 0.0,
          "wealthy": 0.0,
          "swimming": 0.0,
          "ship": 0.0,
          "suffering": 0.0,
          "college": 0.0,
          "sleep": 2.0,
          "valuable": 0.0,
          "real_estate": 0.0,
          "sailing": 0.0,
          "programming": 0.0,
          "zest": 0.0,
          "anger": 0.0,
          "sports": 0.0,
          "irritability": 0.0,
          "exasperation": 0.0,
          "independence": 0.0,
          "torment": 0.0,
          "dance": 0.0,
          "order": 0.0,
          "urban": 0.0,
          "tool": 0.0,
          "exercise": 0.0,
          "negotiate": 0.0,
          "wedding": 0.0,
          "healing": 0.0,
          "business": 1.0,
          "social_media": 0.0,
          "messaging": 1.0,
          "swearing_terms": 0.0,
          "stealing": 0.0,
          "fabric": 0.0,
          "driving": 4.0,
          "fear": 0.0,
          "fun": 1.0,
          "office": 1.0,
          "communication": 2.0,
          "vacation": 0.0,
          "emotional": 0.0,
          "ancient": 0.0,
          "music": 0.0,
          "domestic_work": 1.0,
          "giving": 1.0,
          "deception": 0.0,
          "beauty": 0.0,
          "movement": 1.0,
          "meeting": 0.0,
          "alcohol": 0.0,
          "heroic": 0.0,
          "plant": 0.0,
          "technology": 0.0,
          "anonymity": 0.0,
          "writing": 0.0,
          "feminine": 0.0,
          "surprise": 0.0,
          "kill": 0.0,
          "water": 0.0,
          "joy": 0.0,
          "dominant_personality": 0.0,
          "toy": 0.0,
          "positive_emotion": 1.0,
          "appearance": 0.0,
          "military": 0.0,
          "aggression": 0.0,
          "negative_emotion": 1.0,
          "youth": 0.0,
          "injury": 0.0,
          "body": 0.0,
          "clothing": 0.0,
          "home": 0.0,
          "family": 0.0,
          "fashion": 0.0,
          "furniture": 0.0,
          "attractive": 0.0,
          "trust": 0.0,
          "cleaning": 0.0,
          "masculine": 0.0,
          "horror": 0.0,
      }
  
file_path: scattertext/scattertext/test/test_featsFromSpacyDocAndEmpath.py
imports: import sys
  from collections import Counter
  from unittest import TestCase
  from unittest.mock import Mock
  from scattertext import whitespace_nlp
  from scattertext.features.FeatsFromOnlyEmpath import FeatsFromOnlyEmpath
  from scattertext.features.FeatsFromSpacyDocAndEmpath import FeatsFromSpacyDocAndEmpath
label_desc: Use image node_id 1 for calling a global function with example usage: mock_empath_analyze(doc) and returns: dict